journals

Tomtit Flock Optimization with Deep Variational Autoencoder for Customer Churn Prediction in Telecommunication Industry

Author(s): Vani Haridasan*, Kavitha Muthukumaran, Hariharanath K
Volume: 5 Issue: 3 Pages: 376-389
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0749


Abstract The telecommunication sector becomes popular in recent years and service companies suffer from a loss of valued customers to competitors. In the operational area, customer churn is a challenging issue, which makes companies, loses customers, and therefore is of bigger issue for the industry. Recent technologies and competitors were developing quickly and churn prediction […]

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Choroidal Morphological Changes: A Promising Avenue for Early Diagnosis of Neurocognitive Disorders

Author(s): Pranab Hazra*, Mainak Dey, Priyanka Bawaly, Ashis Kumar Dhara, Tushar Kanti Bera
Volume: 5 Issue: 3 Pages: 847-864
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0970


Abstract Neurocognitive Disorders (NCDs) pose a substantial public health challenge, demanding timely detection and intervention to enhance patient outcomes. Recent strides in medical imaging have unveiled choroidal morphological alterations as a novel avenue for early NCD diagnosis. This study investigates the effectiveness of deep learning algorithms, particularly Residual neural networks (ResNet) and Visual Geometry Group

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Implementation of Deep Learning Application for Emergency Maintenance of Medical Linear Accelerator

Author(s): Damodharan Palaniappan, Thurai Pandian M, Sindhu AS, Premavathi T*, Rituraj Jain, Sanjay Singh
Volume: 5 Issue: 3 Pages: 834-846
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0974


Abstract The purpose of this work is to improve the quality of medical services, to acquire financial benefits for hospitals, and to achieve beneficial social consequences. These are the goals and the motivations that are driving this work. Using the framework of deep learning, it studies the composition of medical linear accelerators, as well as

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Evaluation of Antibiotic Prescription Pattern in Special Newborn Care Unit (SNCU) of Tertiary Care Teaching Hospital

Author(s): Paramita Parida*, Sagar Parida, Rajlaxmi Upadhyay, Sourya Mohapatra
Volume: 5 Issue: 3 Pages: 828-833
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0866


Abstract Antibiotic prescription pattern analysis in a hospital setting is critical to the sensible use of drugs. To reduce overall mortality and morbidity, rational antibiotic usage necessitates effective clinical and laboratory teamwork. In light of this, the pharmacology department undertook a two-year prospective observational study in collaboration with the Special Newborn Care Unit (SNCU) of

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Experimental Analysis on Combustion Characteristics, Performance and Emissions of Oxygen-Enriched Diesel Engine

Author(s): Raghavendra Ugraram*, Meenakshi Reddy R, Chandra Mohana Reddy B
Volume: 5 Issue: 3 Pages: 819-827
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0870


Abstract Oxygen-enriched combustion technology is an appealing option for enhancing the combustion process with reduced exhaust emissions in diesel engines. A study was conducted on a four-stroke single cylinder diesel engine to investigate how the combustion characteristics, exhaust emissions and performance are affected by oxygen-enriched air during partial and full load operating conditions. Specifically, the

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Role of Non-Invasive Brain Stimulation Techniques in Peripheral Neuropathy: A Systematic Review

Author(s): Anshika Singh*, Suresh Mani, Sumit Raghav, Arvind Krishna
Volume: 5 Issue: 3 Pages: 809-818
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0882


Abstract Peripheral neuropathy (PN), a prevalent ailment frequently linked to elevated morbidity, can arise from both traumatic and non-traumatic origins. Along with motor, sensory, and autonomic alterations in the afflicted limb, it can also cause neuroplastic changes in the cerebral cortex. Researchers advise controlling the peripheral effects while maintaining the damaged nerve’s cerebral plasticity. In

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Tri-Decadal Review on Personal Finance and Financial Well-Being

Author(s): Jisa Babu, Velmurugan G*
Volume: 5 Issue: 3 Pages: 1021-1042
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0985


Abstract Individual money management directs funds to significant paths to achieve financial well-being. This study aims to analyse the articles already published in this research area and explore the future scope of expansion of this study. Systematic mapping and bibliometric analysis of 497 articles from the Scopus database were done to identify the trends in

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Equipment Health Monitoring Using Machine Learning Techniques

Author(s): Pankaj V Baviskar*, Chitresh Nayak
Volume: 5 Issue: 3 Pages: 798-808
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0857


Abstract The rapid growth of science and technology in modern civilisation has led to an increase in the size, complexity, and automation of machinery and equipment. Two of the most important aspects of modern industrial production are problem identification and machinery condition monitoring. Early problem detection is made possible by effective condition monitoring, which is

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Study of Compression, Hardness and Wear Resistance Properties of Cordia Dichotoma Fiber Reinforced Epoxy Composite

Author(s): Madhusudhan Reddy B*, Meenakshi Reddy R, Mohana Reddy YV, Madhava Reddy K, Harisankar P, Sankaraiah G
Volume: 5 Issue: 3 Pages: 1012-1020
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0977


Abstract The use of composite materials reinforced with natural fibers has gained popularity in recent years. These fibers are naturally occurring, inexpensive, less-harmful to human resources during processing, recyclable, and non-toxic to the environment as compared to manmade reinforcements like carbon and glass fiber. A study was conducted to explore the compression, hardness, and wear

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Adults’ Perceptions on Factors Contributing to Traffic Congestion in Edutown, Bandar Baru Bangi

Author(s): Mohd Haniff Osman*, Luqman Hakim Shah Dikie
Volume: 5 Issue: 3 Pages: 785-797
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0880


Abstract As land use patterns continue to evolve and traffic demands increase in Edutown Bandar Baru Bangi, Selangor, road congestion has become a persistent issue. The development of educational, residential, and commercial areas has contributed to the influx of vehicles on the roads, further exacerbating the traffic situation. Efforts to assess the impact of these

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