journals

Mapping the Landscape of Financial Mindfulness Research: A Bibliometric Study

Author(s): Manjusha J*, Lakshmi Bhooshetty
Volume: 5 Issue: 4 Pages: 554-567
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01147


Abstract Financial mindfulness is an emerging concept in personal finance that promotes a transformative mindset to encourage rational decision-making and mitigate emotional biases. This study explores the evolution of research on financial mindfulness through a systematic literature review and bibliometric analysis of 58 relevant articles. The bibliometric analysis reveals the developmental trajectory of this literature, […]

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An Effective Route Tracing Using Enhanced Ant Colony Optimization Techniques: Travelling Salesman Problem

Author(s): S Selvi*, D Dhinoovika, R Harshana, R Muthulakshmi
Volume: 5 Issue: 4 Pages: 542-553
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01134


Abstract The Travelling Salesman Problem (TSP) is a well-known optimization that determines the shortest route that visits a particular set of towns and returns to the start line. As an NP-hard, its complexity will increase considerably as the number of cities increases. Several heuristic algorithms, such as Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO),

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Metaheuristic Machine Learning Algorithms for Liver Disease Prediction

Author(s): Deepti Gupta, B Kezia Rani, Indu Verma, Shaik Khaleel Ahamed, Arul Mary Rexy V, N Rajkumar, RG Vidhya*
Volume: 5 Issue: 4 Pages: 651-660
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01204


Abstract In machine learning, optimizing solutions is critical for improving performance. This study explores the use of metaheuristic algorithms to enhance key processes such as hyperparameter tuning, feature selection, and model optimization. Specifically, we integrate the Artificial Bee Colony (ABC) algorithm with Random Forest and Decision Tree models to improve the accuracy and efficiency of

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Serverless Data Processing System and its Design Space Consideration

Author(s): Arockia Raj A*, Kakoli Banerjee, A Anist, G N Beena Bethel, P Muthu Pandian, Purnendu Bikash Acharjee
Volume: 5 Issue: 4 Pages: 641-650
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01194


Abstract Serverless computing is becoming increasingly important in data-processing applications in science and business. The scheduler is at the centre of serverless data-processing systems, allowing for dynamic decisions on job and data placement. The complex design space, which is influenced by various user, cluster, and workload variables, presents problems for developing high-performance and cost-effective scheduling

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Bioenergy and Valuable Products from Floral Waste – Sustainable Approach

Author(s): Iadalin Ryntathiang, Shajni Krishna GM, Sivasankari Sekar, Archana Behera, Silambarasan Tamil Selvan, Mukesh Kumar Dharmalingam Jothinathan*
Volume: 5 Issue: 4 Pages: 531-541
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01133


Abstract Flower waste has emerged as a noteworthy issue, especially in the context of India’s growing floriculture sector. According to the Indian floriculture market report, specifically, the floriculture market is growing at a very high Compound Annual Growth Rate (CAGR) of 11%. 4% expected between 2024 and 2032. However, flower waste is still considered as

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Trends in Research Studies on Menstrual Distress and Selfefficacy Among Adolescent Girls: A Bibliometric Analysis

Author(s): Jeneefer Jeba Rajaselvi, Navin Kumar*
Volume: 5 Issue: 4 Pages: 629-640
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01193


Abstract Menstrual hygiene is a complex issue that requires coordinated efforts at various levels, especially for adolescent girls. However, the lack of basic facilities like sanitary products, water supply, and a safe environment for changing pads limits their options for safe menstrual hygiene. To understand more about menstrual distress and self-efficacy among schoolgoing girls, we

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Journeying through Resilience and Transition: Exploring Substance Abuse, Mental Health, and Well-being in Maria Campbell’s Halfbreed

Author(s): C Sindhu, NS Vishnu Priya*
Volume: 5 Issue: 4 Pages: 615-628
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01164


Abstract This research paper intensely analyses Maria’s challenges as depicted in Maria Campbell’s autobiographical Novel Halfbreed. It examines her metamorphosis from childhood to adulthood and the self-empowerment that resulted from her hardships. The article also looks at how Indigenous women have historically been marginalized and highlights Campbell’s story as an example of a young Native

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Enhancing Text Classification with Cyberbullying and Machine Learning Algorithms

Author(s): Denis R, Anita Jones Mary Pushpa T, Glory Sangeetha R, Kalyan Devappa Bamane*, Sathya S, Subramanian Selvakumar
Volume: 5 Issue: 4 Pages: 519-530
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01131


Abstract With the exponential rise of social media platforms, cyber bullying has become a significant issue, requiring sophisticated techniques for effective detection and prevention. Existing machine learning approaches, while foundational, often fall short in addressing the complex and nuanced linguistic patterns inherent in cyber bullying. This paper presents a novel framework that combines Recurrent Neural

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Unveiling The Enigma: Women’s Representation in After Dark by Haruki Murakami

Author(s): Midhat Tasneem, Laxmi Dhar Dwivedi*
Volume: 5 Issue: 4 Pages: 603-614
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01163


Abstract This paper examines the evolution of societal perceptions and role of women in Japan, particularly in the context of patriarchal ideologies, social and cultural constructs. Drawing on various scholarly perspectives this endeavour explores significant shifts in perceptions and treatment of women in Murakami’s novel After Dark. Through his novel, Murakami aims to explore the

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Revolutionizing Data Transmission Efficiency in IoT-Enabled Smart Cities: A Novel Optimization-Centric Approach

Author(s): Sudhagar D, Swapna Saturi, Mukesh Choudhary, Pranav Senthilkumaran, Eric Howard, Mrutyunjaya S Yalawar, RG Vidhya*
Volume: 5 Issue: 4 Pages: 592-602
DOI: https://doi.org/10.47857/irjms.2024.v05i04.01113


Abstract In the modern era, IoT-based smart cities play a crucial role in enhancing the development and quality of life in advanced countries. As digital technologies and advanced metering systems become increasingly integrated with IoT devices in smart city applications, efficient data transmission strategies are essential. This paper introduces a novel approach, the Deep Belief-based

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