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Volume 12 | Issue 1 |

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  Paper Title: Water Quality Assessment of Tumaria Reservoir (Udham Singh Nagar)

  Author Name(s): Sana

  Published Paper ID: - IJCRT2401014

  Register Paper ID - 248403

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2401014 and DOI : http://doi.one/10.1729/Journal.37750

  Author Country : Indian Author, India, 244715 , Ramnagar, 244715 , | Research Area: Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401014
Published Paper PDF: download.php?file=IJCRT2401014
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401014.pdf

  Your Paper Publication Details:

  Title: WATER QUALITY ASSESSMENT OF TUMARIA RESERVOIR (UDHAM SINGH NAGAR)

 DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.37750

 Pubished in Volume: 12  | Issue: 1  | Year: January 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 1

 Pages: a92-a98

 Year: January 2024

 Downloads: 103

  E-ISSN Number: 2320-2882

 Abstract

Abstract -Present study was carried out to examine the water quality assessment to Tumaria reservoir the observation of physico-chemical parameter of water such as water, temperature, transparency, TDS, PH, DO, alkalinity, chloride, turbidity, velocity. We are determine during study period in order to create the geographic thematic map on, annual variation of physical -chemical parameters. Physico-chemical study on this research paper has help in analyzing the water quality of reservoir in protecting manner to maintain the ecological balance.


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 Keywords

Tumaria reservoir, Physical -chemical parameters, Water quality

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  Paper Title: Artificial Intelligence with Law in India

  Author Name(s): Antara Roy

  Published Paper ID: - IJCRT2401013

  Register Paper ID - 248850

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2401013 and DOI :

  Author Country : Indian Author, India, 713301 , Asansol, 713301 , | Research Area: Other area not in list

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401013
Published Paper PDF: download.php?file=IJCRT2401013
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401013.pdf

  Your Paper Publication Details:

  Title: ARTIFICIAL INTELLIGENCE WITH LAW IN INDIA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 1  | Year: January 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Other area not in list

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 1

 Pages: a80-a91

 Year: January 2024

 Downloads: 103

  E-ISSN Number: 2320-2882

 Abstract

As far as we are aware, Homo sapiens is the most sentient species on Earth. On the other hand, technology is developing quickly, and it is undeniable that machine learning is now replacing human skills. Arthur McCarthy first used the term artificial intelligence in 1956. The ability of a digital computer or computer-controlled robot to carry out actions typically associated with intelligent beings is known as artificial intelligence (AI). AI has a wide range of applications in the legal field. Technology in the legal field has advanced because of globalization. Artificial Intelligence (AI) is being utilized in courts in nations like the United States and the United Kingdom, where technological advancement has reached incredible heights. The technology is being advanced to assist judges in making decisions. Artificial intelligence is intangible and concentrates on tasks with the help of intelligence techniques such as: But artificial intelligence has the potential to transform everyone's daily life drastically. Whether this is a good or bad thing, we must adhere to the right framework to guarantee that AI has a positive impact.


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 Keywords

Artificial Intelligence (AI), "Intelligence," technology, lawyer, AI Used in Policing

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  Paper Title: Credit Card Fraud Detection using Machine LearningA Review.

  Author Name(s): Esha Santosh Mohite, Monica Dashrath Bhumarkar

  Published Paper ID: - IJCRT2401012

  Register Paper ID - 248833

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2401012 and DOI :

  Author Country : Indian Author, India, 400065 , Mumbai, 400065 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401012
Published Paper PDF: download.php?file=IJCRT2401012
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401012.pdf

  Your Paper Publication Details:

  Title: CREDIT CARD FRAUD DETECTION USING MACHINE LEARNINGA REVIEW.

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 1  | Year: January 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 1

 Pages: a73-a79

 Year: January 2024

 Downloads: 110

  E-ISSN Number: 2320-2882

 Abstract

Nowadays, the usage of credit cards has dramatically increased. As credit cards become the most popular mode of payment for both online and regular purchases, cases of fraud associated with them are also rising. Criminals use fake identification and numerous technologies to attract customers and get cash out of them. Due to the increase in fraud, various techniques and methodologies have been developed for detecting it. In this paper, we discuss the different ways credit card frauds are committed and which machine learning algorithms are used by investigators to detect fraud


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 Keywords

Machine Learning, credit card, fraud detection, SVM, Decision Tree, Logistic regression

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  Paper Title: Multimodal Fusion for Depression Detection: A Deep Learning Approach

  Author Name(s): Ms. Anshu, Ms. Monika Sharma

  Published Paper ID: - IJCRT2401011

  Register Paper ID - 248689

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2401011 and DOI :

  Author Country : Indian Author, India, 127021 , BHIWANI, 127021 , | Research Area: Others area

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401011
Published Paper PDF: download.php?file=IJCRT2401011
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401011.pdf

  Your Paper Publication Details:

  Title: MULTIMODAL FUSION FOR DEPRESSION DETECTION: A DEEP LEARNING APPROACH

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 1  | Year: January 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Others area

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 1

 Pages: a67-a72

 Year: January 2024

 Downloads: 68

  E-ISSN Number: 2320-2882

 Abstract

Depression, a primary contributor to the global burden of disease, requires timely identification and intervention to improve outcomes. We propose a multi-modal fusion framework composed of deep convolutional neural network (DCNN) and deep neural network (DNN) models. Our framework considers audio, video and text streams [1]. This study utilizes multimodal fusion, combining text, audio, and visual data, to enhance the detection of depression. Early intervention is crucial in order to prevent long-term consequences, improve treatment response, maintain functionality, reduce the risk of recurrence, prevent symptom escalation, promote physical well-being, and encourage healthy coping mechanisms. Multimodal fusion enables a comprehensive assessment, enhancing accuracy and facilitating the early detection of subtle symptoms. The objective of this research is to create diverse datasets, extract features, develop deep learning models, and evaluate performance, with a focus on contextual understanding. The methodology emphasizes the importance of high-quality and diverse datasets, and various multimodal fusion techniques have shown promising results, achieving high levels of accuracy, sensitivity, specificity, and precision. This research significantly contributes to the advancement of depression detection methodologies, providing a comprehensive solution for this complex mental health disorder.


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 Keywords

Depression, Multimodal fusion, Depression Detection

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  Paper Title: AI in Healthcare: Current Perspectives, Challenges and Examples

  Author Name(s): Jayalaxmi Dash, Sashikanta Prusty

  Published Paper ID: - IJCRT2401010

  Register Paper ID - 248878

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2401010 and DOI :

  Author Country : Indian Author, India, 751030 , BHUBANESWAR, 751030 , | Research Area: Health Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401010
Published Paper PDF: download.php?file=IJCRT2401010
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401010.pdf

  Your Paper Publication Details:

  Title: AI IN HEALTHCARE: CURRENT PERSPECTIVES, CHALLENGES AND EXAMPLES

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 1  | Year: January 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Health Science All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 1

 Pages: a62-a66

 Year: January 2024

 Downloads: 85

  E-ISSN Number: 2320-2882

 Abstract

In recent years, there has been a lot of interest in study on the growing use of artificial intelligence (AI) in health and medicine. Through the analysis of a patient's medical images and symptoms, AI gives intelligent computer-aided solutions that lead to effective treatment plans and the prediction of future outbreaks. Furthermore, the paucity of studies on the use of AI to certain high-burden diseases points to potential future paths for the field. The purpose of this study is to present real-time examples and issues related to AI in the healthcare sector.


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 Keywords

AI, Challenges, Healthcare, Real-world Scenarios

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  Paper Title: RHINO-OCCULO-CEREBRAL MUCORMYCOSIS IN PATIENTS WITH TYPE 2 DIABETES MELLITUS

  Author Name(s): DEVIKA ANIL KUMAR, MANIMEKALAI.P, KARKITHIKEYA .T.M, SAKETH.R, B V PURNESH

  Published Paper ID: - IJCRT2401009

  Register Paper ID - 247365

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2401009 and DOI :

  Author Country : Indian Author, India, 600044 , Chennai, Chromepet, 600044 , | Research Area: Humanities All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401009
Published Paper PDF: download.php?file=IJCRT2401009
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401009.pdf

  Your Paper Publication Details:

  Title: RHINO-OCCULO-CEREBRAL MUCORMYCOSIS IN PATIENTS WITH TYPE 2 DIABETES MELLITUS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 1  | Year: January 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Humanities All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 1

 Pages: a60-a61

 Year: January 2024

 Downloads: 65

  E-ISSN Number: 2320-2882

 Abstract

An interesting case of rhino-occulo-cerebral mucormycosis [ROCM] in patients suffering from type 2 diabetes mellitus is described in this article. The clinical presentation is given in details. The need for high degree of suspicion, prompt diagnosis and complete surgical evacuation of inflammatory mass; and prompt initiation of antifungal therapy is discussed. The side effects associated with amphoterecin and issue regarding its total dosage is discussed


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 Keywords

Rhino-occulo-cerebral mucormycosis, Type 2 Diabetes Mellitus

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  Paper Title: ACCESSING THE NUTRITIONAL STATUS AMONG SCHOOL CHILDREN

  Author Name(s): Archana Kasaudhan

  Published Paper ID: - IJCRT2401008

  Register Paper ID - 248767

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2401008 and DOI :

  Author Country : Indian Author, India, 228001 , Sultanpur, 228001 , | Research Area: Arts All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401008
Published Paper PDF: download.php?file=IJCRT2401008
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401008.pdf

  Your Paper Publication Details:

  Title: ACCESSING THE NUTRITIONAL STATUS AMONG SCHOOL CHILDREN

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 1  | Year: January 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Arts All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 1

 Pages: a55-a59

 Year: January 2024

 Downloads: 77

  E-ISSN Number: 2320-2882

 Abstract

A healthy diet implies a stronger immune system, less disease, greater health, and a more productive society. Most school-age children in India are malnourished, mostly undernourished. The purpose of this review was to determine the prevalence of wasting, stunting, overweight, and obesity. The foundation for good health and a healthy mind is built throughout the school years. As a result, it is a fundamental milestone in a person's existence and is responsible for many of the changes that occur later in life. High levels of dietary deficiency and serious disease at an early age have harmful effects that manifest into adulthood. As a result, school age is nutritionally important, and children are considered a specific risk group.


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 Keywords

School-going children, HAZ and BAZ, Nutritional status, Nutrients, Stunted.

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  Paper Title: A case study on Green Packaging Practices between Two leading e-commerce platform of India

  Author Name(s): Bipasha Mridha Ghosh

  Published Paper ID: - IJCRT2401007

  Register Paper ID - 247767

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2401007 and DOI :

  Author Country : Indian Author, India, 713212 , DURGAPUR, 713212 , | Research Area: Social Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401007
Published Paper PDF: download.php?file=IJCRT2401007
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401007.pdf

  Your Paper Publication Details:

  Title: A CASE STUDY ON GREEN PACKAGING PRACTICES BETWEEN TWO LEADING E-COMMERCE PLATFORM OF INDIA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 1  | Year: January 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Social Science All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 1

 Pages: a45-a54

 Year: January 2024

 Downloads: 101

  E-ISSN Number: 2320-2882

 Abstract

Every day's hurry and work from home culture during and post COVID period has created a tendency of on line shopping. In addition, the e-commerce platforms are also promoting buying attitude among customer by offering various lucrative offer. This changing attitude of consumer from physical to virtual market, undoubtedly has enhanced profitability to online platform and cozyness in modern life. On the other hand, as products are being supplied from every nook and corners of the world, increasing load of packaging material or solid waste. In this article, packaging practices of two leading e-commerce platforms were studied and pointed out their changed behaviour towards sustainable packaging. The study found that among two e- commerce platform "Amazon" has taken few initiatives but exactly same may not be adopted by another platform "flipkart". However, this research concluded that there is a paradigm shift in the packaging material and sustainable approach in the e-commerce platforms as they have adopted a proactive strategy in terms of packaging strategies rather than reactive.


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Green Packaging, E-commerce, Sustainable development

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  Paper Title: Quantum Mastery: Revolutionizing Speed And Insight In The Digital Era

  Author Name(s): Dr.Anandhi, Ms.S.Afshan, Ms.A.Almas

  Published Paper ID: - IJCRT2401006

  Register Paper ID - 248868

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2401006 and DOI :

  Author Country : Indian Author, India, 605502 , Pondicherry, 605502 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401006
Published Paper PDF: download.php?file=IJCRT2401006
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401006.pdf

  Your Paper Publication Details:

  Title: QUANTUM MASTERY: REVOLUTIONIZING SPEED AND INSIGHT IN THE DIGITAL ERA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 1  | Year: January 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 1

 Pages: a40-a44

 Year: January 2024

 Downloads: 90

  E-ISSN Number: 2320-2882

 Abstract

Quantum computing, with its ability to process information using quantum bits (qubits) and harness the principles of quantum mechanics, promises to revolutionize various fields. This abstract explores the usage and applications of quantum computing. Notably, in the domain of cryptography, quantum computers pose a challenge to existing encryption methods, necessitating the development of post-quantum cryptography. Quantum computing also excels in optimization tasks, impacting logistics, finance, and supply chain management. Scientific research benefits from quantum computing, with applications in drug discovery and materials science through rapid simulations of complex molecular interactions. Moreover, quantum computing holds the potential to enhance artificial intelligence and machine learning, offering faster data analysis and improved pattern recognition. While still in its infancy, quantum computing shows great promise in solving intricate problems in cryptography, logistics, science, and technology, heralding a transformative era in computation.


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Quantum Computing,Qubits, Cryptography.

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  Paper Title: A review on Impact of AI on Social Media

  Author Name(s): Trupti Bansode, Pooja Kannaujiya

  Published Paper ID: - IJCRT2401005

  Register Paper ID - 248786

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2401005 and DOI :

  Author Country : Indian Author, India, 400084 , mumbai, 400084 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401005
Published Paper PDF: download.php?file=IJCRT2401005
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401005.pdf

  Your Paper Publication Details:

  Title: A REVIEW ON IMPACT OF AI ON SOCIAL MEDIA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 1  | Year: January 2024

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 1

 Pages: a34-a39

 Year: January 2024

 Downloads: 156

  E-ISSN Number: 2320-2882

 Abstract

Generally, Today's generation is examined as an age of science, technology, commercial, intelligence, robotics, education and economy which is used in dayto-day life of a human. Many people around the world uses social media in their life to share post, message, information and to make new connections. Basically, social media allows users to communicate with their friends, family, colleagues and to explore new things. Social media provide opportunities for their users as well as organizations to get the large amount of people by understanding the concept of consumer and knowing his/her feelings via feedback towards various brands and products. Also, these organizations as well as people needs to maintain a secure platform to protect their data which will only be achieved by using applications and techniques of artificial intelligence. This research paper aims to examine and discuss the impact of using artificial intelligence applications with their various technologies on social media through the method of critical analysis and estimation that was applied to previous recent studies that assigned with the impact of artificial intelligence on social media. So, the objective of this paper is to discuss how social media is impacted by artificial intelligence in development purposes. This paper based on the relation between AI and Social media and their development, that how to improve their productivity for efficient usage by implementing various technology related to AI and social media.


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 Keywords

artificial intelligence, social media

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