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  IJCRT Search Xplore - Search all paper by Paper Name , Author Name, and Title

Volume 11 | Issue 5

Volume 11 | Issue 5 | Month  
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  Paper Title: Modern Smart Car Parking

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305112

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305112

  Register Paper ID - 236095

  Title: MODERN SMART CAR PARKING

  Author Name(s): DEEPAK KUMAR, SANDEEP KUMAR MAHATO

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a868-a871

 Year: May 2023

 Downloads: 121

 Abstract

Abstract The rise in population is a major concern as operation of coffers becomes delicate. With the increase in a need for smart metropolises. Smart metropolises are developed in such a way that the problems are answered using technologies like Internet of Things( IoT) technology. One similar problem is parking. Parking in busy thoroughfares is delicate and is a cause of lot of vexation to the people. The difficulty lies in the fact that people won't know the vacuity of parking places. The end of this paper helps to ease the parking issues faced by the people by the use of a smart parking system. The free parking niche is determined using Ultrasound detectors connected to an Arduino board and the data is uploaded to the database. The data from the pall can be brought and the parking niche vacuity can be attained in real time through a web point. The paper also provides the methodology for enforcing this work. The effective software, bias have been linked and the farther advencementswhichare probable have been described compactly.


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Keywords- Ultrasound detector, Database, Arduino, Smart car parking, cloud

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  Paper Title: Restoration of Coral Reefs: Challenges And Sustainability Concern

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305111

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305111

  Register Paper ID - 234604

  Title: RESTORATION OF CORAL REEFS: CHALLENGES AND SUSTAINABILITY CONCERN

  Author Name(s): Ronak Macwan, Dr. Dipika Dalal, Dr. Hitesh Solanki

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a852-a867

 Year: May 2023

 Downloads: 158

 Abstract

Coral reefs are one of an incredibly beneficial ecosystems on earth. Coral reefs are important for our world for several reasons. Besides the fact that they are very scenic and attract tourists, thus they function as a very massive income in environmental and economic professional employment, such as tourism, and food, and coastal protection, and they have variant benefits for our marine environment and the world such as symbioses and a source to finding medicament A substantial proportion of the world's living species, including one-third of the reef-building corals, are threatened with extinction and in pressing the need for conservation action. In this paper we point out the importance and possible extinction. Although relatively few coral reef fishes are at risk of global extinction from climate disturbances, a negatory convex relationship between fish species locally vulnerable to climate change vs. fisheries exploitation indicates that the entire community is vulnerable to the many reefs. Techniques to restore the coral reefs impacted by human disturbance are; salvaging sponges and corals, removing loose debris from the reef, rebuilding three-dimensional (3-D) structures onto levelled-scarified reef surfaces, and transplanting sponges and corals back on the cleared reef surfaces. A substantial proportion of the world's living species, including one-third of the reef-building corals, are threatened with extinction and in pressing the need for conservation action.


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symbioses, corals, coral reefs, coral bleaching

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  Paper Title: ADC Comparator Performance

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305110

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305110

  Register Paper ID - 236178

  Title: ADC COMPARATOR PERFORMANCE

  Author Name(s): Nishi Kumari, Ruqaiya Khanam

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a847-a851

 Year: May 2023

 Downloads: 127

 Abstract

ADC Comparator Performance


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ADC Comparator Performance

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  Paper Title: Effect Of Vetiver Roots On The Fabric Roller Window Blind

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305109

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305109

  Register Paper ID - 236163

  Title: EFFECT OF VETIVER ROOTS ON THE FABRIC ROLLER WINDOW BLIND

  Author Name(s): Dr. Mrs. JAYALAKSHMI.I, Mr. Gokul. K

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a841-a846

 Year: May 2023

 Downloads: 141

 Abstract

Vetiver Roots have coolant, carminative, stomachic, constipating, expectorant, anti-spasmodic, anti-gout, and anthelmintic properties. The plant possesses hepatoprotective, antituberculosis, antidiabetic, antidepressant, antiemetic, cytostatic, and antimicrobial action. Vetiver extract improves skin hydration, skin glow and has anti-ageing properties too. Roller shades will unify the style of any window treatment and give any home a clean, uncluttered appearance. This form of shade can greatly benefit modern homes. Roller shades appear tidy and compact when installed properly. Roller Fabric window blind in which a voile layer is added to reduce glare if the sun is too bright will be a new innovation. The prepared vetiver fabric roller window blind is an unique product with aromatic and its results were very fruitful.


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Vetiver Root, Natural Dye, Fabric Roller window blind.

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  Paper Title: Automation Of Ring Main Unit

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305108

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305108

  Register Paper ID - 236149

  Title: AUTOMATION OF RING MAIN UNIT

  Author Name(s): Jahanvi Tank, Dharmaraj Shardul, Viraj Vidhate, Vicky Gunjal

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a835-a840

 Year: May 2023

 Downloads: 146

 Abstract

The development of communication networks in distribution grids, within the framework of evolving Smart grids, makes it possible to possess a significant amount of information on an entire electrical grid, for the purpose of manual or automatic operation or for making decisions in terms of maintenance and grid development. Active management and protection of distribution networks are beginning to take a foothold in utilities in the world. In this regard, Fault Location, Isolation, and Service Restoration (FLISR) scheme is a prevalent smart grid functionality for enhancing the reliability performance of a distribution system. At the high level, FLISR facilitates faster sectionalization of a distribution feeder during a failure event and reliability improvement is achieved by limiting the exposure to or duration of outage experienced by customers connected to the feeder i.e., Self-Healing. This project introduces a Heuristic Method suitable for FLISR scheme implementation: select manually operated medium voltage isolation switches are upgraded to automated and/or tele-controllable Ring Main Units (RMU). The method assigns a Reliability Value that can be readily calculated for any manual switches under consideration. The result shows that the reliability performance with RMU is most sensitive to feeders with longest length attributes and least sensitive to the feeders with lowest capacity attributes in the network.


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FLISR, RMU, Smart grids, reliability, distribution system, Self-Healing, automated, feeders

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  Paper Title: Revitalising Kambli: From Insight to Intervention

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305107

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305107

  Register Paper ID - 236146

  Title: REVITALISING KAMBLI: FROM INSIGHT TO INTERVENTION

  Author Name(s): Chahana Mehta

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a822-a834

 Year: May 2023

 Downloads: 190

 Abstract

Each region in India has its unique fabric, which has its own cultural significance and is created using traditional weaving techniques. The Kambli fabric is woven from Deccani wool, which is inherently coarse. This study aimed to understand the shortcomings that hinder this fabric's effectiveness. To study the craft in-depth, a field study was conducted in the village of Karagaon in Belgaum, Karnataka. A systematic design intervention was formulated to devise methods to address the issues of coarseness and stiffness of the fabric. Experiments were conducted to test treatments and analyse results. The results of the experiments conclude that Kambli swatches prewashed and desized with soap nut, when agitated and scrubbed in hot water, are an effective way to reduce coarseness.


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sustainability, design intervention, preserving culture, craft revival

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  Paper Title: White Collar Crime: Unraveled

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305106

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305106

  Register Paper ID - 236144

  Title: WHITE COLLAR CRIME: UNRAVELED

  Author Name(s): Adv. Sanjay Sarraf

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a802-a821

 Year: May 2023

 Downloads: 200

 Abstract

White-collar crime has become a significant concern globally, impacting businesses, investors, and consumers alike. This comprehensive article delves into the various aspects of white-collar crime, including its definition, types, psychological factors, and notable cases from around the world, with a special focus on the UK, USA, Canada, and India. The article examines the economic and non-economic costs associated with white-collar crime and discusses the roles of regulatory agencies and legal frameworks in detecting and preventing these offences. It also highlights the importance of corporate governance, ethical leadership, and transparency in creating an environment where white-collar crime is less likely to thrive. Furthermore, the article compares white-collar crime in the UK, USA, Canada, and India, exploring the similarities and differences in their legal frameworks, enforcement strategies, and corporate governance practices. It also identifies unique challenges faced by each country in combating white-collar crime and opportunities for cross-border collaboration and learning. Finally, the article offers a range of suggestions for individuals, businesses, and policymakers to effectively address white-collar crime, including strengthening regulatory frameworks, enhancing inter-agency cooperation, promoting ethics and compliance training, empowering whistleblowers, and leveraging technology. By providing a comprehensive and global perspective on white-collar crime, this article aims to raise awareness of the risks and consequences associated with these offences and encourage a proactive approach to detection, prevention, and prosecution.


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White Collar Crime, White Collar Crime in India, Law for White Collar Crime

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  Paper Title: Image Processing Based Fire Detection System using Raspberry Pi System

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305105

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305105

  Register Paper ID - 236045

  Title: IMAGE PROCESSING BASED FIRE DETECTION SYSTEM USING RASPBERRY PI SYSTEM

  Author Name(s): Mrs.T.L.Spandana, K.Mohan Sai, G.Lalit Sriharsha, K.Neeraja, N.Varshitha

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a798-a801

 Year: May 2023

 Downloads: 145

 Abstract

Internet of things (IoT) is the network of entities that consists of electronics, programmable software, sensors, and communication facility that enables these entities to gather and transfer data. The objective of the proposed system is to alert the remote user while the fire accidents occur. This system can be installed at any remote premise which has threat of fire accidents. Using this system we can detect the fire by camera. So sensors are not required to detect fire. The Raspberry Pi controller processes the camera input and detects fire using heat signatures. By using image processing method, the report is automatically generated and sends to the person immediately after the fire is detected in any part of the frame using Wi-Fi/GSM. On detecting fire, the system will go into emergency mode. The major advantages in this method are: sending the information to the person at any time, any place and remote monitoring for immediate actions.


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- Image processing, Internet of Things, Heat signatures, Sensors

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  Paper Title: A STUDY OF THE POPULATION DYNAMICS OF ACANTHOGYRUS PARASITES OF CATLA CATLA [CYPRINIFORMES: CYPRINIDAE] FROM GANGAPUR DAM, NASHIK, MAHARASHTRA

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305104

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305104

  Register Paper ID - 236020

  Title: A STUDY OF THE POPULATION DYNAMICS OF ACANTHOGYRUS PARASITES OF CATLA CATLA [CYPRINIFORMES: CYPRINIDAE] FROM GANGAPUR DAM, NASHIK, MAHARASHTRA

  Author Name(s): Sushma Singh, Varsha V Andhare

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a791-a797

 Year: May 2023

 Downloads: 164

 Abstract

Acanthocephalans are a family of endoparasitic helminth that parasitize fish worldwide. As an adult they use their thorny proboscis to clamp on to the host's gut tissues. Fish, which is a good source of high-quality animal protein for humans, loses some of its nutritional value as a result of the presence of these worms. 216 intestines of Catla catla fish were procured from the Godavari River in the Gangapur dam region and examined for infection on a monthly basis from April 2018 to March 2019. Most parasites recovered from fish were identified as being Acanthogyrus spp., along with very few nematodes and cestodes parasites. As per the purpose of the present study, the rate of infection of Acanthogyrus spp. in Catla catla was highest in the summer season, low during the monsoon, and the same during the winter season as the overall prevalence.


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Catla catla, Parasite, Acanthogyrus, Prevalence.

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  Paper Title: Traffic Sign Detection and Recognition Using Deep Learning

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305103

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305103

  Register Paper ID - 236016

  Title: TRAFFIC SIGN DETECTION AND RECOGNITION USING DEEP LEARNING

  Author Name(s): Vaishnav Gopal Patil, Aniket Maruti Shelar, Kiran Vilas Shelke, Vaishnav Vilas Shinde, Richa Agarwal

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a783-a790

 Year: May 2023

 Downloads: 145

 Abstract

Road signs are important to ensure smooth traffic flow without bottle necks or mishaps. Road symbols are the pictorial representations having different necessary information required to be understood by driver. Road signs in front of the vehicle are ignored by the drivers and this can lead to catastrophic accidents. This paper presents an overview of the traffic sign board detection and recognition and implements a procedure to extract the road sign from a natural complex image, processes it and alerts the driver using voice command It is implemented in such a way that it acts as a boon to drivers to make easy decisions


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Traffic Sign Detection and Recognition Using Deep Learning, Traffic Sign Detection, Traffic Sign, Deep Learning

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  Paper Title: A study of social media marketing with reference to Hospitality sector

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305102

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305102

  Register Paper ID - 236013

  Title: A STUDY OF SOCIAL MEDIA MARKETING WITH REFERENCE TO HOSPITALITY SECTOR

  Author Name(s): Dr. Saveen Kumari, Rekha

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a776-a782

 Year: May 2023

 Downloads: 155

 Abstract

The hospitality sector is quite diverse and includes a wide range of categories and industries, including the hotel business, aviation, food and beverage, travel, and tourism, to mention a few. There is a greater requirement from management and industry professionals to understand how guests choose hotels to stay in and what are the dominant decision-making criteria as a result of the hospitality industry's and the hotel sector's strong expansion in recent years. In addition, this study's objective is to thoroughly examine and examine the literature on the aspects that social media marketing influences. In addition, despite years of research, it appears that we still know very little about how guests choose their hotel accommodations and the key hotel characteristics because this topic may be subjective and challenging to analyze. This is also influenced by the fact that the majority of earlier studies concentrated on choice attributes rather than the actual decision-making process; consequently, this paper will attempt to investigate a wide range of literature in order to establish best research practices and make suggestions for future studies. This essay also looks at literature on hotel-related topics and client decision-making, both of which are crucial in the rapidly expanding hospitality sector.


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Hospitality, Social media marketing, Tourism industry

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  Paper Title: A SYSTEMATIC REVIEW OF EBOLA VIRAL DISEASE.

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305101

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305101

  Register Paper ID - 236012

  Title: A SYSTEMATIC REVIEW OF EBOLA VIRAL DISEASE.

  Author Name(s): Shelake Sujit Nandkumar, Gade Vijay Limbraj, Gaikwad Akash Mukund, Dr.Aamer Quazi

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a768-a775

 Year: May 2023

 Downloads: 124

 Abstract

Ebola virus is transmitted to people as a result of direct contact with body fluids containing virus of an infected case. The incubation period generally lasts 5 to 7 d and roughly 95 of the cases appear signs within 21 d after exposure. Typical features include fever, profound weakness, diarrhea, abdominal pain, cramping, nausea and puking for 3- 5 days and perhaps persisting for over to a week. Laboratory complications including elevated aminotransferase situations, pronounced lymphocytopenia, and thrombocytopenia may have passed. Hemorrhagic fever occurs in lower than half of cases and it takes place most generally in the gastrointestinaltract.Ebola contagion complaint( EVD) is a life- hanging viral complaint with a casualty rate ranging from around 30 to 90. The first EVD outbreak was reported in the 1970s in Zaire( now the Democratic Republic of the Congo). Until 2013, utmost outbreaks passed in the Central Africa region, including Zaire, Sudan and Uganda. still, between March and October 2014, over 10000 cases of EVD have been recorded in West Africa, similar as in Guinea, Liberia, Sierra Leone, and Nigeria, and a many sanitarium or secondary infections of EVD have passed in Spain and the United States of America. EVD is presently one of the world's most stressed conditions. In this literature review, we describe the epidemiology, clinical features, opinion, and treatment of EVD.


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Keywords: Ebola virus, Outbreak, Treatment, Hemorrhagic fever.

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  Paper Title: Virtual Teaching Board

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305100

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305100

  Register Paper ID - 235996

  Title: VIRTUAL TEACHING BOARD

  Author Name(s): Varsha Bandi, Baline Yugendhar, Daki AnilRaj, G.Shyama Chandra Prasad

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a758-a767

 Year: May 2023

 Downloads: 190

 Abstract

We currently have a variety of white board softwares available for online instruction. Every piece of software has benefits and drawbacks. The fact that many typical whiteboard software programmes require hardware pointing devices or a touch-sensitive screen for interaction, such as a stylus, digital pens, mice, etc., is one of their key drawbacks. Therefore, we are introducing Virtual Teaching Board, which is a hand movement based writing in the air software, to avoid the use of such pointing devices and to make online learning more interesting and effective. Instead than using external hardware devices like a mouse, stylus, digital pens, etc. to write on the whiteboard, it uses a variety of hand movements with the fingertips in the air. It offers users a lighthearted setting. The Virtual Board Module, Presentation Module, and Calculation Module are the three modules that make up this project. In the Virtual Board module, we give the user interface functionalities for selecting the type of board (Normal or Blackboard), choosing the colour of writing, using an eraser, switching between presentation and calculator modes, and more. Users can write on the screen using different colours by simply waving their fingertip in the air in the Virtual Board Module's writing mode and board type, and they can entirely erase the board by waving five fingers across it. And by choosing Presentation mode, the user enters the Presentation module, where they can give a presentation by advancing and reversing slides with simple hand motions. In this project, we employed the Open-cv, Mediapipe, NumPy, and Python programming languages. By including certain other features like Physical properties and Physical Stimulations to the objects created on the virtual board in Stage-2, this programme can be upgraded even further.


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Virtual Teaching Board , Presentation Mode , Calculator Mode ,Hand Gesture Recognition , Black Board

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  Paper Title: Quantitative Ethnobotanical study of wetland medicinal plants used by the Meitei community of Bishnupur District, Manipur

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305099

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305099

  Register Paper ID - 235994

  Title: QUANTITATIVE ETHNOBOTANICAL STUDY OF WETLAND MEDICINAL PLANTS USED BY THE MEITEI COMMUNITY OF BISHNUPUR DISTRICT, MANIPUR

  Author Name(s): Thokchom Sunita Devi, Maibam Haripiya Devi, Potsangbam Kumar Singh

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a743-a757

 Year: May 2023

 Downloads: 158

 Abstract

ABSTRACT BACKGROUND OF THE WORK: This paper represents the records of the quantitative data regarding the wetland medicinal plants used by the local Meitei community of Bishnupur district. Quantitative indices such as use value (UV), Informant consensus factor (FIC), and fidelity level (FL) were used to understand the preferences and consensus existing among the informants regarding the wetland medicinal plants used. MATERIALS AND METHODS: A total of 230 informants (135 males, 85 females) and 10 key informants who have traditional medicinal knowledge of the plants were selected for data analysis. Data collection and data analysis were done through frequent survey programs based on open-ended and semi-structured questionnaires. RESULTS: The study reveals that overall, 18 ailments categories were being treated with a total of 56 wetland medicinal plant species belonging to 50 genera that are distributed over 28 families. It was found that the Asteraceae family was the most dominant among all other families followed by Poaceae and Amaranthaceae. The informant consensus factor (Fic) for skeleton muscular system disorder (SMSD) was found to be the highest among all the ailment categories with a value of 0.86 followed by endocrinal disorder (ED) with a value of 0.82 and respiratory system disorder (RSD) with a value of 0.81. The Highest fidelity level was found in Helichrysum luteoalbum (L.) Rchb. with a value of 89 % which was included in the skeleton muscular disorder ailment category. Maximum FL determines high preference and potential of healing among the informant for treating a particular ailment. CONCLUSION: The wetland medicinal plants with the highest fidelity level (FL), use value (UV), and high informant consensus factor (FIC) from the present study indicate the possibilities of occurrence of the high rate of potential phytochemical compounds to carry out pharmacological and biochemical assay which could be led to the discovery of new drugs for the future.


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Wetland, Ethnobotanical, Quantitative, Informant consensus factor, Ailments

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  Paper Title: Driving Towards Financial Success: An Exhaustive Analysis of Tata Motors

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305098

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305098

  Register Paper ID - 235990

  Title: DRIVING TOWARDS FINANCIAL SUCCESS: AN EXHAUSTIVE ANALYSIS OF TATA MOTORS

  Author Name(s): Dr SIVAPRAKASH J S, SIDDHARTH IYER

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a734-a742

 Year: May 2023

 Downloads: 160

 Abstract

This is a financial analysis of Tata Motors, a leading automobile manufacturer in India, providing a comprehensive framework for evaluating the company's performance and financial health. With operations in South Korea, the United Kingdom, Thailand, Indonesia, and South Africa through a strong global network of 113 subsidiary and associate firms, Tata Motors, a $35 billion company and a subsidiary of the USD 113 billion Tata group, is a global leader in automotive manufacturing. The analysis includes a review of the company's income statement, balance sheet, and cash flow statement, as well as key financial ratios such as revenue growth, gross profit margin, operating profit margin, current ratio, debt-to-equity ratio, and return on equity. This overview highlights the importance of considering both quantitative and qualitative factors, such as industry trends and competition, when evaluating a company's financial performance. While specific financial data for Tata Motors is not provided, this analysis serves as a general guide for conducting a thorough financial analysis of a company. The findings of this report can be used to make informed investment decisions or to evaluate the financial health of Tata Motors as a potential business partner.


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Financial analysis; Income statement; Balance sheet; Financial ratios; Revenue growth; Current ratio; Return on equity; Industry trends.

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  Paper Title: An analysis of the role of Shadow Banking in India and the Challenges it confronts

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305097

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305097

  Register Paper ID - 235984

  Title: AN ANALYSIS OF THE ROLE OF SHADOW BANKING IN INDIA AND THE CHALLENGES IT CONFRONTS

  Author Name(s): Dr. Amit Kumar, Dr. Ramanjeet Singh, Pratibha Wasan

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a730-a733

 Year: May 2023

 Downloads: 163

 Abstract

Although shadow banks may be traced back to the 1970s, they have grown significantly in recent decades in emerging nations. Similar expansion in shadow banks has also been observed in India. The term shadow banking firstly coined by the Paul Mc. Culley in 2007. Shadow banking is occurred and exists in all economies. Shadow banking are worked as a financial intermediation which include all activities performed outside the regular banking system.The last two to three decades, the financial sector has witnessed a lot of changes and growing competition.Many shadow banking companies are the subsidiary company whose parent company is traditional bank. In the financial crises of 2008, shadow banks play important role in housing credit and their size is increased. This Paper's objectives are to investigate the Role and Challenges of shadow banking in India.


Licence: creative commons attribution 4.0

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 Keywords

Shadow banking, financial sector, Non-banking financial companies, and financial crises.

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Creative Commons Attribution 4.0 and The Open Definition

  Paper Title: Online Public Hate Speech Detection Using Machine Learning

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305096

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305096

  Register Paper ID - 235971

  Title: ONLINE PUBLIC HATE SPEECH DETECTION USING MACHINE LEARNING

  Author Name(s): Akshay Salunkhe, Prayag satpute, Aditya bhosale, Bhupendra gujar, Bhaven Doshi

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a723-a729

 Year: May 2023

 Downloads: 158

 Abstract

Globally, social media platforms have billions--not millions--of users. People's interactions on these widely accessible social media platforms, like Twitter, have a significant impact. There are undesired negative effects on modern life. One of the most extravagant social media platforms in our time, Twitter, is now used as a weapon to share unethical, excessive amounts of opinions and media. These widely used major communication platforms have evolved into a great source of disseminating unwanted data and irrelevant information. The suggested effort divides the nine sorts of insulting remarks and tweets directed at specific individuals. These types of tweets are further divided into non-shaming tweets towards persons. According to observation, the majority of people who write comments on a certain occasion and are interested in doing so are likely to change the person in question. Additionally, it is the Twitter shamer who checks the increase faster than the non-shaming devotee.


Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Tweet Classification, user behaviour, remove dishonouring, public dishonouring.

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Creative Commons Attribution 4.0 and The Open Definition

  Paper Title: Awareness of Teaching Strategies for Inclusive Schools - A Study

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305095

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305095

  Register Paper ID - 235956

  Title: AWARENESS OF TEACHING STRATEGIES FOR INCLUSIVE SCHOOLS - A STUDY

  Author Name(s): J.Aruna, Research Scholar, Prof. Satyaveer Yadav

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a707-a722

 Year: May 2023

 Downloads: 156

 Abstract

Inclusion is the hallmark of the 21st Century. Inclusive education explores evidence-based strategies to support diverse learners, including specific changes in curriculum, pedagogy and assessment practices. It addresses the needs of children with physical, sensory and intellectual disabilities, as well as those with complex learning problems. The chief purport of the current article is to delineate level of the awareness of teachers using various strategies for children under inclusion with special reference to gender, qualifications and management. A sample of 199 Regular Teachers as well as Resource Teachers were selected under Inclusive settings in Rangareddy and Hyderabad districts of the State of Telangana, employing simple random sampling technique. A self-developed tool which consists of 15 statements reflecting on peer-tutoring; Self-instruction; co-teaching and Direct instruction strategies was used to elicit the required information. No significant difference was found between awareness of teachers in using various strategies with special reference to their gender and management, while, a significant difference was indicated with reference to qualifications. Educational implications were drawn based on the findings and recommendations for further research was also depicted.


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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Index Terms - Awareness; Inclusive education; peer-tutoring; co-teaching; self-instruction; direct teaching

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Creative Commons Attribution 4.0 and The Open Definition

  Paper Title: Lung Cancer Prediction With CT Scan Images Using Machine Learning

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305094

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305094

  Register Paper ID - 235954

  Title: LUNG CANCER PREDICTION WITH CT SCAN IMAGES USING MACHINE LEARNING

  Author Name(s): Mr. Siju V Soman, Akanksha, Akanksha U Saadhana, Arva Fathima, Nazila Hamad Bhava

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a702-a706

 Year: May 2023

 Downloads: 116

 Abstract

Lung cancer is a serious disease that can be life-threatening if not diagnosed and treated in time. Early detection is crucial for improving patient survival rates. To achieve this, researchers are using advanced technologies such as image processing and machine learning to analyze medical images for the early detection and treatment of lung cancer. In this study, the researchers propose an automated approach that uses computed tomography (CT) images to identify lung cancer in its early stages. The main objective is to achieve high accuracy in lung cancer diagnosis. The proposed framework involves several steps, including image enhancement, filtering, segmentation, feature extraction, and support vector machine. The experiment results show the accuracy performance of the proposed method, indicating its potential to improve lung cancer diagnosis and treatment.


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 Keywords

Lung Cancer, CT scan, Machine Learning, Convolution Neural Network, Image processing.

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Creative Commons Attribution 4.0 and The Open Definition

  Paper Title: SMART SURVELLIANCE SYSTEM USING MACHINE LEARNING

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2305093

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2305093

  Register Paper ID - 235937

  Title: SMART SURVELLIANCE SYSTEM USING MACHINE LEARNING

  Author Name(s): Sharon C D'souza, Sandeep Benny, Shaham Abdulla C P, Sahad Abdulla C P, Albin John

 Publisher Journal name: IJCRT

 Volume: 11

 Issue: 5

 Pages: a694-a701

 Year: May 2023

 Downloads: 152

 Abstract

: In the modern world, welfare, and security are important considerations. Whether at home or at business, people hire security systems to secure their belongings. In a typical surveillance setup, anything that occurs is recorded while people just wait for something to happen. The recommended system is a Python GUI application developed with the most recent programming language and the quickly growing discipline of computer science known as "computer vision," which translates to "this allows the computer to observe" or "gives the computer the capacity to see." In our study, we are largely emphasizing the components of smart surveillance that are monitored--at least for the time being. The goal of gaining a deeper knowledge of computer vision systems is currently outside the scope of the high-tech expansion of computer vision. video recording, features, facial recognition, noise detection, in-room visitor detection, and noise reduction.


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 Keywords

Computer Vision, Object Detection, Real-Time Alerts, Face Identification.

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Creative Commons Attribution 4.0 and The Open Definition



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About IJCRT

The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.


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International Journal of Creative Research Thoughts (IJCRT)
ISSN: 2320-2882 | Impact Factor: 7.97 | 7.97 impact factor and ISSN Approved.
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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