IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.
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(CrossRef DOI)
| IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: "The Evolution and Impact of E-Content Management in Modern Libraries"
Author Name(s): 1. Mr. Prakash S. Gadekar,, Dr. Vandana Shelar
Published Paper ID: - IJCRT2503149
Register Paper ID - 278641
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2503149 and DOI :
Author Country : Indian Author, India, 411046 , pune, 411046 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2503149 Published Paper PDF: download.php?file=IJCRT2503149 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2503149.pdf
Title: "THE EVOLUTION AND IMPACT OF E-CONTENT MANAGEMENT IN MODERN LIBRARIES"
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 3 | Year: March 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 13
Issue: 3
Pages: b281-b287
Year: March 2025
Downloads: 251
E-ISSN Number: 2320-2882
This paper explores the development and importance of e-content management in contemporary libraries, focusing on its impact on accessibility, sustainability, and user experience. As libraries continue to embrace digital resources like e-books and multimedia, the need for efficient management becomes crucial to ensure seamless access and long-term preservation. The study delves into essential workflows and best practices, including centralized repositories, content creation, and multimedia optimization. Ultimately, it underscores how effective e-content management fosters collaboration and supports libraries' missions in the digital age.
Licence: creative commons attribution 4.0
E-content, Content Management, Types of e-content
Paper Title: An Analytical Study of Indian Defence Industry
Author Name(s): Daksha
Published Paper ID: - IJCRT2503148
Register Paper ID - 277978
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2503148 and DOI :
Author Country : Indian Author, India, 400066 , Borivali (East), 400066 , | Research Area: Medical Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2503148 Published Paper PDF: download.php?file=IJCRT2503148 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2503148.pdf
Title: AN ANALYTICAL STUDY OF INDIAN DEFENCE INDUSTRY
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 3 | Year: March 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Medical Science All
Author type: Indian Author
Pubished in Volume: 13
Issue: 3
Pages: b271-b280
Year: March 2025
Downloads: 241
E-ISSN Number: 2320-2882
India has created phenomena in defence industry since 2014. The Modi government has taken a number of measures to boost India's arms sector and reduce its dependence on imports. The reform efforts implemented under the overall make in India project and the Atmanirbhar Bharat Abhiyan address institutional, procedural, industrial, and financial components of the defence industry. Though industry is rising very fast still have a many challenges like technological dependency, tough international competition and less Research & Development expenses on innovations. Government should more comprehensive measures to make our defence industry successful at global competent. This paper is focusing on "An Analytical study of Indian Defence Industry". Researchers found that under Aatmnirbhar Bharat Indian defence industry achieved many mile stones. India has changed its status from world highest importer to exporter. Due to FDI and PPP model will be useful to achieve the target of self-realization in defence.In near future Indian defence industry would be a play vital role in world defence industry.
Licence: creative commons attribution 4.0
Defence, Reforms, Aatmnirbhar, Performance, Goverment Policy, Make in India
Paper Title: Lung Cancer Classification Using Deep Learning: An Optimized CNN Approach
Author Name(s): Harshal Papal, Madhura Mhatre, Rohan Patil, Suhail Pathan, Balaji chaugule
Published Paper ID: - IJCRT2503147
Register Paper ID - 278573
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2503147 and DOI :
Author Country : Indian Author, India, 411046 , pune, 411046 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2503147 Published Paper PDF: download.php?file=IJCRT2503147 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2503147.pdf
Title: LUNG CANCER CLASSIFICATION USING DEEP LEARNING: AN OPTIMIZED CNN APPROACH
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 3 | Year: March 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 13
Issue: 3
Pages: b261-b270
Year: March 2025
Downloads: 261
E-ISSN Number: 2320-2882
: Lung cancer is one of the most prevalent and life-threatening diseases worldwide, contributing to a significant number of cancer-related deaths. Early detection is crucial in improving survival rates, yet traditional diagnostic methods such as biopsies and CT scans can be both time-consuming and require specialized expertise. With the rise of deep learning, Convolutional Neural Networks (CNNs) have emerged as a powerful tool in medical imaging, enabling automated and accurate classification of lung cancer from medical scans. This study presents an optimized CNN model, trained using the NIH Lung Image dataset, with enhanced preprocessing and hyperparameter tuning to maximize accuracy. The results indicate that the proposed approach can classify lung cancer efficiently, potentially assisting medical professionals in making faster and more reliable diagnoses.
Licence: creative commons attribution 4.0
Lung Cancer Detection, Convolutional Neural Network (CNN), Deep Learning, Medical Image Processing, Classification
Paper Title: STOCK PRICE ALERT SYSTEM
Author Name(s): Dr. Orchu Aruna, Mannava Amarnath, Bojja Revanth Kumar, Prathipati Joseph, Konda Vinay Kumar
Published Paper ID: - IJCRT2503146
Register Paper ID - 278439
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2503146 and DOI :
Author Country : Indian Author, India, 522508 , Guntur, 522508 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2503146 Published Paper PDF: download.php?file=IJCRT2503146 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2503146.pdf
Title: STOCK PRICE ALERT SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 3 | Year: March 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 13
Issue: 3
Pages: b255-b260
Year: March 2025
Downloads: 356
E-ISSN Number: 2320-2882
In the fast-paced world of stock trading, staying updated with real-time stock prices is crucial for traders to make informed decisions. However, manually monitoring stock prices can be time-consuming and inefficient, especially for daily traders who need to track multiple stocks simultaneously. This project introduces the Stock Price Alert System, a web-based platform designed to provide traders with real-time SMS alerts when stock prices reach predefined thresholds set by the user. By leveraging real-time stock data and integrating it with an SMS notification system, the platform ensures that traders are always informed about critical price movements, enabling them to act swiftly and capitalize on market opportunities. The system is built using modern web technologies and integrates with reliable stock market APIs to fetch real-time data. The results demonstrate the system's ability to deliver timely and accurate alerts, making it an indispensable tool for traders.
Licence: creative commons attribution 4.0
Stock Price Alert, Real-Time Notifications, SMS Alerts, Stock Market, Web-Based Platform, Trader Tools.
Paper Title: Social Media aur Yuva Vidhyarthi: Samajik aur Sanskritik Parivartano ka Samajshastriy Adhyayan
Author Name(s): Jitendra Alok Prasad Prajapati, Dr. Aalok
Published Paper ID: - IJCRT2503145
Register Paper ID - 278671
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2503145 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2503145 Published Paper PDF: download.php?file=IJCRT2503145 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2503145.pdf
Title: SOCIAL MEDIA AUR YUVA VIDHYARTHI: SAMAJIK AUR SANSKRITIK PARIVARTANO KA SAMAJSHASTRIY ADHYAYAN
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 3 | Year: March 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 13
Issue: 3
Pages: b239-b254
Year: March 2025
Downloads: 228
E-ISSN Number: 2320-2882
Social media aur yuva vidhyarthi: samajik aur sanskritik parivartano ka samajshashtriy adhayan
Licence: creative commons attribution 4.0
Social media aur yuva vidhyarthi: samajik aur sanskritik parivartano ka samajshashtriy adhayan
Paper Title: Malicious URL Detection Using Machine Learning
Author Name(s): Krish K Mehta, Dhanashree Tribhuvan
Published Paper ID: - IJCRT2503144
Register Paper ID - 278569
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2503144 and DOI :
Author Country : Indian Author, India, 411037 , pune, 411037 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2503144 Published Paper PDF: download.php?file=IJCRT2503144 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2503144.pdf
Title: MALICIOUS URL DETECTION USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 3 | Year: March 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 13
Issue: 3
Pages: b234-b238
Year: March 2025
Downloads: 268
E-ISSN Number: 2320-2882
ABSTRACT The Malicious Link Predictor (MLD) presented in this abstract is an innovative cybersecurity solution designed to combat the escalating threats posed by malicious links in digital environments. Leveraging advanced machine learning algorithms and real-time analysis, the MLD excels in accurately identifying and neutralizing harmful links across diverse online platforms. Key features include comprehensive feature extraction, considering URL structure, content analysis, and behavioral patterns. A dynamic machine learning model, trained on a diverse dataset of malicious and benign links, ensures adaptability to evolving cyber threats.The MLD's real-time analysis component processes links promptly, minimizing detection latency and enhancing user protection. Integrated behavioral analysis tracks user interactions, contributing to the system's ability to identify anomalous behavior associated with malicious links. Continuous learning mechanisms, including threat intelligence integration and user feedback loops, further fortify the MLD against emerging risks.
Licence: creative commons attribution 4.0
Cyber security , Machine learning , Deep learning , Support vector machine ,Real time analysis
Paper Title: "Enrolment trend among the Government Higher Secondary School Students in Hamirpur district of Himachal Pradesh"
Author Name(s): Dr. Ajay Kumar
Published Paper ID: - IJCRT2503143
Register Paper ID - 278541
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2503143 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2503143 Published Paper PDF: download.php?file=IJCRT2503143 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2503143.pdf
Title: "ENROLMENT TREND AMONG THE GOVERNMENT HIGHER SECONDARY SCHOOL STUDENTS IN HAMIRPUR DISTRICT OF HIMACHAL PRADESH"
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 3 | Year: March 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 13
Issue: 3
Pages: b225-b233
Year: March 2025
Downloads: 240
E-ISSN Number: 2320-2882
The main aim of this paper is to study the enrolment trend among the government higher secondary school students in Hamirpur district of Himachal Pradesh. To fulfill this aim, data is taken from the secondary source and make a comparison of the enrolment trend of boys and girls students along with their stream at higher secondary level. The results of the study showed that, there is a slight declining trend in enrolment among the girls and increasing trend in case of boys. Apart from this, it is revealed from the study that, boys preferred commerce stream as compared to the arts and science stream, whereas girls mostly preferred science stream at higher secondary level.
Licence: creative commons attribution 4.0
Higher Secondary Stage, enrolment percentage
Paper Title: Kishore vidyarthiyo ki samajik sakshmata (sampreshan kaushal) par unke trigun vayktitav ke prabhav ka adhyan
Author Name(s): Dr. Rajat Kumar Jain, Dr.Banita Sinha, Deepmla Banjare
Published Paper ID: - IJCRT2503142
Register Paper ID - 278704
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2503142 and DOI :
Author Country : Indian Author, India, 491001 , Durg, 491001 , | Research Area: Others area Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2503142 Published Paper PDF: download.php?file=IJCRT2503142 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2503142.pdf
Title: KISHORE VIDYARTHIYO KI SAMAJIK SAKSHMATA (SAMPRESHAN KAUSHAL) PAR UNKE TRIGUN VAYKTITAV KE PRABHAV KA ADHYAN
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 3 | Year: March 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Others area
Author type: Indian Author
Pubished in Volume: 13
Issue: 3
Pages: b216-b224
Year: March 2025
Downloads: 385
E-ISSN Number: 2320-2882
Kishore vidyarthiyo ki samajik sakshmata (sampreshan kaushal) par unke trigun vayktitav ke prabhav ka adhyan ???????? ??? ?? ????? ???????? ????????????? ?? ??????? ??????? (????????? ????) ?? ???? ??????? ?????????? ?? ?????? ?? ?????? ???? ??? ???????? ?????? ???? ???????? ?? ??? ??? ????? ???? ?? ??? ??????????? (?????, ???? ??? ????) ?? ??????? ??? ???? ?????? ???????? ?????????? ?? 600 ????????????? (????? ??? ????????) ?? ????????? ??? ?? ??? ???? ??? ??? ???????? ?????? ??? ????? ?? ??? ??? ??????? ??????? ?? ???? ???? ??. ?????? ??, ??. ????? ?? ??? ??. ???? ?????? (2012) ??????? ??????? ?????? ????? ??? ??????? ?????????? ???? ???? ??. ????? ????? ??? ?????? ???? (2013) ?????? ??????? ?????????? ????????? ???????? ?? ?????? ???? ??? ??? ????? ????????????? ?? ??????? ????? ?? ??????? ???? ???? ?????????? ????? ???? ??? ??? ??????????? ?? ??????? ?? ??? ????????? ?????? ???????? ?? ????? ??? 3X2X2 ??????? ???? ???? ???????? ?????? ?? ?????? ??? ??????? ?????????? ?? ????????? ???? ?? ?????? ?????? ???? ??? ??? ???? ??? ??????? ?? ????????? ???? ?? ?????? ?????? ???? ????
Licence: creative commons attribution 4.0
Kishore vidyarthiyo ki samajik sakshmata (sampreshan kaushal) par unke trigun vayktitav ke prabhav ka adhyan
Paper Title: Noam Chomsky's Concept of Justice: A Philosophical Critique of Power, Language, and Moral Responsibility
Author Name(s): Dr. Rubi Das (Chakraborty)
Published Paper ID: - IJCRT2503141
Register Paper ID - 278608
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2503141 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2503141 Published Paper PDF: download.php?file=IJCRT2503141 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2503141.pdf
Title: NOAM CHOMSKY'S CONCEPT OF JUSTICE: A PHILOSOPHICAL CRITIQUE OF POWER, LANGUAGE, AND MORAL RESPONSIBILITY
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 3 | Year: March 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 13
Issue: 3
Pages: b206-b215
Year: March 2025
Downloads: 376
E-ISSN Number: 2320-2882
Noam Chomsky's concept of justice emerges from his deep-seated critique of power, language, and moral responsibility. While widely recognized for his groundbreaking work in linguistics, Chomsky's political philosophy offers a radical challenge to institutionalized power structures, economic inequality, and media manipulation. His anarchist ideals emphasize individual autonomy, participatory democracy, and resistance against authoritarianism, positioning justice as a process of continuous struggle rather than a static legal or political framework. This paper critically examines how Chomsky's views on justice are shaped by his theory of manufactured consent, which reveals the ways in which language is used to sustain power hierarchies and distort public discourse. By analysing his critique of neoliberalism, state violence, and corporate dominance, this study highlights Chomsky's argument that true justice requires dismantling oppressive institutions and fostering structures that promote collective well-being and moral responsibility. His vision of justice is not merely theoretical but also deeply practical, calling for activism, intellectual engagement, and ethical responsibility in confronting systemic injustices. Additionally, this paper situates Chomsky's concept of justice within broader philosophical traditions, comparing his ideas with classical and contemporary theories of justice, including those of John Rawls, Karl Marx, and Michel Foucault. While Chomsky's libertarian socialist framework departs from traditional Western models, it provides a compelling critique of existing power structures and offers a morally grounded approach to justice. By bridging philosophy, linguistics, and political theory, Chomsky's work challenges us to rethink the foundations of justice in contemporary society. This study aims to critically engage with his insights, assessing their relevance and applicability in addressing modern global crises related to human rights, democracy, and economic inequality.
Licence: creative commons attribution 4.0
Noam Chomsky, justice, power, language, moral responsibility, anarchism, media, democracy.
Paper Title: Understanding the Impact of Emotional Intelligence on Learning Outcomes: A Theoretical Analysis
Author Name(s): Laxman Singh
Published Paper ID: - IJCRT2503140
Register Paper ID - 278676
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2503140 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2503140 Published Paper PDF: download.php?file=IJCRT2503140 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2503140.pdf
Title: UNDERSTANDING THE IMPACT OF EMOTIONAL INTELLIGENCE ON LEARNING OUTCOMES: A THEORETICAL ANALYSIS
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 3 | Year: March 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 13
Issue: 3
Pages: b195-b205
Year: March 2025
Downloads: 239
E-ISSN Number: 2320-2882
Emotional intelligence (EI), defined as the ability to identify, understand, manage, and regulate emotions, has emerged as a critical elementmanipulating learning outcomes. This paper explores the theoretical foundations of EI, its dimensions, and its effect on cognitive and socio-emotional learning. Drawing from current research, the analysis highlights how EI nurtures self-awareness, emotional regulation, and interpersonal skills, creating aencouraging learning surroundings. The study also investigates the interaction between EI and academic performance, motivation, and collaborative learning. Recommendations are offered for incorporating EI into educational structures to improve holistic development of child. Future research directions are suggested to discourse gaps in realistic studies and expand understanding across various educational settings.
Licence: creative commons attribution 4.0
Emotional Intelligence, Learning Outcomes, Academic Performance, Socio-Emotional Learning, Holistic Development

