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: Optimizing Road Safety: A Fog Computing Perspective on Accident Detection Systems in IoT
Author Name(s): Nikita Kolte, Shailendra Kumar Mittal
Published Paper ID: - IJCRT2403841
Register Paper ID - 253903
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2403841 and DOI : http://doi.one/10.1729/Journal.39476
Author Country : Indian Author, India, 411038 , Pune, 411038 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2403841 Published Paper PDF: download.php?file=IJCRT2403841 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2403841.pdf
Title: OPTIMIZING ROAD SAFETY: A FOG COMPUTING PERSPECTIVE ON ACCIDENT DETECTION SYSTEMS IN IOT
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.39476
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: h37-h49
Year: March 2024
Downloads: 53
E-ISSN Number: 2320-2882
This paper explores the multifaceted landscape of Accident Detection Systems employing Fog Computing within the Internet of Things (IoT) paradigm. Embracing a comprehensive approach, the review incorporates key technologies such as mobile computing, cloud resources, and various IoT applications. The paper extensively examines integrating these technologies in accident detection systems, emphasizing the role of fog computing in reducing latency and optimizing response times. Leveraging smartphone sensors and cloud resources, the surveyed studies showcase innovative methodologies to enhance the efficiency and accuracy of accident detection. The abstract aims to provide a holistic understanding of the technological synergies shaping modern approaches to road safety.
Licence: creative commons attribution 4.0
Accident Detection, Cloud, IoT, Mobile computing, Fog Computing, GSM, GPS.
Paper Title: Deep Learning Techniques Using Garbage Classification
Author Name(s): Miss.Sayalee Suresh Alladwar, Mr. Hirendra Hajare
Published Paper ID: - IJCRT2403840
Register Paper ID - 253887
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2403840 and DOI :
Author Country : Indian Author, India, 442401 , Gadchiroli, 442401 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2403840 Published Paper PDF: download.php?file=IJCRT2403840 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2403840.pdf
Title: DEEP LEARNING TECHNIQUES USING GARBAGE CLASSIFICATION
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: h29-h36
Year: March 2024
Downloads: 37
E-ISSN Number: 2320-2882
All nations already spend a lot of time recycling. The most crucial task to enable cost-effective recycling is trash sorting, which is one of the tasks desired for recycling. In this essay, we make an effort to identify each individual piece of trash in the images and categories. it according to its suitability for recycling. We get knowledge of various techniques and provide a thorough assessment. Aid vector machines (SVM) with HOG features, basic convolutional neural networks (CNN), and CNN with residual blocks are the models we employed. We draw the conclusion from the comparison results that easy CNN networks, with or without residual blocks, perform well. The target database's issue with garbage categorization can now be successfully resolved thanks to deep learning techniques.
Licence: creative commons attribution 4.0
convolutional neural networks, trash classification
Paper Title: Building Resilience: Navigating Organizational Challenges and Uncertainties
Author Name(s): Krishna Rajput, Aakash Anand
Published Paper ID: - IJCRT2403839
Register Paper ID - 253725
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2403839 and DOI :
Author Country : Indian Author, India, 201005 , ghaziabad, 201005 , | Research Area: Management All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2403839 Published Paper PDF: download.php?file=IJCRT2403839 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2403839.pdf
Title: BUILDING RESILIENCE: NAVIGATING ORGANIZATIONAL CHALLENGES AND UNCERTAINTIES
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Management All
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: h27-h28
Year: March 2024
Downloads: 43
E-ISSN Number: 2320-2882
In today's rapidly changing business environment, organizations face numerous challenges and uncertainties that can impact their success. Building resilience has become a critical aspect of organizational strategy, enabling companies to navigate disruptions effectively. This article explores the concept of resilience in the context of a logistics company and outlines key strategies for fostering resilience at all levels. Effective leadership, a growth mindset, open communication, diverse teams, robust risk management, and investment in employee well-being are highlighted as essential components of building resilience. Embracing technology, learning from adversity, and creating a positive work environment are also emphasized. By prioritizing these elements, logistics companies can develop a resilient culture that enables them to thrive in dynamic and unpredictable environments, turning challenges into opportunities for growth and innovation.
Licence: creative commons attribution 4.0
resilience, effective leadership, growth mindset, communication, diversity, risk management, employee well-being, technology, learning from adversity.
Paper Title: Crop Yield Prediction Using Machine Learning
Author Name(s): Cyril T, Archana P V, Vignesh G D
Published Paper ID: - IJCRT2403838
Register Paper ID - 253856
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2403838 and DOI :
Author Country : Indian Author, India, 603103 , Chennai, 603103 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2403838 Published Paper PDF: download.php?file=IJCRT2403838 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2403838.pdf
Title: CROP YIELD PREDICTION USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: h18-h26
Year: March 2024
Downloads: 83
E-ISSN Number: 2320-2882
In this study, we present a novel crop production system that uses machine learning to transform agriculture. Using advanced algorithms, the system accurately predicts crop yields based on historical and real-time information, and optimizes resource allocation and farming decisions. Our goal is to improve precision agriculture by creating reliable and adaptive models that account for the various factors that influence yield variations. Crop yield prediction is one of the challenging tasks in agriculture. It plays an essential role in decision making at global, regional, and field levels. The prediction of crop yield is based on soil, meteorological, environmental, and crop parameters. Incorporating sensor data and satellite imagery, the system will understand optimal planting strategies and irrigation programs for sustainable agriculture. Continuously improving collaboration with farmers and stakeholders ensures efficiency, while a user-friendly interface promotes widespread adoption. This innovation is an important step towards efficient, sustainable, and data-driven crop management in modern agriculture.
Licence: creative commons attribution 4.0
Convolutional neural networks (CNN), Machine Learning (ML), Artificial Neural Networks (ANN), Application Programming Interfaces (API), Extreme Gradient Boosting (XGB) Support Vector Machine (SVM)
Paper Title: FINGERPRINT VEHICLE ACCESS AND GSM COMMUNICATION FOR ENHANCED SECURITY
Author Name(s): D.Vijendra Kumar, Pedamallu Pavan Kumar, Boddepalli Chandu, Tumula Umesh Chandra, Challa Madhav Reddy
Published Paper ID: - IJCRT2403837
Register Paper ID - 253882
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2403837 and DOI :
Author Country : Indian Author, India, 533296 , Chaitanya Knowledge City, 533296 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2403837 Published Paper PDF: download.php?file=IJCRT2403837 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2403837.pdf
Title: FINGERPRINT VEHICLE ACCESS AND GSM COMMUNICATION FOR ENHANCED SECURITY
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: h9-h17
Year: March 2024
Downloads: 77
E-ISSN Number: 2320-2882
The cutting-edge Biometric Vehicle Access and GSM Communication for Enhanced Security seamlessly combines biometric technology with mobile communication to fortify vehicle security. Utilizing fingerprint recognition and GSM connectivity, it establishes robust authentication processes while ensuring user convenience. The integrated GSM module enables instant communication between the vehicle and the owner's mobile device, providing real-time alerts for suspicious activities. Sophisticated algorithms minimize false acceptances, adapting to changes in finger conditions and environmental variables. Engine ignition depends on successful biometric authentication and owner verification via SMS, ensuring foolproof security. Using of Arduino mega 2560, GSM sim900A, AS608 fingerprint sensor module provides accuracy and efficiency outputs. This innovative system enhances user experience by eliminating traditional keys and addresses concerns regarding vehicle theft and unauthorized usage in today's dynamic landscape.
Licence: creative commons attribution 4.0
Arduino Mega 2560, GSM SIM 900A Module, As608 Fingerprint sensor Module.
Paper Title: WASTEWATER TREATMENT USING SMS (SPENT MUSHROOM SUBSTRATE)
Author Name(s): Prof Ashwini Modi
Published Paper ID: - IJCRT2403836
Register Paper ID - 253854
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2403836 and DOI :
Author Country : Indian Author, India, 451010 , Indore, 451010 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2403836 Published Paper PDF: download.php?file=IJCRT2403836 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2403836.pdf
Title: WASTEWATER TREATMENT USING SMS (SPENT MUSHROOM SUBSTRATE)
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: h1-h8
Year: March 2024
Downloads: 56
E-ISSN Number: 2320-2882
Spent mushroom substrate (SMS) technology for wastewater treatment is an innovative approach that utilizes the by-products generated from mushroom cultivation to treat wastewater. Spent mushroom substrate refers to the leftover material from mushroom cultivation after the mushrooms have been harvested. This material is rich in organic matter and contains various nutrients, making it suitable for use in wastewater treatment processes. The SMS technology typically involves using the spent mushroom substrate as a substrate or filter medium in constructed wetlands or bio filtration systems. In these systems, the SMS acts as a bio filter, providing a surface for microbial growth and creating an environment where microorganisms can degrade organic pollutants and remove nutrients from wastewater. The effectiveness of SMS technology for wastewater treatment depends on factors such as the type of wastewater being treated, the characteristics of the spent mushroom substrate, and the design of the treatment system. Research has shown that SMS technology can be effective in removing pollutants such as organic matter, nitrogen, and phosphorus from wastewater, while also reducing odors and improving water quality. One of the key advantages of SMS technology is its cost-effectiveness and sustainability. Since spent mushroom substrate is a by-product of mushroom cultivation, it can often be obtained at low cost or even for free, reducing the overall cost of wastewater treatment. Additionally, using SMS for wastewater treatment helps to recycle organic waste and reduce the environmental impact of mushroom cultivation. Overall, spent mushroom substrate technology offers a promising approach to wastewater treatment that combines environmental sustainability with effective pollution control. Ongoing research and development in this field continue to refine and optimize the use of SMS for wastewater treatment applications.
Licence: creative commons attribution 4.0
Biofiltration, Spent mushroom substrate (SMS), microbial growth, wastewater treatment
Paper Title: India: Child Protection, Development And Education
Author Name(s): Dr. Surjya Kanta Bhunia, Dr. Supriya Karmakar
Published Paper ID: - IJCRT2403835
Register Paper ID - 253928
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2403835 and DOI : http://doi.one/10.1729/Journal.38540
Author Country : Indian Author, India, 741150 , Krishnanagar, 741150 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2403835 Published Paper PDF: download.php?file=IJCRT2403835 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2403835.pdf
Title: INDIA: CHILD PROTECTION, DEVELOPMENT AND EDUCATION
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.38540
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: g983-g992
Year: March 2024
Downloads: 25
E-ISSN Number: 2320-2882
UNESCO's Global Education Monitoring Report, 2021, shows that 11 million girls are likely to be out of school after the Covid-19 pandemic, and these girls are between the ages of 12 and 17. A study by the India Child Protection Foundation shows a 95% increase in the sale of child sexual abuse products during the Covid-19 pandemic. In other words, child trafficking, child rape and sexual abuse have increased in India. India currently has an infant mortality rate of 32 while urban areas have 23 and rural areas have 36. According to UNICEF data, 2 crore 90lakh 60 thousand children are orphaned and abandoned in India. The Fifth National Family Health Survey, 2019-2020, shows that 11 states in India have stunted child growth and 14 states have high rates of child underweight. India and nine other countries will account for half of the world's population growth by 2050. So there will be huge population growth in India in coming days. India's biggest challenge in this current situation is to build a better India. But it is not possible to build a developed India if the state is not aware of the development and education of children. Government of India has taken several programs for child protection and overall development.
Licence: creative commons attribution 4.0
Child Protection, Child Rights, Child Labour, Child Development, Child Education.
Paper Title: The Emerging Trends in Indian University Library Services: A Systematic Review
Author Name(s): Smt.Shashikala AK
Published Paper ID: - IJCRT2403834
Register Paper ID - 253046
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2403834 and DOI : http://doi.one/10.1729/Journal.38641
Author Country : Indian Author, India, 583105 , Ballari, 583105 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2403834 Published Paper PDF: download.php?file=IJCRT2403834 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2403834.pdf
Title: THE EMERGING TRENDS IN INDIAN UNIVERSITY LIBRARY SERVICES: A SYSTEMATIC REVIEW
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.38641
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: g976-g982
Year: March 2024
Downloads: 71
E-ISSN Number: 2320-2882
Abstract: This review-based article provides an overview of Indian university libraries and their evolution. Academic libraries in India have transformed from book repositories to dynamic learning spaces facilitating access, research, and knowledge creation. Rapid technological advancements have led to automation, extensive digital resources, and global partnerships. E-books, journals, institutional repositories, digital libraries, and consortia arrangements have expanded learning opportunities. Initiatives like Shodhganga, e-PG Pathshala, and NLIST have enabled access to e-content. Libraries now focus on user-centricity, providing customized services, mobile apps, virtual reference, and information literacy instruction. Open access is a priority, with institutional repositories and publishing funds. New services include research data management, IP rights support, maker spaces, innovation labs, and sustainability initiatives. Continuous assessment and staff development enable improvement. However, libraries face challenges like budget cuts and adopting emerging technologies like AI, VR and IoT. Advocacy for funding support and policy frameworks is required to reinvent libraries as future hubs of learning, technology, and scholarship
Licence: creative commons attribution 4.0
Emerging, India, Libraries, Services, Universities.
Paper Title: Video Game Addiction in Machine learning using decision tree classifier
Author Name(s): N. Bhanu Prakash, K. Jyonath, K. Prasanth, K. Pavan Manikanta, P.Srinu Vasarao
Published Paper ID: - IJCRT2403833
Register Paper ID - 252134
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2403833 and DOI :
Author Country : Indian Author, India, 534275 , Narsapuram, 534275 , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2403833 Published Paper PDF: download.php?file=IJCRT2403833 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2403833.pdf
Title: VIDEO GAME ADDICTION IN MACHINE LEARNING USING DECISION TREE CLASSIFIER
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: g971-g975
Year: March 2024
Downloads: 101
E-ISSN Number: 2320-2882
Video games are immensely popular and played particularly among teens, young adults and any aged groups.Video game addiction is also known as gaming disorder or internet gaming disorder, generally defined as a psychological and mental addictionby repetitive use of the Internet to play games frequently with different gamers, potentially leading to negative consequences in many aspects of life. Some players become more concerned with their interactions in the game than in their broader lives playing video games for extremely long periods of time.Video game addiction may have both short and long-term impacts on gamersand also it has become a serious public health issue with increased prevalence. Themostdebates surrounding the potential effects of video game engagement are focused on the mental health. It resultsan individual's ability to function in various life domains over a prolonged period of time.Parental and governmentconcern to remove or ban addictivepropertiesfor causing deviancyfrom video games. The main objective of this article is to know how games impact on lives and how often games are played among any aged groups
Licence: creative commons attribution 4.0
Addiction, internet gaming disorder,compulsive gambling,mental disorder, conduct disorder
Paper Title: Intensification of Pecuniary Affluence in Colonial Odisha: An Inventiveness of Madhu Babu
Author Name(s): Dr. Snigdha Acharya
Published Paper ID: - IJCRT2403832
Register Paper ID - 253612
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2403832 and DOI :
Author Country : Indian Author, India, 757086 , Baripada, 757086 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2403832 Published Paper PDF: download.php?file=IJCRT2403832 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2403832.pdf
Title: INTENSIFICATION OF PECUNIARY AFFLUENCE IN COLONIAL ODISHA: AN INVENTIVENESS OF MADHU BABU
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: g962-g970
Year: March 2024
Downloads: 32
E-ISSN Number: 2320-2882
Madhusudan Das was dedicated to the welfare of the people and development of the economy of Odisha. He had some ideas for economic change and developments which still have innumerable values for today's Odisha He was one of the early pioneers who laid the foundation of planned economic growth. He was of the view that economic emancipation was the prerequisite for political independence of the country. He nourished the view that the development of indigenous industries was the key to economic regeneration and self-rule.
Licence: creative commons attribution 4.0
Self-rule, Swaraj, Economic-change, Odisha Artware, Utkala Tenary.