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Volume 10 | Issue 11 | November 2022

Volume 10 | Issue 11 | Month November 2022  
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  Paper Title: A STUDY OF HUMAN RIGHTS EXISTENCE IN ANCIENT INDIA

  Author Name(s): Dr.Yashpal Singh

  Published Paper ID: - IJCRT2211599

  Register Paper ID - 230291

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2211599 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2211599
Published Paper PDF: download.php?file=IJCRT2211599
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2211599.pdf

  Your Paper Publication Details:

  Title: A STUDY OF HUMAN RIGHTS EXISTENCE IN ANCIENT INDIA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 11  | Year: November 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 11

 Pages: f1-f7

 Year: November 2022

 Downloads: 5

  E-ISSN Number: 2320-2882

 Abstract

In the present paper we study that in addition to being in complete agreement with the Universal Declaration of Human Rights of the United Nations, ancient India's human rights also serve as a model for contemporary thought in the region. "Nobody is superior or inferior," states the Rig Veda. All of them are brothers. Working together for the common good and progress should be the goal of everyone. According to Article 15, everyone is entitled to a nationality. According to Article 16, the family is entitled to protection from society and the state because it is the natural and fundamental group unit of society. No one shall be denied the right to alter or lose their nationality at random. In ancient India, the individual also existed as a state citizen with rights and responsibilities. The Vedas proclaim freedom of body (Tan), dwelling house (Skridhi), and life (Jibase), which was the ideal of ancient Indian legal theory. Human rights were thought of and practiced in ancient India, according to the study above. Inscriptions, coins, and contemporary art and architecture all show how human rights have been implicitly expressed in the Bible. The Dharmastras and Grihastra, which define one's relationship with others, society, and the state, and vice versa, outline the Hindu way of life. In addition, they establish certain standards, obligations, and rights. The sixteen samskaras, which contain every contradiction and aberration, govern every Indian's life from birth to death. For instance, the marriage samskara establishes a couple's relationship and defines their rights and responsibilities toward one another and society as a whole. The forfeiture of Istrdhana's marriage-related propriety rights has been accepted by Kautilya, Manu, and others.


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 Keywords

Human Rights, Contemporary, Rig Veda, Progress, Dwelling, Inscriptions

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  Paper Title: A CHRONICLE OF THE PEACOCKS AN ALLEGORY AGAINST WAR

  Author Name(s): Dr. Shivani Sharma

  Published Paper ID: - IJCRT2211598

  Register Paper ID - 230056

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2211598 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2211598
Published Paper PDF: download.php?file=IJCRT2211598
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2211598.pdf

  Your Paper Publication Details:

  Title: A CHRONICLE OF THE PEACOCKS AN ALLEGORY AGAINST WAR

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 11  | Year: November 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 11

 Pages: e992-e996

 Year: November 2022

 Downloads: 5

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Parable, Allegory, Nuclear Explosion, Brahmastra, Chronicle, Peacocks.

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  Paper Title: A STUDY ON THE PRE-& POST LIBERALIZATIONS OF INDIAN ECONOMY AND ITS IMPACT ON THE FOREIGN TRADE

  Author Name(s): Niraj Kumar, Dr. Himanshu Shekhar

  Published Paper ID: - IJCRT2211597

  Register Paper ID - 229841

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2211597 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2211597
Published Paper PDF: download.php?file=IJCRT2211597
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2211597.pdf

  Your Paper Publication Details:

  Title: A STUDY ON THE PRE-& POST LIBERALIZATIONS OF INDIAN ECONOMY AND ITS IMPACT ON THE FOREIGN TRADE

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 11  | Year: November 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 11

 Pages: e985-e991

 Year: November 2022

 Downloads: 9

  E-ISSN Number: 2320-2882

 Abstract


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  Paper Title: Aalochkon ke drishti mein Kamayani ke stree patra: ek samiksha

  Author Name(s): Ritu Kumari

  Published Paper ID: - IJCRT2211596

  Register Paper ID - 229002

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2211596 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2211596
Published Paper PDF: download.php?file=IJCRT2211596
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2211596.pdf

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  Title: AALOCHKON KE DRISHTI MEIN KAMAYANI KE STREE PATRA: EK SAMIKSHA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 11  | Year: November 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 11

 Pages: e978-e984

 Year: November 2022

 Downloads: 27

  E-ISSN Number: 2320-2882

 Abstract

Aalochako ki drushti me kamayani ke stree patra-ek samshya


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Aalochako ki drushti me kamayani ke stree patra-ek samshya

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  Paper Title: DRUG RECOMMENDATION SYSTEM ON IMBALANCED MEDICAL DATA USING SMOTE

  Author Name(s): YELIKE SAI VENKATA VAMSI KRISHNA

  Published Paper ID: - IJCRT2211595

  Register Paper ID - 228484

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2211595 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2211595
Published Paper PDF: download.php?file=IJCRT2211595
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2211595.pdf

  Your Paper Publication Details:

  Title: DRUG RECOMMENDATION SYSTEM ON IMBALANCED MEDICAL DATA USING SMOTE

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 11  | Year: November 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 11

 Pages: e968-e977

 Year: November 2022

 Downloads: 39

  E-ISSN Number: 2320-2882

 Abstract

Nowadays there is a lot of imbalanced data present on the web in several areas like medical, business, insurance, banks, research centers, and so on. All these imbalanced data are creating a lot of gaps for the researchers to gain any new information based on the primitive data. Since the corona virus emerged, it has been increasingly difficult to get legitimate therapeutic resources, such as the scarcity of specialists and healthcare professionals, appropriate equipment and medications, etc. There are many deaths as a result of the medical profession as a whole being in distress. People started taking medications independently without the proper consultation because they weren't readily available, which made their health conditions worse than usual. Recently, machine learning has proven useful in a variety of applications, and creative work for automation is on the rise. The goal of this research is to present a medicine recommendation system that significantly decreases the need for specialists. Because they are doctor-friendly, emerging technologies like machine learning, deep learning, and data mining can help us investigate the history of medicine and lower medical errors. In order to identify the top few medications for a condition, this research suggests a drug recommendation system that uses word2vec sentiment analysis on patient review data


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Drug Recommendation System on Imbalanced Medical Data Using SMOTE

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  Paper Title: QUALITATIVE AND QUANTITATIVE STUDY FOR IMPACT EVALUATION OF A RESEARCH PROGRAMME FOR UNDERGRADUATE MEDICAL STUDENTS - EVIDENCE GENERATING COMMUNITY HEALTH INTERVENTION PROJECT (EVIGENCHIP)

  Author Name(s): Sunil Doshi, Sheetal Chhaya, Kalpesh Zanzrukiya, Divyang Patel, Lavlesh Kumar

  Published Paper ID: - IJCRT2211594

  Register Paper ID - 226594

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2211594 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2211594
Published Paper PDF: download.php?file=IJCRT2211594
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2211594.pdf

  Your Paper Publication Details:

  Title: QUALITATIVE AND QUANTITATIVE STUDY FOR IMPACT EVALUATION OF A RESEARCH PROGRAMME FOR UNDERGRADUATE MEDICAL STUDENTS - EVIDENCE GENERATING COMMUNITY HEALTH INTERVENTION PROJECT (EVIGENCHIP)

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 11  | Year: November 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 11

 Pages: e963-e967

 Year: November 2022

 Downloads: 49

  E-ISSN Number: 2320-2882

 Abstract

Background:Lesser number of undergraduate (UG) MBBS students carries the concept of biomedical research. In order to achieve the endeavour of creating globally at par Indian medical graduates, it appears obligatory to introduce research aptitude among UG medical students. More than a decade back, Medical Education Unit of SBKS Medical Institute& Research Centre, SumandeepVidyapeeth, formulated and running a research orientation programme to involve and enrich the UG medical students in biomedical research during their 3rd first professionals . The programme is named as Evidence Generating Community Health Intervention Project(EviGenCHIP). Aims and Objectives:1. To evaluate the impact of EviGenCHIP Programme. 2. To assess research aptitude and research profile of the trained students.3.To appraise feedback from the faculty about the programme. Methodology: This was an observational study conducted at department of Forensic Medicine & Toxicology, SBKSMI&RC in duration of 4 months after approval from Institutional Ethics Committee. A Quantitative & Qualitative study conducted on UG students and teaching faculties trained under EviGenCHIP. Total number of students participated in this study were 100 for quantitative study. 4 batches of focused group, each group comprising of 6 students, i.e. 24 students and one group of 6 faculties were be recruited for qualitative study. Non-randomised sampling method was adopted to recruit the participants in Focused Group Discussion. Observations: This programme does have an impact on most of the students who participated in this programme which is reflected in content analysis of Focus group discussion and Quantitative data analysis. Conclusion: This unique programme is a necessity in formal medical undergraduate education and those students who were interested and are properly mentored reflected positive impact on their research aptitude.


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 Keywords

Community research, UG Medical teaching, Focused Group Discussion, Impact evaluation

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  Paper Title: A MODERN APPROACH TO PREDICT HEART DISEASE USING NEURAL NETWORKS

  Author Name(s): Murali Mohan T, Yugandhar Bokka, Karunakar K, Archana G

  Published Paper ID: - IJCRT2211593

  Register Paper ID - 228379

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2211593 and DOI :

  Author Country : Indian Author, India, 534280 , Narsapur, 534280 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2211593
Published Paper PDF: download.php?file=IJCRT2211593
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2211593.pdf

  Your Paper Publication Details:

  Title: A MODERN APPROACH TO PREDICT HEART DISEASE USING NEURAL NETWORKS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 11  | Year: November 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 11

 Pages: e958-e962

 Year: November 2022

 Downloads: 34

  E-ISSN Number: 2320-2882

 Abstract

Obese individuals have a high possibility of developing Cardio Vascular Disease (CVD), which should be because of an alteration in the Autonomic Nervous System (ANS) .Heart Rate Variability (HRV) can be utilized to recognize the progressions in ANS movement. An HRV is a device to gauge the ANS action utilizing linear and non- linear HRV features. In this paper, we address the impact of weight on ANS utilizing HRV parameters. At first, two sets of twenty counts are taken; one set contains obesity and one more set is non-obesity regardless of gender, between the ages of 20 to 50. The measurably massive distinction between the two sets was noticed using the Independent t-test. Measurable consequences of the review show the sympathovagal imbalance because of reduced parasympathetic movement. To come up with exact outcomes, we executed deep learning techniques. This paper essentially represents two best profound learning calculations: RNN (Recurrent Neural Network) and LSTM (Long Short-Term Memory). The experimental results show that the LSTM expectation impact is superior to RNN in terms of recognizing CVD.


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 Keywords

Deep learning, RNN, LSTM, CVD, ANS.

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  Paper Title: A CASE STUDY OF TRACE ELEMENTS (BORON AND LEAD) ON THE PROPERTIES OF GREY CAST IRON

  Author Name(s): SANJEEV KUMAR

  Published Paper ID: - IJCRT2211592

  Register Paper ID - 227992

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2211592 and DOI :

  Author Country : Indian Author, India, 123023 , Narnaul, 123023 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2211592
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  Your Paper Publication Details:

  Title: A CASE STUDY OF TRACE ELEMENTS (BORON AND LEAD) ON THE PROPERTIES OF GREY CAST IRON

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 11  | Year: November 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 11

 Pages: e951-e957

 Year: November 2022

 Downloads: 34

  E-ISSN Number: 2320-2882

 Abstract


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  Paper Title: IMPACT OF ARTIFICIAL INTELLIGENCE ON MARKETING ARTIFICIAL INTELLIGENCE AND MARKETING

  Author Name(s): Aadil Ahmad malik, Ms Sapna

  Published Paper ID: - IJCRT2211591

  Register Paper ID - 228337

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2211591 and DOI :

  Author Country : Indian Author, India, 190017 , Srinagar, 190017 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2211591
Published Paper PDF: download.php?file=IJCRT2211591
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2211591.pdf

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  Title: IMPACT OF ARTIFICIAL INTELLIGENCE ON MARKETING ARTIFICIAL INTELLIGENCE AND MARKETING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 11  | Year: November 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 11

 Pages: e948-e950

 Year: November 2022

 Downloads: 31

  E-ISSN Number: 2320-2882

 Abstract

The purpose of Artificial intelligence (AI) in marketing is to continually monitor and anticipate the next purchase decision of the consumers in mind and improve their overall "journey." The potential of AI can be seen in its primary components: big data, machine learning, and robust solutions. The idea"big data "big data" means that marketers can combine and categorize massive quantities of data using a minimum of manual effort. Utilizing this data, they can be confident that they will send the correct message to the appropriate people at the right moment through the preferred channel. Machine learning (deep learning) lets marketers comprehend and draw logic from huge data collection. They can predict consumption trends, track and analyze customer purchases, and predict future customer behavior. Producing robust solutions means that we are in a time when machines can comprehend the world the same as we do. Devices can recognize concepts and themes in the spectrum of data, interpret emotions and human communication, and provide appropriate responses to the needs of consumers. They can quickly determine the behavior and choices of buyers and then use the data to address issues in the future. In the years to come, marketers can expect more significant AI impact through better-informed searches, more effective ads, improved content delivery, reliance on bots, and continuous learning. They protect against fraudulent activities and data breaches such as sentiment analysis, image and voice recognition, sales forecasts, and language recognition, as well as predictors of customer services, segmentation of customers, and more. This paper seeks to determine the relationship between marketers and AI machines.


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Artificial intelligence, marketing, machine learning, powerful solutions, bots, marketers, big data

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  Paper Title: STUDY AND ANALYSIS ON MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE FOR SMART AGRICULTURE

  Author Name(s): Gorati Sravan kumar, 2Sushma Niveni Pindiga

  Published Paper ID: - IJCRT2211590

  Register Paper ID - 228332

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2211590 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2211590
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  Title: STUDY AND ANALYSIS ON MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE FOR SMART AGRICULTURE

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 11  | Year: November 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 11

 Pages: e938-e947

 Year: November 2022

 Downloads: 31

  E-ISSN Number: 2320-2882

 Abstract

The goal of this research was to make an assessment of where AI and ML have been applied so far in agriculture and to make some educated speculations about where the field might go from here. This research takes a systematic literature review approach to the articles already published across a variety of scientific platforms that explore the overlap between artificial intelligence (AI) and supply chain management (SC) and machine learning (ML) in the food industry (FT). In this work, we propose a strategy for decreasing agricultural risks and bolstering smart farming practises. The wireless AI-based sensor will raise the bar for intelligent agriculture, which has seen progress in the past. In order to improve prediction in its current form, this research uses image-processing based machine learning techniques. Detecting and controlling cotton leaf diseases is the main objective of this study. The study covers a wide range of topics, including the detection of diseases on leaves, a server-based remote monitoring system, moisture and temperature sensing, and soil sensing. Plant illnesses caused by insects and other pathogens can drastically cut harvest yields if not treated promptly. In this study, we describe a system for assessing soil quality and warding against diseases that affect cotton leaves. Artificial intelligence's regression technique is used by the proposed system to detect and categorise leaf rots. After the virus


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STUDY AND ANALYSIS ON MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE FOR SMART AGRICULTURE

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