ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: STOCK MARKETING PREDICTION USING DEEP LEARNING
Author Name(s): B.Priya, Shalini.L, Rohini.S, Shwetha.PT
Published Paper ID: - IJCRTS020008
Register Paper ID - 223519
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTS020008 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTS020008 Published Paper PDF: download.php?file=IJCRTS020008 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTS020008.pdf
Title: STOCK MARKETING PREDICTION USING DEEP LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: 56-66
Year: June 2022
Downloads: 268
E-ISSN Number: 2320-2882
The purpose of our proposed system is to predict the stock market from previous years stock data. Increase in uncertainty in stock market gives us the motive for our proposed system to make it easy and available for common people to know and avoid losses using other technologies available today. The approach consists of the following steps - Data pre-processing, clustering, classification and visualization. Classification and correlation of data set makes it easy to understand similarities & dissimilarities amongst the data objects. In our proposed system data collection was done from yfinance. The significance of our proposed system is to give the commoner an insight in stock market pattern and awareness to avoid losses in prior. Stock prices cannot be predicted exactly since it is neither systematic nor random. Even though we cannot predict exact price changes due to uncertainty but can predict the price patterns. The predicted results cannot be 100% accurate but the results show that our application helps in reducing occurrence of losses to a certain extent by providing idea about stock market price pattern. We are collecting stock data from source yfinance. This huge data is used as a record for creating a yfinance stock market analysis. So, the main challenge in front of us is developing a better, efficient stock market pattern detection tool to identify stock patterns effectively and give any suggestion to the viewer on how to proceed further
Licence: creative commons attribution 4.0
STOCK MARKETING PREDICTION USING DEEP LEARNING
Paper Title: LANE LINE DETECTION WITH COMPUTER VISION USING ARTIFICIAL INTELLIGENCE
Author Name(s): Julia Faith.S, Liyakath Ali B, Manzoor.N, Nandhakumar.N
Published Paper ID: - IJCRTS020007
Register Paper ID - 223521
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTS020007 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTS020007 Published Paper PDF: download.php?file=IJCRTS020007 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTS020007.pdf
Title: LANE LINE DETECTION WITH COMPUTER VISION USING ARTIFICIAL INTELLIGENCE
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: 52-55
Year: June 2022
Downloads: 260
E-ISSN Number: 2320-2882
Lane detection plays an important role in intelligent vehicle systems. Therefore, this paper presents a robust road lane marker detection algorithm to detect the left and right lane markers. The algorithm consists of optimization of Canny edge detection and Hough Transform. The system captures images from a front viewing vision sensor placed facing the road behind the windscreen as input. Then a series of image processing is applied to generate the road model. Canny edge detection performs features recognition then followed by Hough Transform lane generation. The algorithm detects visible left and right lane markers on the road based on real-time video processing.
Licence: creative commons attribution 4.0
LANE LINE DETECTION WITH COMPUTER VISION USING ARTIFICIAL INTELLIGENCE
Paper Title: PREDICTION OF CYBER ATTACKS USING MACHINE LEARNING TECHNIQUE
Author Name(s): Mr.S.S.Vasantha Raja, Aakash B, Avinash M, Gokul S
Published Paper ID: - IJCRTS020006
Register Paper ID - 223522
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTS020006 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTS020006 Published Paper PDF: download.php?file=IJCRTS020006 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTS020006.pdf
Title: PREDICTION OF CYBER ATTACKS USING MACHINE LEARNING TECHNIQUE
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: 40-51
Year: June 2022
Downloads: 378
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
PREDICTION OF CYBER ATTACKS USING MACHINE LEARNING TECHNIQUE
Paper Title: PERSONALIZED RECOMMENDATION OF TOPIC BY INFLUENCE ANALYSIS USING SUPPORT VECTOR MACHINE ALGORITHM
Author Name(s): P.Neelaveni, Chathurya.S, Poojashree.V, Rubavathi.B, Nivetha.M
Published Paper ID: - IJCRTS020005
Register Paper ID - 223523
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTS020005 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTS020005 Published Paper PDF: download.php?file=IJCRTS020005 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTS020005.pdf
Title: PERSONALIZED RECOMMENDATION OF TOPIC BY INFLUENCE ANALYSIS USING SUPPORT VECTOR MACHINE ALGORITHM
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: 30-39
Year: June 2022
Downloads: 226
E-ISSN Number: 2320-2882
To design a recommendation system for the users to recommend the best topics among the users and to develop a system that promotes the interest of the user by recommending them with customized topics. LDA model is used for extracting all the topics of the user. Popular topics are then analysed and extracted. Influence analysis is carried out to find the influenced topics for the users and the topics are classified to positive and negative topics.Those topics are then ranked using SVM algorithm. Finally recommendation of topics are given to the users.
Licence: creative commons attribution 4.0
PERSONALIZED RECOMMENDATION OF TOPIC BY INFLUENCE ANALYSIS USING SUPPORT VECTOR MACHINE ALGORITHM
Paper Title: FOG DRIVE DISASTER BACKUP AS A SERVICE FOR CLOUD SERVER USING IOT AND FOG COMPUTING
Author Name(s): P.Neelaveni, Thenmozhi.V, Sophia David, Malathi. A
Published Paper ID: - IJCRTS020004
Register Paper ID - 223524
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTS020004 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTS020004 Published Paper PDF: download.php?file=IJCRTS020004 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTS020004.pdf
Title: FOG DRIVE DISASTER BACKUP AS A SERVICE FOR CLOUD SERVER USING IOT AND FOG COMPUTING
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: 25-29
Year: June 2022
Downloads: 255
E-ISSN Number: 2320-2882
Cloud data loss or disruption can occur because of a natural disaster, human error, malicious activity, or other causes. It can damage your reputation, cause client attrition, and lead to unnecessary delays and expenses. Still, most backup systems have been designed and optimized for outdated environments and use cases. That fact, generates frustration over currently backup challenges and leads to a greater willingness to modernize and to consider new technologies. This proposed system set up a flexible data backup operation, using Disaster Backup as a Service (BaaS) solutions, mixing them up with FogDrive local storage system.
Licence: creative commons attribution 4.0
FOG DRIVE DISASTER BACKUP AS A SERVICE FOR CLOUD SERVER USING IOT AND FOG COMPUTING
Paper Title: STOCK MARKET PRICE PREDICTION USING RANDOM FOREST AND SUPPORT VECTOR MACHINE
Author Name(s): R S Abirami, K.Varalakshmi, Maddika Jaswanth Reddy, Kota Venkata Madhava Reddy, Chittipi Reddy Akash
Published Paper ID: - IJCRTS020003
Register Paper ID - 223525
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTS020003 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTS020003 Published Paper PDF: download.php?file=IJCRTS020003 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTS020003.pdf
Title: STOCK MARKET PRICE PREDICTION USING RANDOM FOREST AND SUPPORT VECTOR MACHINE
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: 18-24
Year: June 2022
Downloads: 296
E-ISSN Number: 2320-2882
In the past decades, there is an increasing interest in predicting markets among economists, policymakers, academics and market makers. The objective of the proposed work is to study and improve the supervised learning algorithms to predict the stock price.Stock Market Analysis of stocks using data mining will be useful for new investors to invest in stock market based on the various factors considered by the software. Stock market includes daily activities like Sensex calculation, exchange of shares. The exchange provides an efficient and transparent market for trading in equity, debt instruments and derivatives. Our aim is to create software that analyses previous stock data of certain companies, with help of certain parameters that affect stock value. We are going to implement these values in data mining algorithms and we will be able to decide which algorithm gives the best result. This will also help us to determine the values that particular stock will have in near future. We will determine the patterns in data with help of machine learning algorithms.
Licence: creative commons attribution 4.0
STOCK MARKET PRICE PREDICTION USING RANDOM FOREST AND SUPPORT VECTOR MACHINE
Paper Title: ON-DEMAND SERVICE SYSTEM USING SOA
Author Name(s): P.Neelaveni, Tarun.S, Santhosh.M, Vignesh.R
Published Paper ID: - IJCRTS020002
Register Paper ID - 223526
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTS020002 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTS020002 Published Paper PDF: download.php?file=IJCRTS020002 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTS020002.pdf
Title: ON-DEMAND SERVICE SYSTEM USING SOA
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: 11-17
Year: June 2022
Downloads: 304
E-ISSN Number: 2320-2882
The on-demand service system is built based on service-oriented architecture that is going to be a business model through which Normal people can connect with the domestic workers and provide features. Providing services to the people who are in seek for service. Providing jobs to the domestic workers. Allows the administrator to control the entire system with a web enabled back-end user interface. The System consist of two interfaces for the user the web enabled application and an android application for variable access. The On-demand is a system that connects the service providers and people who seek for service. It is based on SOA architecture and also have an advantage of location-based service. Implementation this application, there is no need of much expensive hardware and software, internet connection and a desktop with basic operating system and a browser will be sufficient. The entire system is built for an organization known as passhouse. This system was built in an intention to showcase the efficient utilization of the services which will be very useful for the developers to save time in doing CRUD operations in common language. This can be easily achieved by modifying the data model as per the requirements.
Licence: creative commons attribution 4.0
ON-DEMAND SERVICE SYSTEM USING SOA
Paper Title: IMPROVING ACCESSING EFFICIENCY OF CLOUD STORAGE USING DEDUPLICATION SCHEMES
Author Name(s): Sonia.P, Sowmiya.J, Swetha.G, Valluru Deekshitha, P.Neelaveni
Published Paper ID: - IJCRTS020001
Register Paper ID - 223528
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTS020001 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTS020001 Published Paper PDF: download.php?file=IJCRTS020001 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTS020001.pdf
Title: IMPROVING ACCESSING EFFICIENCY OF CLOUD STORAGE USING DEDUPLICATION SCHEMES
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: 1-10
Year: June 2022
Downloads: 250
E-ISSN Number: 2320-2882
Data de duplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality of sensitive data while supporting de duplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing. To better protect data security, this proposed system makes the first attempt to formally address the problem of authorized data de duplication. Different from traditional de duplication systems, the differential privileges of users are further considered induplicate check besides the data itself. We also present several new de duplication constructions supporting authorized duplicate check in hybrid cloud architecture. Security analysis demonstrates that our scheme is secure in terms of the definitions specified in the proposed security model. As a proof of concept, the proposed work implements a prototype of our proposed authorized duplicate check scheme and conduct test bed experiments using our prototype. The proposed work shows that our proposed authorized duplicate check scheme incurs minimal overhead compared to normal operations.
Licence: creative commons attribution 4.0
IMPROVING ACCESSING EFFICIENCY OF CLOUD STORAGE USING DEDUPLICATION SCHEMES
Paper Title: Systematic Analysis on Utilization of Ayushman Bharat Scheme: A Study with Reference to Communities of Mysore District
Author Name(s): Dr. K. Nagendra Babu, Manju S
Published Paper ID: - IJCRT22A6975
Register Paper ID - 265343
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6975 and DOI :
Author Country : Indian Author, India, 570022 , Mysore, 570022 , | Research Area: Commerce All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6975 Published Paper PDF: download.php?file=IJCRT22A6975 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6975.pdf
Title: SYSTEMATIC ANALYSIS ON UTILIZATION OF AYUSHMAN BHARAT SCHEME: A STUDY WITH REFERENCE TO COMMUNITIES OF MYSORE DISTRICT
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Commerce All
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: h834-h842
Year: June 2022
Downloads: 18
E-ISSN Number: 2320-2882
The healthcare infrastructure of the developed economies has not been able to deliver services to their citizens. The World Health Organization defines universal health coverage (UHC) as means to enable all people and communities to use primitive, preventive, curative, rehabilitative, and palliative health services they need, of sufficient quality to be effective. Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) is India's Government-funded health insurance scheme that covers more than 10.74 crore poor and vulnerable families. Karnataka has been at the forefront of successfully implementing this health care schemes through Suvarna Arogya Suraksha Trust on an Assurance Mode, for the benefit of a large section of BPL and APL families. Hence this systematic analysis on utilization of the Ayushman Bharat-Scheme will be helpful to understand the efficiency of the scheme in Mysore District. This study is carried out with the primary objective to analyze the utilization of Ayushman Bharat-Scheme in Mysore District and examine the various benefits available through the scheme with the help of primary data gathered from 120 users of the scheme selected as respondents through the structured questionnaire by following the convenient sampling technique and the research design being conclusive and quantitative. Finally it was observed that, the components of Ayushman Bharat scheme such as treatment package, coverage amount, diagnostics covered, post-discharge benefits, treatment without e-card, separate card for each family member, emergency treatment, usage of scheme in other state, no requirement of renewal of the card and there is no requirement for pre checkup to utilize the scheme are utilized by the card holders in Mysore district which describes the positive relation in utilization of the scheme.
Licence: creative commons attribution 4.0
Key Words: Ayushman Bharat Schemes, Health Insurance, BPL and APL families, Universal Health Coverage,
Paper Title: Promoting Educational Opportunities by addressing educational inequalities among the Tribal Children in the Palamu Region of Jharkhand
Author Name(s): Shakila Meera Ferrao
Published Paper ID: - IJCRT22A6974
Register Paper ID - 263787
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6974 and DOI :
Author Country : Indian Author, India, 834001 , RANCHI, 834001 , | Research Area: Medical Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6974 Published Paper PDF: download.php?file=IJCRT22A6974 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6974.pdf
Title: PROMOTING EDUCATIONAL OPPORTUNITIES BY ADDRESSING EDUCATIONAL INEQUALITIES AMONG THE TRIBAL CHILDREN IN THE PALAMU REGION OF JHARKHAND
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Medical Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: h829-h833
Year: June 2022
Downloads: 19
E-ISSN Number: 2320-2882
This study focuses on the impact of private schools in improving educational opportunities for tribal children in the Palamu region of Jharkhand, India. The research highlights the key role played by specific private schools in increasing enrollment and reducing dropout rates among Scheduled Tribe students. These schools, such as St. Joseph School, St Teresa School and St. Xavier School, Mahuadanr of Palamu division have significantly improved access to quality education for tribal communities, contributing to their socio-economic advancement. The study recommends concerted efforts to address educational disparities faced by Scheduled Caste, Scheduled Tribe, and tribal children, emphasizing the need for tailored interventions to support educational equity in rural India. Overall, the research provides insights into effective strategies for promoting educational equity and empowering tribal communities in the Palamu region.
Licence: creative commons attribution 4.0
quality, educational opportunity, private schools, enrolment, drop-out