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: GREYWATER REUSE: A SUSTAINABLE SOLUTION FOR WATER CRISIS
Author Name(s): Mayur Manoj Deore, Aniket Vijay Pingale, D.G.Bagul
Published Paper ID: - IJCRT24A3217
Register Paper ID - 254283
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3217 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3217 Published Paper PDF: download.php?file=IJCRT24A3217 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3217.pdf
Title: GREYWATER REUSE: A SUSTAINABLE SOLUTION FOR WATER CRISIS
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: k296-k301
Year: March 2024
Downloads: 74
E-ISSN Number: 2320-2882
a sustainable greywater filtration system for residential-scale water reuse. Recycled greywater can be used in toilet water, outdoor irrigation, car washing, and clothes washing, reducing the demand for potable water. Although pilot-scale systems have been demonstrated for greywater recycling, residential-scale applications remain unexplored, as treatment options on a residential scale are limited. It used several filtration methods, including micron, mineral sand, activated carbon, and ultraviolet disinfection. Multi-phase water testing was conducted to evaluate pH, turbidity, chemical oxygen demand, total organic carbon, and total nitrogen. The prototype proved capable of functioning in a real-world setting and filtering water to meet several non-potable urban reuse standards. This survey intends to discover the different treatment for grey water by breaking down the grey water attributes, reuse gauges, execution and cost.
Licence: creative commons attribution 4.0
Greywater,Reuse,Standards,TreatmentTechnologies,Waterscarcity
Paper Title: Corporate Social Responsibility in Transnational Corporations: Balancing Profitability and Human Rights Compliance in a Globalized Economy
Author Name(s): Manya
Published Paper ID: - IJCRT24A3216
Register Paper ID - 254249
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3216 and DOI :
Author Country : Indian Author, India, 201301 , Noida, 201301 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3216 Published Paper PDF: download.php?file=IJCRT24A3216 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3216.pdf
Title: CORPORATE SOCIAL RESPONSIBILITY IN TRANSNATIONAL CORPORATIONS: BALANCING PROFITABILITY AND HUMAN RIGHTS COMPLIANCE IN A GLOBALIZED ECONOMY
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: k280-k295
Year: March 2024
Downloads: 46
E-ISSN Number: 2320-2882
Corporate Social Responsibility (CSR) has evolved significantly over time. Initially, in the early 20th century, it primarily involved philanthropy and charitable contributions by corporations to communities. However, its modern form emerged in the 1950s and 1960s with a focus on the social and environmental impacts of business activities.
Licence: creative commons attribution 4.0
Paper Title: "Harmonizing Environmental Law And Sustainable Development Through Effective Environmental Impact Assessment"
Author Name(s): Sneha Singh Parihar
Published Paper ID: - IJCRT24A3215
Register Paper ID - 249610
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3215 and DOI :
Author Country : Indian Author, India, 452010 , Indore, 452010 , | Research Area: Medical Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3215 Published Paper PDF: download.php?file=IJCRT24A3215 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3215.pdf
Title: "HARMONIZING ENVIRONMENTAL LAW AND SUSTAINABLE DEVELOPMENT THROUGH EFFECTIVE ENVIRONMENTAL IMPACT ASSESSMENT"
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Medical Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: k276-k279
Year: March 2024
Downloads: 84
E-ISSN Number: 2320-2882
In the quest for a balanced coexistence between economic development and environmental preservation, this research explores the dynamic relationship between environmental law, sustainable development, and the pivotal role of Environmental Impact Assessment (EIA). By examining international and national legal frameworks, the study investigates evolving principles that guide the intersection of law and sustainability. Emphasizing the importance of striking a harmonious balance, the paper delves into the critical function of EIAs in evaluating potential environmental impacts associated with developmental projects. Through case studies and analysis, it identifies best practices, challenges, and recommends strategies to strengthen legal frameworks, fostering a comprehensive approach to achieving sustainable development goals. This research aims to contribute valuable insights to the ongoing discourse on reshaping environmental laws for a resilient and ecologically sound future.
Licence: creative commons attribution 4.0
EIA (Environmental impact assessment), SDG(sustainable development goal) Eco centric approach, environmental jurisprudence, Anthropocentrism
Paper Title: Machine Learning for Respiratory Disease Diagnosis and Monitoring: A Survey of Recent Advances
Author Name(s): Kaviarasu S, Dr. S. Mangai
Published Paper ID: - IJCRT24A3214
Register Paper ID - 250369
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3214 and DOI :
Author Country : Indian Author, India, 638057 , erode, 638057 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3214 Published Paper PDF: download.php?file=IJCRT24A3214 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3214.pdf
Title: MACHINE LEARNING FOR RESPIRATORY DISEASE DIAGNOSIS AND MONITORING: A SURVEY OF RECENT ADVANCES
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: k246-k275
Year: March 2024
Downloads: 73
E-ISSN Number: 2320-2882
Respiratory diseases, such as asthma and chronic obstructive pulmonary disease (COPD), are a major global health concern, affecting millions of people worldwide. Traditional methods for diagnosing and monitoring respiratory conditions often rely on invasive procedures, such as spirometry, which can be inconvenient and uncomfortable for patients. In recent years, there has been a growing interest in developing non-invasive and user-friendly methods for respiratory disease diagnosis and monitoring. Machine learning (ML) has emerged as a powerful tool for analyzing large amounts of data and identifying patterns that can be used to predict and classify respiratory conditions. ML algorithms have been successfully applied to a variety of tasks in respiratory medicine, including asthma risk prediction, classification of respiratory sounds, and automatic detection of respiratory events. In this review paper, the recent advance in ML-based methods for respiratory disease diagnosis and monitoring is discussed. The papers of Asthma risk prediction, Classification of respiratory sounds and Automatic detection of respiratory events are focused on. ML has the potential to make a significant contribution to the fight against respiratory diseases. By developing and deploying ML-based methods for respiratory disease diagnosis and monitoring, the quality of care for patients with these conditions has improved and improves the burden of respiratory diseases on healthcare systems.
Licence: creative commons attribution 4.0
Respiratory Disease diagnosis, Respiratory Disease Monitoring, A Survey of Recent Advances
Paper Title: BIONIC EYE MODEL TO PROVIDE VISION OR RESTORE SIGHT FOR BLINDNESS USING VISION TRANSFORMER
Author Name(s): Mrs.Vijaya Lakshmi D M, Nishandhini A, Prathika L, Sangeetha S
Published Paper ID: - IJCRT24A3213
Register Paper ID - 254173
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3213 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3213 Published Paper PDF: download.php?file=IJCRT24A3213 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3213.pdf
Title: BIONIC EYE MODEL TO PROVIDE VISION OR RESTORE SIGHT FOR BLINDNESS USING VISION TRANSFORMER
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: k238-k245
Year: March 2024
Downloads: 57
E-ISSN Number: 2320-2882
This research addresses the challenges faced by visually impaired individuals in recognizing people, interpreting facial expressions, and engaging in social activities. Current visual implant systems, like the RPS, suffer from low resolution phosphene images, limiting their effectiveness in artificial vision solutions. To overcome these limitations, our project introduces a pioneering VT-based approach, adapting a deep learning architecture for natural image recognition. Our innovative method utilizes the VT to extract and process crucial information from the user's surroundings. By comprehending the visual environment, this system provides enhanced perception for visually impaired individuals, offering insights into count, familiarity, gender, estimated ages, facial emotions, surrounding objects, and approximate distances of individuals nearby. The integration of the VT into the artificial vision system aims to transcend the constraints of current technologies, providing visually impaired individuals with a transformative tool. This research not only contributes to the advancement of artificial vision but also has the potential to significantly enhance the quality of life for those with visual impairments.
Licence: creative commons attribution 4.0
Vision Transformer(VT),Retinal Prothesis System(RPS)
Paper Title: EVALUATING THE MECHANICAL PROPERTIES OF MAIZE FIBER AND PROSOPIS JULIFLORA REINFORCE POLYSTER RESIN COMPOSITES
Author Name(s): Dr.J.D.NALLASIVAM, SATHISH R, M SRIRAM, UDHAYA GURU S, VENGADESH P
Published Paper ID: - IJCRT24A3212
Register Paper ID - 254338
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3212 and DOI :
Author Country : Indian Author, India, 641004 , Coimbatore , 641004 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3212 Published Paper PDF: download.php?file=IJCRT24A3212 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3212.pdf
Title: EVALUATING THE MECHANICAL PROPERTIES OF MAIZE FIBER AND PROSOPIS JULIFLORA REINFORCE POLYSTER RESIN COMPOSITES
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: k226-k237
Year: March 2024
Downloads: 75
E-ISSN Number: 2320-2882
The compared to composite materials that are entirely synthetic, natural fibers are more affordable and more plentiful. The goal of the current work is to forecast the compressive and tensile properties of natural fiber-reinforced composite materials. The results were compared. The Prosopis Juliflora and Maize Fiber composite used in this experiment was made by hand utilizing the lay-up technique. Specimens were cut from the manufactured laminate in accordance with ASTM D 638 guidelines for the tensile test. Following that, the experiment is run through a universal testing machine (UTM). The tensile and compressive properties of the Prosopis Juliflora and Maize Fiber composite material were discussed based on the test findings. Because of their superior qualities, Prosopis Juliflora and Maize Fiber are widely utilized in a variety of engineering applications as a suitable substitute material.
Licence: creative commons attribution 4.0
NFRC, Prosopis Juliflora, hand-lay-up method, tensile & compressiveProperties, UTM,
Paper Title: Plastic Bottle Reverse Vending Machine
Author Name(s): Arjun Anand, Rahul.R, Hiran.H, Sooraj.K.S, Swetha.C
Published Paper ID: - IJCRT24A3211
Register Paper ID - 251861
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3211 and DOI :
Author Country : Indian Author, India, 678557 , Palakkad, 678557 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3211 Published Paper PDF: download.php?file=IJCRT24A3211 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3211.pdf
Title: PLASTIC BOTTLE REVERSE VENDING MACHINE
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: k221-k225
Year: March 2024
Downloads: 80
E-ISSN Number: 2320-2882
Reverse vending machines, strategically placed in public areas like train stations and airports, focus on collecting plastic water bottles and employ mobile applications to incentivize users. This innovative approach aims to boost recycling rates, particularly addressing the issue of plastic waste, and contributes to reducing the volume of water bottles ending up in landfills. The system not only minimizes energy consumption and greenhouse gas emissions but also plays a role in job creation and conserving valuable resources through plastic recycling. Operating with AI technology, these machines offer a user-friendly process for both individuals and the backend system. In essence, reverse vending machines promote recycling, contribute to waste reduction, and engage individuals in sustainable practices, emphasizing their crucial role in modern sustainability efforts.
Licence: creative commons attribution 4.0
Reverse Vending Machine, AI, modern sustainability.
Paper Title: an analysis of forensic accounting and its impact on companies
Author Name(s): SWAMINATHAN T.K, Rekha Gothe
Published Paper ID: - IJCRT24A3210
Register Paper ID - 252471
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3210 and DOI :
Author Country : Indian Author, India, 560061 , BENGALURU , 560061 , | Research Area: Commerce All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3210 Published Paper PDF: download.php?file=IJCRT24A3210 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3210.pdf
Title: AN ANALYSIS OF FORENSIC ACCOUNTING AND ITS IMPACT ON COMPANIES
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Commerce All
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: k213-k220
Year: March 2024
Downloads: 61
E-ISSN Number: 2320-2882
A vital tool for businesses everywhere, forensic accounting provides invaluable insights into financial abnormalities, fraud identification, and litigation support. This abstract explores the deep effects that forensic accounting has on businesses, emphasizing how important it is for preserving financial integrity, improving transparency, and reducing risks. A specialist area of accounting called "forensic accounting" is devoted to identifying financial irregularities, deciphering intricate transactions, and offering knowledgeable testimony in court. It is used by businesses in a wide range of industries, including as banking, insurance, government, and corporations. Businesses are using forensic accounting to strengthen their internal controls and compliance measures in a time of increased regulatory scrutiny and sophisticated financial crimes. Financial fraud identification and prevention is one of the main functions of forensic accounting in businesses. Forensic accountants can spot unlawful transactions, embezzlement, and suspicious activity by carefully reviewing financial records, analysing large amounts of data, and using forensic technological tools. Proactive steps like these assist businesses in reducing financial risks, protecting assets, and preserving investor confidence. Furthermore, forensic accounting is essential to assisting businesses in court cases and other dispute resolution situations. Forensic accountants act as expert witnesses, offering reliable analysis and proof to support claims in commercial litigation, regulatory inquiries, or accusations of financial malfeasance. Their competence, impartiality, and meticulous nature greatly aid in the settlement of legal issues and the advancement of justice.
Licence: creative commons attribution 4.0
forensic accounting, government, companies, corporations
Paper Title: ASSESSMENT OF MACHINE LEARNING APPLICATIONS IN BIOINFORMATICS
Author Name(s): SHAHEEN HAYAT
Published Paper ID: - IJCRT24A3209
Register Paper ID - 253781
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3209 and DOI :
Author Country : Indian Author, India, 110025 , JAMIA NAGAR, 110025 , | Research Area: Life Sciences All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3209 Published Paper PDF: download.php?file=IJCRT24A3209 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3209.pdf
Title: ASSESSMENT OF MACHINE LEARNING APPLICATIONS IN BIOINFORMATICS
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Life Sciences All
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: k202-k212
Year: March 2024
Downloads: 57
E-ISSN Number: 2320-2882
Biological processes are inherently complex, requiring an understanding not only of individual components but also of their intricate interconnections. Graphs, or networks, provide a natural framework for representing such relationships, enabling the depiction of both biological entities and their interactions. Recent advancements in high-throughput experimental technologies have led to an exponential increase in the generation of biological network data, which is now readily accessible to the scientific community through online databases facilitated by internet web services. Consequently, there is a growing demand for novel techniques to query, analyze, and process this wealth of data, with the aim of extracting insights into molecular biology, physiology, electronic health records, biological networks, and biomedicine as a whole. Machine learning, owing to its ability to effectively handle large datasets and generate accurate predictions using sophisticated statistical models, has emerged as a powerful tool for meeting these demands, promising rapid growth and widespread utilization in biomedical research.
Licence: creative commons attribution 4.0
Machine Learning; Biological Network; Bioinformatics Approach
Paper Title: AN OVERVIEW OF TREATMENT & MANAGEMENT CATARACT
Author Name(s): Bhand Pratik Anil, Hemant J. Pagar
Published Paper ID: - IJCRT24A3208
Register Paper ID - 252674
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3208 and DOI :
Author Country : Indian Author, India, 414001 , Ahmednagar, 414001 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3208 Published Paper PDF: download.php?file=IJCRT24A3208 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3208.pdf
Title: AN OVERVIEW OF TREATMENT & MANAGEMENT CATARACT
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: k188-k201
Year: March 2024
Downloads: 64
E-ISSN Number: 2320-2882
Today the incidence of diabetes mellitus is increasing devastatingly, and cataracts are one of the most common causes of visual impairment. Advances in cataract surgery techniques and instruments have generally improved outcomes. However, surgery may not be safe or effective for certain people with preexisting retinal disease or vision loss. Functional vision is essential in our everyday vision. Different tasks in our daily life use different parts of the visual system, which reflects our perspective in real-world situations where we need to see both small, high-contrast and large, low-contrast images. This review article addresses different aspects related to cataracts in people with diabetes. Most cataracts are caused by the aging of the eye lens, which continues to grow throughout life as new lens fibers continue to be laid down in the lens of the eye rather than replacing existing ones. It is maintained by many interdependent factors that contribute to optical homogeneity.
Licence: creative commons attribution 4.0
Cataract, Eye, Eye lens, Etiology, Surgery