Hemant Kumar
Verified @gmail.com
Assistant Professor, FEAT, DMIHER
DMIHER
RESEARCH, TEACHING, or OTHER INTERESTS
Applied Mathematics, Logic, Computational Mathematics, Discrete Mathematics and Combinatorics
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Sasipriya Sasipriya, , , and Hemant Kumar
ASPG Publishing LLC
This review of the literature delves into the complex interplay between energy measures and decision-making processes in the domains of fuzzy graphs, intuitionistic fuzzy graphs, and neutrosophic graphs. In graph theory, energy is a key quantity that is used to measure structural properties and evaluate decision model dynamics. The research methodically examines the theoretical underpinnings, computational techniques, and practical applications of energy measures in contexts involving decision-making, considering the special features brought forth by fuzzy, intuitionistic fuzzy, and neutrosophic graph models. This review attempts to provide a thorough understanding for researchers and practitioners looking to use energy measures for efficient decision support in the setting of uncertainty contained within these specific graph topologies by synthesizing prior research.
Asfar H. Siddiqui, Hemant Kumar, Uttam S. Matare, and Subramaniam Seshan Iyer
AIP Publishing
Hemant Kumar
AIP Publishing
Hemant Kumar, Prdnyawant M. Gote, Tejas Soma Pisal, and Yogesh Suryavanshi
AIP Publishing
Saniya Saratkar, Aarti Chaudhari, Trupti Thute, Rohini Raut, Gayatri Thakre and Hemant Kumar
This paper evaluates the prediction of heart attacks with a fuzzy rule-based system (FRBS). Since heart disease is the world's leading cause of death, precise prediction models are crucial for prevention and early intervention. With its reputation for managing imprecise and ambiguous data, fuzzy logic presents a viable method for raising prediction accuracy in medical diagnostics. In order to capture the complexity and unpredictability of cardiovascular risk variables, fuzzy rules are used in this work to investigate the creation and assessment of a fuzzy rule-based system (FRBS) for heart attack prediction. The efficacy and dependability of the FRBS in identifying those at high risk of heart attack are shown via testing and comparison with conventional prediction models. The results highlight fuzzy logic's potential to improve cardiovascular predictive analytics.
Tejas Pisal, Hemant Kumar, Praveen Kumar, and Pradanyawant Gote
IEEE
Acute sinusitis, often occurring as a consequence of recovering from a cold, presents a significant health concern due to its impact on the interconnected hollow spaces located behind the cheekbones, forehead, and nose. These sinus passages play a crucial role in the respiratory process by facilitating the smooth flow of air towards the lungs. Given the discomfort and potential complications associated with acute sinusitis, there is a pressing need for effective pharmaceutical interventions. This paper embarks on a comprehensive analysis of such interventions, leveraging real-world data subjected to rigorous examination through the Kruskal-Wallis statistical testing and the TOPSIS decision-making method. Our study is dedicated to discerning the most effective drug for acute sinusitis, considering a spectrum of factors including efficacy, ease of use, user satisfaction, and cost-effectiveness. By synthesizing empirical evidence and statistical analyses, we aim to provide valuable insights that can inform clinical decision-making and optimize patient care in the management of acute sinusitis. This research holds promise in guiding healthcare providers towards evidence-based prescribing practices, enhancing treatment outcomes, and ultimately improving the quality of life for individuals suffering from acute sinusitis.
Hemant Kumar and R. N. Prajapati
Springer Science and Business Media LLC
Hemant Kumar and Shiv Prasad Yadav
Springer Singapore
Hemant Kumar and Shiv Prasad Yadav
Springer Science and Business Media LLC
Hemant Kumar and Shiv Prasad Yadav
Springer Science and Business Media LLC
Hemant Kumar and Shiv Prasad Yadav
Springer Singapore
Hemant Kumar, Parvaiz Ahmad Naik, and Kamal Raj Pardasani
Springer Science and Business Media LLC
Hemant Kumar and Shiv Prasad Yadav
Springer Science and Business Media LLC