PH: +91-9888934889 E-Mail: editornrjitis@gmail.com ISSN: 2350-1278

National Research Journal of Information Technology & Information Science

An International Reputed Peer Reviewed Refereed Research Journal I Open Access Journal I Impact Factor: 7.9
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NRJITIS - National Research Journal of Information Technology & Information Science


About The Journal


The National Research Journal of Information Technology and Information Science (NRJITIS) (ISSN: 2350-1278)  is a peer reviewed Journal academic publication dedicated to advancing research and knowledge in the fields of Information Technology (IT) and Information Science. The journal serves as a platform for scholars, practitioners, and industry professionals to share innovative research findings, emerging technologies, and practical applications. It covers a broad range of topics including data science, cybersecurity, artificial intelligence, software engineering, information systems, digital transformation, and human-computer interaction & Library Sciences and other multidisciplinary related topics. The journal aims to foster interdisciplinary collaboration and contribute to the evolving landscape of IT and information science through high-quality, original research.

The Journal is Published By "National Press Associates"

  • Publisher Website: www.npajournals.org
  • Journal Name: National Research Journal of Information Technology and Information Science
  • ISSN: 2350-1278
  • Impact Factor: 7.9
  • Peer Review Process: Double Blind Peer Review Process
  • Low Article Processing Fees
  • Frequency of Publication: Biannual (2 Issues Per Year)
  • Languages: English
  • Accessibility: Open Access
  • Plagiarism Checker: Turnitin

The journal invites submission of manuscripts that meet the general criteria of significance and scientific excellence, and will publish:

  1. Original articles (research paper, short communications, etc)
  2. Review articles
  3. Conference reports
  4. Book reviews, etc.

Interested in submitting to this journal? We recommend that you review the About the Journal page for the journal's section policies, as well as the Author Guidelines.

Journal Email ID: editornrjitis@gmail.com

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Current Issue

Year: 2026   Volume-13, Issue-1 (January-June)

Paper Title AWARENESS AND USE OF HEALTH INFORMATION RESOURCES BY FEMALE STAFF IN UNIVERSITIES OF PUNJAB AND CHANDIGARH
Author Name Satinderbir Kaur, NavkiranKaur
Country India
DOI https://doi.org/10.5281/zenodo.18322825
Page No. 1-22

Abstract View PDF Download Certificate
AWARENESS AND USE OF HEALTH INFORMATION RESOURCES BY FEMALE STAFF IN UNIVERSITIES OF PUNJAB AND CHANDIGARH
Author: Satinderbir Kaur, NavkiranKaur

The health of the population constitutes the foremost asset of any state. Essential needs such as healthcare, adequate nutrition and education are as vital as fundamental rights in a democratic country like India. However, despite decades of independence, India’s healthcare system has progressed at a relatively slow pace. This sluggish development can be attributed to several factors, including insufficient investment in the health sector, widespread illiteracy, weak economic conditions, and limited public awareness regarding the significance of good health as well as existing government health schemes and services. Rapid population growth, lack of safe drinking water, environmental pollution, poor sanitation, and unbalanced dietary practices further contribute to the country’s health challenges. Another major reason for poor health outcomes is the underdeveloped public health infrastructure. Although both central and state governments have launched numerous health programs and schemes over time, many have failed due to inadequate implementation, weak planning, low public awareness, and the absence of effective grievance redressal mechanisms. Additionally, insufficient access to reliable health information and limited awareness of appropriate health information resources remain critical issues.

Paper Title INTEGRATION OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE: A SYSTEMATIC APPROACH
Author Name Ravindra Kumar Vishwakarma & Harsh Kumar
Country India
DOI https://doi.org/10.5281/zenodo.18360656
Page No. 23-29

Abstract View PDF Download Certificate
INTEGRATION OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE: A SYSTEMATIC APPROACH
Author: Ravindra Kumar Vishwakarma & Harsh Kumar

ABSTRACT
Artificial Intelligence (AI) and Data Science (DS) have come together as a single paradigm for intelligent, data-driven decision making as a result of the quick development of computer technology. While data science concentrates on data collection, processing, statistical analysis, and knowledge extraction, artificial intelligence offers algorithms with learning,
reasoning, and automation capabilities. Research and industrial practices in the fields of healthcare, finance, environmental sciences, smart cities, and education have all changed as a result of the integration of these two domains. This review paper offers a methodical, researcher-focused examination of the combination of data science and artificial intelligence.
Conceptual underpinnings, methodological frameworks, tools and technologies, important application fields, difficulties, ethical issues, and future research prospects are all covered. The purpose of the publication is to provide researchers, academics, and practitioners working in the nexus of AI and data science with a thorough reference.

Keywords: Artificial Intelligence, Data Science, Machine Learning, Big Data Analytics, Deep Learning, Intelligent Systems

Paper Title MACHINE LEARNING AND DEEP AUTOENCODERS FOR ZERO-DAY CYBER-ATTACK DETECTION: A REVIEW
Author Name Reena
Country India
DOI https://doi.org/10.5281/zenodo.18429541
Page No. 30-39

Abstract View PDF Download Certificate
MACHINE LEARNING AND DEEP AUTOENCODERS FOR ZERO-DAY CYBER-ATTACK DETECTION: A REVIEW
Author: Reena

ABSTRACT
The high rate of Internet of Things (IoT) technologies and networks development has greatly exposed businesses to advanced cyber-attacks, especially zero-day attacks that use the vulnerabilities that were unfamiliar before. Because they rely on established patterns, standard signature-based intrusion detection systems (IDS) are unable to identify such attacks. This paper presents a strong deep learning-based intrusion detection model which uses the autoencoder designs to detect network behavior that is abnormal. The model can effectively detect deviation of normal traffic that can be viewed as a symptom of a zero-day attacks by learning representations of normal traffic, but the model keeps the false-negative
rates at a minimum. Evaluation of the suggested approach is performed with the help of benchmark datasets, i.e. NSL-KDD, CICIDS2017, and IoT-based traffic gathering and contrasted with conventional machine learning techniques like One-Class Support Vector Machines. The results of the experiment prove that the models using autoencoders have better
detection accuracy, recall and F1-scores, especially in complicated and low-volume attack conditions. The results confirm that deep autoencoders are an appropriate choice in scalable, adaptive, and high-performance zero-day intrusion detection in contemporary IoT and cyberphysical network settings.

Keywords: Zero-Day attacks; Intrusion Detection Systems (IDS); Deep learning; Autoencoders; Anomaly Detection; machine learning.

Paper Title ALGORITHMIC MANAGEMENT AND AI IN HUMAN RESOURCE PRACTICES: OPPORTUNITIES, CHALLENGES, AND IMPLICATIONS
Author Name Harsimrat Deo
Country India
DOI https://doi.org/10.5281/zenodo.18490800
Page No. 40-49

Abstract View PDF Download Certificate
ALGORITHMIC MANAGEMENT AND AI IN HUMAN RESOURCE PRACTICES: OPPORTUNITIES, CHALLENGES, AND IMPLICATIONS
Author: Harsimrat Deo

ABSTRACT
The inclusion of Artificial Intelligence (AI) and algorithmic management in human resources (HR) has restructured new workforce dynamics and organisation design, transforming how work is organised and performed in the digital age. Drawing on these theoretical perspectives, the present study examines the multi-dimensional impact of AI on HR, focusing on recruitment and selection, performance appraisal, workplace monitoring, employee
engagement, and well-being. Utilising sociotechnical systems theory and synthesising over 50 recent references and empirical research articles, the paper offers an integrated and critical discussion of the implications and ethical issues of the rise of algorithmic HR systems. It discusses how AI-powered solutions can improve decision quality, streamline administrative
tasks and support data-driven talent management decisions. At the same time, it draws attention to concerns such as algorithmic bias, opaque decision-making processes, psychological contract breaches, and the risk of eroding the trust and autonomy of workers. Applying an integrated conceptual lens, which draws on the augmentation-automation paradox, machine learning fairness, and algorithmic transparency principles, we map out routes towards a more inclusive, equitable, and ethically responsible use of AI in HRM. This work has implications for managers, policymakers, and technology developers who seek to reconcile efficiency with human-centric values in the era of innovative technologies.

Keywords: Artificial Intelligence, Algorithmic Management, Human Resource Management, Ethical Implications, Workforce Transformation

Editorial Policy About Peer Reviewed Journal Publication Ethics & Practices Plagiarism Policy Open Access, Licencing & Copyright Disclaimer Policy Privacy Policy FAQ Special Issue About The Journal

Latest Announcements

  • CALL FOR PAPERS 2025 (January-June)

    01-01-2025
    SUBMIT PAPERS IN OUR RESEARCH JOURNAL! 2025
    National Research Journal of Information Technology and Information Science  contributes in the growth and application of Research & Technology, by delivering the latest information contained in research papers, which enables them to enhance understanding for advancements in research activities. We intends to Disseminate and promote the research works of research scholars, Academia.

  • Subscribe This Journal

    01-01-2025
    We Request to Subscribe our Journals for the Noble Cause to Spread Knowledge, Wisdom and also to Protect Intellectual Property Rights of Scholars Across the World.

    Subscription Price: 3500/- (Bi-Annual)

    CALL NOW!
    +91-9888934889, 7986925354

Publish
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Or Seminar
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Read More

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