journals

Exploring Bitcoin and Litecoin Volatility and Trends

Author(s): Deepak Gupta, Rambhateri*
Volume: 6 Issue: 1 Pages: 1409-1419
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02783


Abstract Cryptocurrencies are subject to thorough examination and discourse by numerous media outlets, venture capitalists, financial institutions, banking organizations, market stakeholders, and political entities worldwide. Cryptocurrencies are currently emerging as a new investment class, and this presents an opportunity to explore historically revealed properties of cryptocurrencies. Consumers or investors may use online wallets to buy, […]

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Learning-Based Framework with Optimizations for Enhancing Cyber Security in IoT Use Case

Author(s): BNV Madhu Babu*, N Pushpalatha, Subramanyam M Vadlamani, Moligi Sangeetha
Volume: 6 Issue: 1 Pages: 1393-1408
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02795


Abstract Internet of Things (IoT) technology and its applications have new cyberattacks requiring powerful and effective cybersecurity solutions. Although machine learning (ML) techniques are promising to defend cyberspace, most of them depend on predefined hyperparameters, which restrict their effectiveness in defending against a dynamic and evolving threat landscape. To tackle this, we introduce a learning-based

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Mapping the Intellectual Landscape of Mergers and Acquisitions: A Bibliometric Analysis

Author(s): Priya Yadav*, Shakti Singh
Volume: 6 Issue: 1 Pages: 1380-1392
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02342


Abstract This study will conduct a thorough bibliometric investigation to determine the intellectual foundations of mergers and acquisitions (MA). Furthermore, it will provide a framework for further studies in this field. A systematic procedure was carried out to find 672 articles from credible publications in the Scopus database by using a particular search query. Bibliographic

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The Neoliberal Appropriation of Feminist Ideas: A Critical Analysis of Gender Representation in Contemporary Media in India

Author(s): Sameera Khanam*, Mohd Uzair
Volume: 6 Issue: 1 Pages: 1373-1379
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02230


Abstract Historically, media have been instrumental in raising awareness and promoting gender equality, but with the advent of neoliberalism, its transformative potential is diverted. This paper examines the role of media in shaping discourse around gender issues, particularly in the context of neoliberalism. The paper provides commentary on the current discourse on gender in media,

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The Future of Wastewater Treatment Plant: Integrating HCNN-BiGRU-A Model for Superior Performance

Author(s): Syed Mohd Faisal, Siddharth Shankar Jadhav, Aman Ahlawat, Mohammad Shabbir Alam, Rama Krishna B, Radha Ranjan, Bhoopathy V*
Volume: 6 Issue: 1 Pages: 151-161
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02213


Abstract Many canals carry wastewater into the community. Chemicals and microorganisms in water supply contamination cause effluent that harms humans and the environment. Unregulated waste water disposal can spread infectious hepatitis, cholera, typhoid, and dysentery. Sanitary waste water disposal protects public health and prevents infectious diseases. Integrated food waste and waste water treatment modeling is

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The Impact of Human Resource Practices on Organizational Performance: The Mediating Role of Work Engagement

Author(s): Kavitha SR*
Volume: 6 Issue: 1 Pages: 213-225
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02661


Abstract The paper shows the mediation role played by the work engagement of human resource practices in organisational performance. The human resource practices considered include recruitment, training and development, performance management, and employee engagement; these were pivotal drivers toward good organisational culture and for more desirable results in the sphere of performance in this evidence.

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FLNCVD-net: COVID-19 Detection Using Chest X-rays

Author(s): Anny Leema A, Venkat Mukthineni, Rahul Mukthineni, P Balakrishnan*
Volume: 6 Issue: 1 Pages: 199-212
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02472


Abstract This research work proposes faster alternative ways of predicting the Coronavirus Disease 2019 (COVID-19) infection in the patient’s body. Firstly, this research work proposes a transfer learning-based solution methodology that trains the following models, VGG16, VGG19, MobileNetV2, NASnet Moblie and ResNet-50 to find out an efficient base model for Novel Corona Virus Detect-net (NCVD-net)

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Optimization of Quantized Cooperative Sensing Using MultiObjective JAYA Algorithm

Author(s): Keraliya Divyesh Rudabhai*, Mehta Rahul Dhirendrabhai, Loriya Hitesh Thakarshibhai
Volume: 6 Issue: 1 Pages: 189-198
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02442


Abstract Cognitive radio (CR) is the new era of wireless technology having objective is to effective utilization of available spectrum. The primary function of cognitive radio is to sense the available free spectrum. The effectiveness of cooperative spectrum sensing (CSS) for searching available free spectrums in network of cognitive radio (CR) has been executed by

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A Comparative Study on Economic Growth and Bilateral Trade Dynamics between India and China

Author(s): Alka Sandhu*, Sakshi
Volume: 6 Issue: 1 Pages: 178-188
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02419


Abstract This research paper attempts at analyzing bilateral trade and economic growth of India and China and explore future implications of their trade and economic cooperation. This paper examines the changes and major movements in the exports, imports, trade openness, and terms of trade and gross domestic product of both countries. Appropriate statistical methods are

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Hybrid Contrastive Learning for Cyber Security Named Entry Recognition using Belief Rule Base

Author(s): RadhaKrishna Karne*, Kallem Niranjan Reddy, Kasapaka Rubenraju, Vijayalakshmi Chintamaneni, K Jamal
Volume: 6 Issue: 1 Pages: 171-177
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02407


Abstract It is possible to retrieve data from security-related occurrences, Named Entity Recognition (NER) is essential to cybersecurity. For rich contextual text embeddings, current approaches rely on pre-trained models; nevertheless, anisotropy presents a difficulty that may impact the quality of subsequent encoding. Furthermore, current models might have trouble detecting clutter. In order to deal with

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