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: A STUDY ON IMPACT OF INFORMATION TECHNOLOGY IN LOGISTICS AND SUPPLY CHAIN MANAGEMENT
Author Name(s): K. BHARATHI,, Dr.S.THOTHADRI, Dr.J. Khata Shariff
Published Paper ID: - IJCRT24A6070
Register Paper ID - 264636
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A6070 and DOI :
Author Country : Indian Author, India, 600014 , Chennai, 600014 , | Research Area: Management All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A6070 Published Paper PDF: download.php?file=IJCRT24A6070 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A6070.pdf
Title: A STUDY ON IMPACT OF INFORMATION TECHNOLOGY IN LOGISTICS AND SUPPLY CHAIN MANAGEMENT
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Management All
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: j617-j621
Year: June 2024
Downloads: 8
E-ISSN Number: 2320-2882
Information technology is an important factor for any business environment where opting for the right technology is an essential because of the high competition persistence. To maintain accuracy and fast transaction it happens to be the required tool to sustain in the current competitive market. This study attempts to state the various technologies in logistics and supply chain, how it has impacted the industry and future perception toward information technology in logistics and supply chain management. Purposive sampling technique is used for collecting questionnaire from 110 respondents of southern region specifically confined to Tamil Nadu, Kerala and Karnataka.
Licence: creative commons attribution 4.0
Logistics, Supply chain management, Information technology
Paper Title: Social impact of climate change on rural women
Author Name(s): Kushagra Garg
Published Paper ID: - IJCRT24A6069
Register Paper ID - 264872
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A6069 and DOI :
Author Country : Indian Author, India, 110010 , Delhi, 110010 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A6069 Published Paper PDF: download.php?file=IJCRT24A6069 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A6069.pdf
Title: SOCIAL IMPACT OF CLIMATE CHANGE ON RURAL WOMEN
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: j613-j616
Year: June 2024
Downloads: 14
E-ISSN Number: 2320-2882
Abstract: Climate change disproportionately burdens rural women due to their social roles and limited access to resources. This paper explores the social challenges faced by rural women in the context of climate disruptions, highlighting the impact on livelihoods, health, and safety. It emphasizes the importance of recognizing women's agency and investing in their resilience for a more equitable and sustainable future.
Licence: creative commons attribution 4.0
Climate Change Impacts: Droughts Floods Extreme weather events Social Impact on Rural Women: Vulnerability Livelihoods disruption (agriculture, food security) Gender inequalities Increased workload Health risks (malnutrition) Safety risks (displacement, gender-based violence) Women's Agency: Knowledge of resource management Resilience Solutions: Empowering rural women Education and skills training Access to resources Addressing gender inequalities .
Paper Title: Diversity of Angiosperms and their conservation status in Rakab Forest, a sacred grove in Purulia District, West Bengal
Author Name(s): Dr.Sujit Kumar Mandal, Paramita Pati, Tulsi Hembram, Sudeshna Mukherjee
Published Paper ID: - IJCRT24A6068
Register Paper ID - 264765
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A6068 and DOI :
Author Country : Indian Author, India, 723104 , Purulia, 723104 , | Research Area: Life Sciences All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A6068 Published Paper PDF: download.php?file=IJCRT24A6068 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A6068.pdf
Title: DIVERSITY OF ANGIOSPERMS AND THEIR CONSERVATION STATUS IN RAKAB FOREST, A SACRED GROVE IN PURULIA DISTRICT, WEST BENGAL
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Life Sciences All
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: j598-j612
Year: June 2024
Downloads: 13
E-ISSN Number: 2320-2882
The assessment on the plant biodiversity was carried out during February 2024 to June, 2024 in Rakab Forest at Keshargarh in Purulia district, West Bengal, India. A total of 123 plant species were recorded from the study area. Among them one family was gymnosperm and all other families were angiosperms. Among those angiospermic families Fabaceae comprises highest number of species i.e.14 species, followed by Apocynaceae comprises 11 species, Asteraceae comprises 09 species, Euphorbiaceae, Lamiaceae and Poaceae contributes 05 species of each. In the present study, the conservation status of the plant specimens, given by IUCN has been mentioned. According to the information provided by IUCN, 55 species were in Least Concern(LC), 01 species was in Data Deficient(DD), 02 species were in Near Threatened (NT) and 01 species was in Endangered(EN) categories among the plants collected from the study area. This work was accomplished by collection, documentation, identification and description of the plant specimens.
Licence: creative commons attribution 4.0
Angiosperms, Diversity, Conservation status, Rakab Forest, Purulia.
Paper Title: Relationship Among Socio-Economic Status And Risk Taking Ability Of College Female Students
Author Name(s): Kuldeep Kumar
Published Paper ID: - IJCRT24A6067
Register Paper ID - 264750
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A6067 and DOI :
Author Country : Indian Author, India, 151507 , Sardulgarh, 151507 , | Research Area: Other area not in list Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A6067 Published Paper PDF: download.php?file=IJCRT24A6067 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A6067.pdf
Title: RELATIONSHIP AMONG SOCIO-ECONOMIC STATUS AND RISK TAKING ABILITY OF COLLEGE FEMALE STUDENTS
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 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: 6
Pages: j589-j597
Year: June 2024
Downloads: 17
E-ISSN Number: 2320-2882
The aim of the study was to examine the relationship between socio-economic status and risk-taking ability of college female students, those who were studying in various colleges of Chandigarh. To achieve the aim of the study six hundred (N=600) female students (120 students from each stream) were selected randomly from different colleges i.e., P.G.G.C., Sector-11 Chandigarh, P.G.G.C., Sector-42 Chandigarh, PGGC, Sector-46 Chandigarh, S.G.G.S. College, Chandigarh and G.G.D.S.D. College, Chandigarh. The age of the subjects was ranged between 18-22 years. The selected subjects were from five different streams i.e., B.A., B. Com, B.Sc. Medical, B.Sc. Non-Medical and B.C.A. The analysis of the data was done by using Product Moment Correlation. The results of the study revealed that significant positive relationship between Socio Economic Status and Risk-Taking Ability (r= 0.124) in case of total samples. This relationship was found to be significant as the corresponding p-value (=0.002) was less than 0.01 level of significance. Significant positive correlation was found between socio-economic status and risk-taking ability in B. Com and B.C.A streams. On the other hand, non-significant correlation was observed between socio-economic status and risk-taking ability in case of B.A., B. Sc non-medical and B. Sc medical streams.
Licence: creative commons attribution 4.0
Socio-Economic Status, Risk-Taking Ability, College, Female And Students
Paper Title: Virtual Trial Room
Author Name(s): Supriya Babaso Patil, Neha Arun Shinde, Sayali Sayaji Sawant
Published Paper ID: - IJCRT24A6066
Register Paper ID - 263640
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A6066 and DOI :
Author Country : Indian Author, India, 415407 , Sangli, 415407 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A6066 Published Paper PDF: download.php?file=IJCRT24A6066 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A6066.pdf
Title: VIRTUAL TRIAL ROOM
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: j583-j588
Year: June 2024
Downloads: 16
E-ISSN Number: 2320-2882
--With the development of technology, online shopping, known as e-shopping, has grown exponentially worldwide today. Advances in electronic shopping have led to a revolution in shopping that allows consumers to shop anytime, anywhere. Although e-shopping has many advantages, its main disadvantage is that it is difficult for online shoppers to try on products, especially clothes. Therefore, the virtual room using AR is proposed to be created as a web application that allows buyers to see how the shirt will look and whether it will suit their body without putting the shirt on. This is done to improve the market for buyers and allow them to try on clothes for size, fit or style. In this development, AR, human body detection and motion tracking are combined, the user's body movements are tracked through the camera, and clothing patterns are adapted to the user's body. Use predictive modeling to identify, analyze and track the position of the skeleton. In addition, Body measurements and garments are analyzed and interpreted to help virtual garments fit the body perfectly[1] . Retailers are looking for better options to improve their e-commerce business amid the spread of the COVID-19 virus. This project will help them achieve their best work with the help of the internet and its extensive resources. This web-based application helps users try on clothes online while sitting at home[3]
Licence: creative commons attribution 4.0
Human body detection, AR, skeleton-joint position, virtually analyzed
Paper Title: Standardisation of Early Adolescent Temperament Questionnaire- Revised Parent Report in Tamil Language
Author Name(s): Sreyalakshmi C V, Samuel Dinakaran S, Janardan Patra
Published Paper ID: - IJCRT24A6065
Register Paper ID - 264425
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A6065 and DOI : http://doi.one/10.1729/Journal.40348
Author Country : Indian Author, India, 671317 , Kasaragod, 671317 , | Research Area: Health Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A6065 Published Paper PDF: download.php?file=IJCRT24A6065 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A6065.pdf
Title: STANDARDISATION OF EARLY ADOLESCENT TEMPERAMENT QUESTIONNAIRE- REVISED PARENT REPORT IN TAMIL LANGUAGE
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.40348
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Health Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: j574-j582
Year: June 2024
Downloads: 11
E-ISSN Number: 2320-2882
The purpose of this study was to establish the reliability and validity of Tamil version of the Early Adolescent Temperament Questionnaire-Revised (EATQ-R) Parent Report. The original version of the Early Adolescent Temperament Questionnaire-Revised Parent Report which has got 62 questions was translated into Tamil through forward and backward translation. This questionnaire was then sent to experts and their reviews were used to establish the content validity. The Tamil version of (EATQ-R) Parent Report was then administered to parents of adolescents of age 9 to 15. The data collected was used to establish its internal consistency. The internal consistency reliability was determined using Cronbach's alpha. The value ranged from 0.45 to 0.88 with eight out of ten items having a value more than 0.60 showing an acceptable internal consistency. The content validity was established by taking the reviews of experts. It was quantified using content validity index (CVI). Its value was 0.822 indicating a good content validity. The Tamil version of Early Adolescent Temperament Questionnaire- Revised (EATQ-R) Parent Report has acceptable internal consistency and good content validity.
Licence: creative commons attribution 4.0
Temperament, Activation Control, Affiliation, Attention, Fear, Frustration, Inhibitory Control, Shyness, Surgency, Depressive mood, Aggression, Cronbach's alpha, Content Validity Index (CVI).
Paper Title: Cultural Manifestations in Consumer Behaviour: An Indological Socio-Marketing Concept
Author Name(s): Dr Mukesh Kumar
Published Paper ID: - IJCRT24A6064
Register Paper ID - 264623
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A6064 and DOI :
Author Country : Indian Author, India, 110075 , South West, 110075 , | Research Area: Management All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A6064 Published Paper PDF: download.php?file=IJCRT24A6064 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A6064.pdf
Title: CULTURAL MANIFESTATIONS IN CONSUMER BEHAVIOUR: AN INDOLOGICAL SOCIO-MARKETING CONCEPT
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Management All
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: j568-j573
Year: June 2024
Downloads: 12
E-ISSN Number: 2320-2882
Abstract: Culture is the set of social traditions and customs. The form of culture is very extensive and the world is so large that all the population cannot come into contact with each other at one time. Different societies are affected differently by different beliefs, customs, and traditions. Culture includes scientific investigations, achievements, literature and its kind such as drama, poetry, short story, novel etc. Customs, traditions, law, habits, methodology, fashion, festivals are also an integral part of culture along with art, music, dance, sculptures, paintings, religions, moral values, human beliefs, patterns of behaviour, etc. Socially relevant cultural ideas may be classified into four broad categories such as belief, values, norms and technologies. Cultural believes are statements that are assumed to express, fundamental truths, about reality and human life. Cultural values are shared conceptions of what is desirable and undesirable in social life. Cultural norms are shared standards regarding acceptable and unacceptable social actions. Technology consists of knowledge about techniques using material objects or social actions to achieve desired objectives .
Licence: creative commons attribution 4.0
Keywords- Consumer, Indology, Marketing, Behaviour, Culture, Traditions, Motivation, Values etc.
Paper Title: ENHANCING AGRICULTURE WITH MACHINE LEARNING: LEAF DISEASE DIAGNOSIS
Author Name(s): Chinnapaga Ganesh, Dr. K Shanthi Sree
Published Paper ID: - IJCRT24A6063
Register Paper ID - 264748
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A6063 and DOI :
Author Country : Indian Author, India, 509130 , Amarchintha, 509130 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A6063 Published Paper PDF: download.php?file=IJCRT24A6063 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A6063.pdf
Title: ENHANCING AGRICULTURE WITH MACHINE LEARNING: LEAF DISEASE DIAGNOSIS
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: j559-j567
Year: June 2024
Downloads: 11
E-ISSN Number: 2320-2882
One area that significantly affects people's quality of life and financial situation is agriculture. Poor management causes agricultural goods to be lost. This method uses a deep neural network, an alternative to a regular neural network, to identify leaf diseases. This makes it simple to identify leaf disease. The user can upload a picture of a leaf first, and the image will be uploaded on the screen. Next, click the button to analyse the image. A leaf's state of health can be determined by the disease and shown. The leaf image shows the presence of the illness. Utilizing an accessible dataset of 1500 images of solid and ill plants, this work characterizes crop species and determines the disease status of three different groups using deep convolutional systems and semi-supervised approaches.
Licence: creative commons attribution 4.0
Image analysis, Semi-Supervised Approaches, Crop Species Classification, Disease Identification.
Paper Title: Enhanced COVID-19 Detection and Severity Assessment Using Modified VGG16 with Attention Mechanism on Chest X-Rays
Author Name(s): Sneha B. Bavdekar, T. B. Mohite-Patil
Published Paper ID: - IJCRT24A6062
Register Paper ID - 264488
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A6062 and DOI :
Author Country : Indian Author, India, 416001 , Kolhapur, 416001 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A6062 Published Paper PDF: download.php?file=IJCRT24A6062 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A6062.pdf
Title: ENHANCED COVID-19 DETECTION AND SEVERITY ASSESSMENT USING MODIFIED VGG16 WITH ATTENTION MECHANISM ON CHEST X-RAYS
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: j551-j558
Year: June 2024
Downloads: 9
E-ISSN Number: 2320-2882
This paper presents an enhanced approach for detecting and assessing the severity of COVID-19 from chest X-ray (CXR) images using a modified VGG16 architecture integrated with an attention mechanism. The attention layer, placed strategically after the Conv4_3 layer, enables the network to focus on critical regions, improving sensitivity and specificity. The model was trained on a combined dataset, achieving an accuracy of 94% and a Root Mean Square Error (RMSE) of 0.95 for severity prediction. These results highlight the model's superior performance in distinguishing between COVID-19 infected and normal cases and in providing accurate severity assessments. Comparative analyses demonstrate the model's efficacy over other retrained models, ensuring minimal false positives and accurate COVID-19 detection. This modified VGG16 model represents a significant advancement in medical image analysis, offering a reliable tool for real-time clinical applications in diagnosing and managing COVID-19.
Licence: creative commons attribution 4.0
COVID-19 Detection, Chest X-ray (CXR) Analysis, VGG16 Architecture, Attention Mechanism, Severity Assessment
Paper Title: LIGHTENING NETWORK FOR LOW-RESOLUTION IMAGE ENHANCEMENT
Author Name(s): Tummala Vinay Goud, Dr. K Shanthi Sree
Published Paper ID: - IJCRT24A6061
Register Paper ID - 264747
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A6061 and DOI :
Author Country : Indian Author, India, 501218 , shamshabad, 501218 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A6061 Published Paper PDF: download.php?file=IJCRT24A6061 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A6061.pdf
Title: LIGHTENING NETWORK FOR LOW-RESOLUTION IMAGE ENHANCEMENT
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: j544-j550
Year: June 2024
Downloads: 11
E-ISSN Number: 2320-2882
Upgrading pictures in low light is a troublesome undertaking that has earned a great deal of revenue. Low-light photography every now and again delivers pictures with poor visual quality. We approach the low-light upgrade as a leftover learning issue, i.e., assessing the lingering between photographs taken in low-and typical light circumstances. We present a one of a kind Deep Lightening Network (DLN) in this review, which profits by the ongoing advances in Convolutional Neural Networks (CNNs). There are numerous Lightning Back Projection (LBP) blocks in the proposed DLN. The LBPs gain proficiency with the lingering for ordinary light gauges by iteratively performing lighting up and obscuring activities. Furthermore, we present a Feature Aggregation (FA) block that adaptively blends the results of a few LBPs to utilize the nearby and worldwide highlights ideally. We test the recommended approach utilizing a few datasets. In view of goal and emotional markers, our recommended DLN philosophy performs better compared to elective methodologies, as per mathematical information.
Licence: creative commons attribution 4.0
Low-Light Image Enhancement, Deep Learning, Residual Learning, Deep Lightening Network (DLN).