journals

Coupling of Rough Set Theory and Predictive Power of SVM Towards Mining of Missing Data

Author(s): Surendra Nath Bhagat* , Premansu Sekhar Rath, Anirban Mitra
Volume: 5 Issue: 2 Pages: 732-744
DOI: https://doi.org/10.47857/irjms.2024.v05i02.0631


Abstract Rough set theory offers a novel approach to identifying structural correlations amidst imprecise or noisy data, particularly applicable to variables with diverse values. It presents a promising avenue for handling fuzzy, conflicting, and uncertain data, with recent models incorporating various fuzzy generalizations. This technique stands out as a popular solution within artificial intelligence, particularly […]

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Modeling the Student Leadership, Citizenship, and Democratisation in Islamic University in Malaysia

Author(s): Mokhtar WKAW*, Ibrahim A, Khairuldin WMKFW, Embong AH, Ali AWM, Muhammad Saud
Volume: 5 Issue: 2 Pages: 549-563
DOI: https://doi.org/10.47857/irjms.2024.v05i02.0572


Abstract This study is to analyse the impact of student leadership and citizenship on the process of democratisation in Islamic universities in Malaysia. The necessity to comprehend the complex character of student leadership, particularly its manifestation at Islamic universities, is underscored by the global reports on this matter. Inquiries regarding citizenship and democracy present difficulties,

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Improved Tuberculosis Detection through Deep Learning

Author(s): Goutham Deepak, Muralidharan C*
Volume: 5 Issue: 2 Pages: 540-548
DOI: https://doi.org/10.47857/irjms.2024.v05i02.0563


Abstract Tuberculosis (TB) is a significant public health challenge worldwide. Early and accurate diagnosis is crucial for effective treatment and containment of the disease. This research work addresses the problem by proposing a multi-model classification method for identifying TB cases from chest X-rays with high accuracy. It utilizes a dataset created from real-time patient data

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Anesthetic Challenges and Goals in a 17-Year-Old Patient with Nail Patella Syndrome Undergoing Emergency Open Appendectomy: A Case Report

Author(s): Bharat Krishna M*, Niranjni S, Navaneetha Krishnan M, Lakshmi R
Volume: 5 Issue: 2 Pages: 535-539
DOI: https://doi.org/10.47857/irjms.2024.v05i02.0559


Abstract This case report delves into the intricate anesthetic management of a 17-year-old male presenting Nail Patella Syndrome (NPS) and end-stage renal failure necessitating emergency open appendectomy. NPS, an uncommon hereditary disorder, manifests with distinct abnormalities affecting the nails, patellae, elbows, and iliac crests, thereby complicating perioperative care. The patient’s extensive medical history, notably including

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Cloud Intrusion Detection Using Hybrid Convolutional Neural Networks

Author(s): Mahalakshmi SB, Lokanayaki Karnan*, Nayana KV, Thirunavukkarasu V
Volume: 5 Issue: 2 Pages: 723-731
DOI: https://doi.org/10.47857/irjms.2024.v05i02.0629


Abstract Instead of storing data on a hard drive, cloud computing is seen as the best option. The Internet is used to deliver three different kinds of computing services to users all over the world. One advantage that cloud computing provides to its customers is greater access to resources and higher performance while at the

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Analysis of the Possibilities of Carrying Out Attacks on the Functions of Transferring Control to Operating System Console Using Active Intelligence Methods

Author(s): Larisa Cherckesova, Elena Revyakina*, Olga Safaryan, Vitaliy Porksheyan, Maxim Kazaryan
Volume: 5 Issue: 2 Pages: 516-534
DOI: https://doi.org/10.47857/irjms.2024.v05i02.0558


Abstract This paper researches the possibility of conducting attacks on the console control transfer functions using active intelligence methods. The research employs a comprehensive approach involving ports scanning, directories searching, parameters modifying, and credentials searching based on a user dictionary. Additionally, the study involves the development of a software tool designed to detect vulnerabilities in

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Urinary Tract Infection Related to Indwelling Catheterization and Associated Factors Among ≥ 50-year-old Females at A Tertiary Care Hospital, Odisha, India

Author(s): Rashmimala Pradhan, Pravati Tripathy, Debaprasad Kar, Puspanjali Mohapatro, Shakti Rath*
Volume: 5 Issue: 2 Pages: 714-722
DOI: https://doi.org/10.47857/irjms.2024.v05i02.0623


Abstract This study determines the association factors of demographic variables with urinary tract infections (UTIs) among females ≥ 50 years or older. Routine microbiological analysis of the urine samples was done to find the dominant microorganisms in these older females and their level of drug resistance. One hundred elderly females with indwelling catheterization were admitted

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Impact of Change Communication on Readiness of the Employees – A Study on Post Covid19 WFH Scenario in the Indian Service Sector

Author(s): Divya J*
Volume: 5 Issue: 2 Pages: 501-515
DOI: https://doi.org/10.47857/irjms.2024.v05i02.0557


Abstract The study focuses upon analysing and examining the impact of change communication on readiness of the employees under the perspective of post-Covid19 WFH scenario. A closed-end and structure questionnaire was designed and adopted for data acquisition. The targets were determined as service sector-based organizations and the sample size 301 was determined for this study.

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Enhancing Cyber-Physical Systems Dependability through Integrated CPS-IoT Monitoring

Author(s): Cuddapah Anitha, Anil Tellur, KBV Brahma Rao, Vijaya Kumbhar, Telagamalla Gopi, Sachin Jadhav*, RG Vidhya
Volume: 5 Issue: 2 Pages: 706-713
DOI: https://doi.org/10.47857/irjms.2024.v05i02.0620


Abstract This abstract investigates the convergence of collection tree protocols, cyber-physical systems (CPS), dependability, epidemic modelling, the Fourth Industrial Revolution (4IR), and the Internet of Things (IoT). Our research focuses on improving the dependability of Cyber-Physical Systems (CPS) by examining the incorporation of Internet of Things (IoT) monitoring and collecting tree protocols. The objective of

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Relationship between Digital Leadership and Organizational Culture: Role of Digital Literacy

Author(s): Jibu P Joseph, Ravikumar T*
Volume: 5 Issue: 2 Pages: 493-500
DOI: https://doi.org/10.47857/irjms.2024.v05i02.0551


Abstract This study investigates the influence of digital literacy on leadership styles embraced by organizational leaders and its subsequent impact on organizational culture. The objective is to provide insights that can guide strategic decision-making and leadership development initiatives in the digital age. The research focuses on exploring the relationship between Digital Leadership and Organizational Cultural

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