http://nopr.niscpr.res.in/handle/123456789/65698 2026-10-09T16:19:06Z 2026-10-09T16:19:06Z Tripathi, Ashwary Jain, Dhruv Yadav, Tarun http://nopr.niscpr.res.in/handle/123456789/65877 2025-05-20T08:20:52Z 2025-05-01T00:00:00Z

Title: Machine Learning-based Predictive Models for Early Diagnosis of Liver Disease Authors: Tripathi, Ashwary; Jain, Dhruv; Yadav, Tarun Abstract: Liver disease is a major global health issue, contributing to nearly 2 million deaths annually. Early detection is crucial, yet traditional diagnostic methods are invasive and costly. This study proposes a machine learning-based framework for liver disease diagnosis using 30,690 patient records, incorporating demographic details, liver enzyme levels, and bilirubin measurements. The methodology includes data preprocessing, feature selection, and model evaluation across 13 machine learning algorithms. Key predictive features—Total Bilirubin, Direct Bilirubin, SGPT, SGOT, and Alkaline Phosphatase— were identified using Chi-squared test, ANOVA F-value, Mutual Information, and Random Forest Importance. Among the models, Decision Tree, Bagging Classifier, and XGBoost demonstrated superior performance, achieving over 99% accuracy. The Decision Tree model exhibited the highest computational efficiency (0.0009 seconds prediction time), making it ideal for real-time clinical applications. The study underscores the potential of machine learning in non-invasive, scalable, and accurate liver disease diagnostics. Future work includes extending the model for personalized medicine and advanced liver disease subtypes. Page(s): 575-583

2025-05-01T00:00:00Z J Jain, Jigar M Vala, Tejas N Rajput, Vipul Saad Al-Sumaiti, Ameena http://nopr.niscpr.res.in/handle/123456789/65710 2025-04-08T06:10:32Z 2025-04-01T00:00:00Z

Title: Promising Protection Scheme for Renewable Resources Connected Microgrid: A Systematic Review of an Adaptive Protection Authors: J Jain, Jigar; M Vala, Tejas; N Rajput, Vipul; Saad Al-Sumaiti, Ameena Abstract: The integration of Distributed Generators (DGs) into distribution networks has experienced rapid growth in recent years due to their numerous advantages, forming microgrids that can function in either grid-connected or islanded modes. However, this increasing penetration of DGs presents several challenges to microgrid protection systems. Traditional protection methods struggle with issues such as dynamic fault current levels, bidirectional fault flows, protection blinding, and false tripping. To overcome these issues, researchers have proposed various solutions, with adaptive protection standing out as a promising approach. Numerous adaptive protection schemes have been introduced and thoroughly discussed in the literature, each offering unique benefits and limitations. This paper provides an in-depth review of these adaptive protection methods, outlining their strengths and weaknesses. The primary goal of this review is to inspire and encourage further research in adaptive protection systems for DG-integrated distribution networks, ultimately ensuring more reliable and efficient power distribution systems in the face of growing DG integration. Page(s): 365-378

2025-04-01T00:00:00Z Gyanendra, Yumnam Arunapiyari Chanu, Angom K K Mani Bhushan Singh, Koijam http://nopr.niscpr.res.in/handle/123456789/65709 2025-04-08T06:08:36Z 2025-04-01T00:00:00Z

Title: Silent Streets and Urban Soundscapes: Examining Noise Levels in Imphal, Manipur amid COVID-19 Authors: Gyanendra, Yumnam; Arunapiyari Chanu, Angom; K K Mani Bhushan Singh, Koijam Abstract: The study investigates the impact of the COVID-19 pandemic on urban soundscape dynamics in Imphal, Manipur, focusing on noise levels during restricted mobility and reduced economic activity. This study uses sound measurements and qualitative observations to explore the changes in ambient noise within the city, analyzing the implications of decreased vehicular traffic, commercial operations, and social activities on the acoustic environment. Through a comparative analysis of pre-pandemic and pandemic-induced noise levels, this research aims to delineate the alterations in the acoustic landscape, shedding light on the city’s auditory transformation during the pandemic-induced lockdowns. Moreover, it examines the relationship between altered soundscapes and the community’s well-being, considering potential implications for urban planning and public health policies. The findings contribute to a deeper understanding of the intricate relationship between societal changes, environmental acoustics, and the lived experience of urban environments amidst extraordinary circumstances like the COVID-19 pandemic. Page(s): 379-388

2025-04-01T00:00:00Z Laxmi, Vijaya Arote, Harshad C Phuleria, Harish http://nopr.niscpr.res.in/handle/123456789/65708 2025-04-08T06:06:36Z 2025-04-01T00:00:00Z

Title: Environmental Noise in North Central Mumbai, India: Unravelling Human-Environmental Interactions Authors: Laxmi, Vijaya; Arote, Harshad; C Phuleria, Harish Abstract: This study investigates traffic-related noise in residential zones within an educational institution in North Central Mumbai, India. It uses objective and subjective noise assessments to understand the relationship between objective noise levels, reported noise annoyance, and sensitivity. As there is limited research pertaining to the Indian context, this research study introduces a fresh perspective and seeks to contribute to a better comprehension of the impacts of noise pollution. Systematic noise monitoring was performed at designated sites (35), adhering to regulatory guidelines, and employing a tripod-mounted sound level meter. A well-structured questionnaire designed for community noise survey. The average noise levels in the residential community were 61.2 dB(A) during traffic non-rush hours. The study found that 33% of participants were highly annoyed by noise, with 18% being annoyed. Noise annoyance was influenced by objective noise levels, proximity to roads, and nearby parks or lakes. Among participants, 39% were highly noise-sensitive, with females and middle-aged residents being more sensitive. However, sensitivity had little impact on annoyance. The study suggests that noise management strategies should be incorporated into urban planning and educational institution policies, despite the presence of vegetation and noise barriers. Page(s): 389-398

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