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: THE RELATIONSHIP OF SELECTED PHYSIOLOGICAL AND ANTHROPOMETRIC VARIABLE WITH THE PERFORMANCE OF BOWLING SKILL IN CRICKET
Author Name(s): AJAY KRISHNA VAKA, Dr.N.VIJAYMOHAN
Published Paper ID: - IJCRT2205750
Register Paper ID - 220593
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205750 and DOI :
Author Country : Indian Author, India, 530003 , visakhapatnam, 530003 , | Research Area: Medical Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205750 Published Paper PDF: download.php?file=IJCRT2205750 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205750.pdf
Title: THE RELATIONSHIP OF SELECTED PHYSIOLOGICAL AND ANTHROPOMETRIC VARIABLE WITH THE PERFORMANCE OF BOWLING SKILL IN CRICKET
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Medical Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: g461-g465
Year: May 2022
Downloads: 274
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Keywords: Bowlers, Cricket, anthropometry, Physiological variables
Paper Title: IMPACT OF COVID-19 IN INDIA : ISSUES, CHALLENGES AND OPPORTUNITIES
Author Name(s): Dr. Usha Pandey
Published Paper ID: - IJCRT2205749
Register Paper ID - 220513
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205749 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205749 Published Paper PDF: download.php?file=IJCRT2205749 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205749.pdf
Title: IMPACT OF COVID-19 IN INDIA : ISSUES, CHALLENGES AND OPPORTUNITIES
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: g453-g460
Year: May 2022
Downloads: 263
E-ISSN Number: 2320-2882
There is no denying that India is equally hard-hit by the pandemic, COVID-19, more in economic than in terms of human toll-comprising deaths, infected and suspected. India had also been witnessing a pre-pandemic slowdown and unprecedented shock. The economic impact of the COVID-19 pandemic in India has been largely disruptive. India was bound to be affected not only because of its domestic slowdown but also because of its international recession. The Central Government of India has announced a variety of measures to tackle from this pandemic from healthcare, food security, tax deadline extensions, sector related incentives and many more. This study describes the impact of this pandemic on various sector and revealed various opportunities for India to arrive on the international stage afresh and assert itself as a global power in its own right.
Licence: creative commons attribution 4.0
COVID-19, Pandemic, Indian Economy, Impacts.
Paper Title: DEEP LEARNING APPROACH FOR TRAFFIC CONDITION PREDICTION USING IMAGE CAPTIONING
Author Name(s): Ms.Komal Thorat, Prof.R.L.Paikrao
Published Paper ID: - IJCRT2205748
Register Paper ID - 220551
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205748 and DOI :
Author Country : Indian Author, India, 414307 , Parner,Ahmednagar, 414307 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205748 Published Paper PDF: download.php?file=IJCRT2205748 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205748.pdf
Title: DEEP LEARNING APPROACH FOR TRAFFIC CONDITION PREDICTION USING IMAGE CAPTIONING
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: g446-g452
Year: May 2022
Downloads: 251
E-ISSN Number: 2320-2882
Using related images in conjunction with an image-based gateway is used for searching the data. It is possible to retrieve the massive of images on the web because many the images are holding without named captions on a variety of websites. It is quite easy for the users to inspect the images in accordance with their requirements. In the sense that a significant number of users are unable to recover the relevant images as a result of their failure to anticipate the appropriate inscription on their images. Based on the quality of the images, it is our responsibility to bring out a self-regulating image caption. First, the details/objects of a picture can distinctly understand, and then it will be represented by a phrase or declaration that is consistent with the grammatical rules that govern the semantic information contained in the image. Because of this, methods for combining computer vision and natural language processing are required in order to join the two distinct types of media together, which is extremely challenging. The paper aims to produce mechanized inscriptions by learning the contents of an image and applying that knowledge. Now, images are clarified only through the intervention of humans, and this proves to be an almost unthinkable task for massive databases. To contribute to a deep neural network, the picture information base is provided. A Convolutional Neural Network (CNN) works like an encoder which is used to generate a caption that extracts the best part or required part from our image, and a Recurrent Neural Network (RNN) works like decoder which is used to translate the extracted highlights from given image in order to obtain a sequential and meaningful description of the image.
Licence: creative commons attribution 4.0
Traffic dataset, Deep Learning, Image captioning, CNN, RNN
Paper Title: MACHINE LEARNING APPROACH FOR HANDWRITTEN CHARACTER RECOGNITION AND CLASSIFICATION
Author Name(s): Dr.G.NallaSivan, A.Nithin, T.Surya, D.Hanuram Surya
Published Paper ID: - IJCRT2205747
Register Paper ID - 220523
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205747 and DOI :
Author Country : Indian Author, India, 627152 , tirunelveli, 627152 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205747 Published Paper PDF: download.php?file=IJCRT2205747 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205747.pdf
Title: MACHINE LEARNING APPROACH FOR HANDWRITTEN CHARACTER RECOGNITION AND CLASSIFICATION
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: g440-g445
Year: May 2022
Downloads: 256
E-ISSN Number: 2320-2882
The machine learning-based handwritten digit identification system suggested in this research study is a model that can be used to detect and recognize digits written by a user on an editable canvas widget inside a Graphical User Interface (GUI). This research article describes handwritten digit recognition systems in depth, our strategy to creating one, and analyzes the accuracy of several machine learning methods that may be used to create such systems.
Licence: creative commons attribution 4.0
Handwritten Digit Recognition, GUI, Machine Learning Algorithm, Handwritten Digit Recognition System, Accuracy, Convolutional Neural Network, Support Vector Machine.
Paper Title: A COMPLETE REVIEW ON ADVANTAGES OF BLOCKCHAIN AND IOT IN SUPPLY CHAIN COMPARED TO TRADITIONAL SYSTEMS
Author Name(s): Gopale Tushar Prabhakar, Dr. S. K. Sonkar
Published Paper ID: - IJCRT2205746
Register Paper ID - 220541
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205746 and DOI :
Author Country : Indian Author, India, 422603 , Sangamner, 422603 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205746 Published Paper PDF: download.php?file=IJCRT2205746 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205746.pdf
Title: A COMPLETE REVIEW ON ADVANTAGES OF BLOCKCHAIN AND IOT IN SUPPLY CHAIN COMPARED TO TRADITIONAL SYSTEMS
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: g436-g439
Year: May 2022
Downloads: 259
E-ISSN Number: 2320-2882
Blockchain is emerging as a technology with multiple benefits in all possible sectors and domains. Supply chain is not exception of it. Trust, integrity, security all this can be introduced in supply chain using blockchain. Trust based traditional supply chain has many disadvantages and difficult to manage all stakeholders. IoT and blockchain together can help industries to establish secure, immutable, transparent supply chains. All stakeholders can track the records and no-one will own the data. Even list of benefits is still growing but implementation rate is quite less. This is because of less understanding of technology and not knowing what difference it will create after implementation. In this paper we will discuss multiple approaches to manage transparency in supply chain. From traditional to blockchain based solutions, how it can impact in sectors like healthcare, agriculture, eCommerce, food-processing. We will check problems in current supply chain and possible solutions using technologies like blockchain and IoT. This article will help people from various sectors to understand how technology can change overall system by keeping functioning same and how it can improve the efficiency.
Licence: creative commons attribution 4.0
Blockchain, Supply-Chain, IoT, Traceability
Paper Title: A SURVEY ON DEEP LEARNING TECHNOLOGIES USED FOR IMAGE CAPTIONING
Author Name(s): Ms.Komal Thorat, Prof.R.L.Paikrao
Published Paper ID: - IJCRT2205745
Register Paper ID - 220537
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205745 and DOI :
Author Country : Indian Author, India, 414307 , Parner, 414307 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205745 Published Paper PDF: download.php?file=IJCRT2205745 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205745.pdf
Title: A SURVEY ON DEEP LEARNING TECHNOLOGIES USED FOR IMAGE CAPTIONING
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: g433-g435
Year: May 2022
Downloads: 248
E-ISSN Number: 2320-2882
Image captioning is the process of generating textual information about an image. Nowadays it is attracting more and more attention, as it is a newly emerged research area. To accomplish the goal of image captioning, semiology information of images needs to be recorded and conveyed in natural languages. Both Natural Language Processing and Computer Vision are used to generate the captions, so it becomes a quite challenging task. Numerous techniques have been proposed to tackle this problem. In this paper, we present a survey on different approaches in image captioning research. Based on the techniques and models adopted, we classify image captioning. In this paper, we first drew attention to methods used earlier, and then we focus our main attention on neural network-based methods and used models, which give state-of-the-art results.
Licence: creative commons attribution 4.0
Image captioning, Attention mechanism, Deep Learning, Encoder-decoder framework, Multi-Task Learning
Paper Title: TRENDS IN RETAIL INVESTOR BEHAVIOUR IN THE STOCK MARKET POST COVID-19
Author Name(s): Dr Poonam Bewtra
Published Paper ID: - IJCRT2205744
Register Paper ID - 220535
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205744 and DOI : http://doi.one/10.1729/Journal.30659
Author Country : Indian Author, India, 110029 , New Delhi, 110029 , | Research Area: Commerce and Management, MBA All Branch Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205744 Published Paper PDF: download.php?file=IJCRT2205744 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205744.pdf
Title: TRENDS IN RETAIL INVESTOR BEHAVIOUR IN THE STOCK MARKET POST COVID-19
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.30659
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Commerce and Management, MBA All Branch
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: g421-g432
Year: May 2022
Downloads: 348
E-ISSN Number: 2320-2882
India and the world saw its biggest disruption in the financial economy since the financial crisis of 2008 because of Covid 19. The Indian stock exchange is a very important component of the Indian financial system. The purpose of the paper is to study the behaviour of retail investors in India post covid 19. The paper tries to examine the changes and analyze the reasons for this change.
Licence: creative commons attribution 4.0
Retail Investor, Stock market, Foreign Institutional Investors
Paper Title: SURVEY ON MACHINE LEARNING APPROACH FOR HIGH RISK PREDICTION OF CARDIOVASCULAR DISEASES
Author Name(s): Prajakta R. Kulkarni, Dr. S. K. Sonkar
Published Paper ID: - IJCRT2205743
Register Paper ID - 220536
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205743 and DOI :
Author Country : Indian Author, India, 414305 , Ahmednagar, 414305 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205743 Published Paper PDF: download.php?file=IJCRT2205743 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205743.pdf
Title: SURVEY ON MACHINE LEARNING APPROACH FOR HIGH RISK PREDICTION OF CARDIOVASCULAR DISEASES
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: g418-g420
Year: May 2022
Downloads: 258
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Machine learning, heart disease prediction, prediction Model, classification algorithms, cardiovascular disease.
Paper Title: NON DESTRUCTIVE TESTING OF RCC STRUCTURE
Author Name(s): Arafat Warsi, Subhi Katiyar
Published Paper ID: - IJCRT2205742
Register Paper ID - 220566
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205742 and DOI :
Author Country : Indian Author, India, 208010 , KANPUR NAGAR, 208010 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205742 Published Paper PDF: download.php?file=IJCRT2205742 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205742.pdf
Title: NON DESTRUCTIVE TESTING OF RCC STRUCTURE
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: g414-g417
Year: May 2022
Downloads: 261
E-ISSN Number: 2320-2882
In this paper, you have been told that what is ultrasonic pulse velocity testing, how many methods are there, how it is done, how crack depth will be calculated and how the test condition is affected with methodology.
Licence: creative commons attribution 4.0
Non-destructive testing , Ultrasonic testing of RCC Structure , Ultrasonic pulse velocity test , Crack depth
Paper Title: HOW CAN SOCIAL MEDIA IMPACT THE BUYING CHOICES OF SHOPPERS
Author Name(s): Vibhuti Agarwal
Published Paper ID: - IJCRT2205741
Register Paper ID - 219633
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205741 and DOI :
Author Country : Indian Author, India, 843302 , Sitamarhi, 843302 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205741 Published Paper PDF: download.php?file=IJCRT2205741 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205741.pdf
Title: HOW CAN SOCIAL MEDIA IMPACT THE BUYING CHOICES OF SHOPPERS
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: g389-g413
Year: May 2022
Downloads: 481
E-ISSN Number: 2320-2882
The purpose of this presentation is to demonstrate the impact of social media on customer decision-making. Advertisers have turned to web-based social networking to engage buyers because they have little control over the content, timing, or frequency of online interactions among customers. Social media has revolutionised the way businesses use computers over the last few years online, and as a result, social media marketing has earned its own identity in the business world. There are numerous online social networking platforms that influence customer behaviour. Like Google+, LinkedIn, and YouTube, for example. Nowadays, practically all ages of consumers use social media, including college students, working-class individuals, and even the elderly. In today's world, social media has evolved into a powerful tool that consumers can utilise to make purchasing decisions. Consumers' lives have been altered by technological advancements. Because we live in the twenty-first century, it is quite difficult for consumers to devote time to acquiring a product due to their hectic schedules. Consumers can obtain information not just about firms, but also about the companies, using Social Networking Sites. Even social media is assisting consumers in purchasing products through participation, which means that consumers and other stakeholders such as companies, consumers, society, and businesspeople are players rather than spectators. As a result, consumers have the option to alter their minds before purchasing any product through the internet. This is my take on how social media might impact buyers' buying decisions.
Licence: creative commons attribution 4.0
Consumer, Consumer Behavior, Marketing, Consumer Decision Process, Purchase, Online Sites.