Information Theory, Data Science, Probability and Statistics
128
Scopus Publications
Scopus Publications
Performance measures of sustainable development goals using SWI MCDM methods: a case of the Indian states Pankaj Prasad Dwivedi, Dilip Kumar Sharma International Transactions in Operational Research, 2026 Agenda 2030, also known as the Sustainable Development Goals (SDGs), is a set of global goals adopted by all United Nations Member States in 2015 through the 2030 Agenda for Sustainable Development. The SDGs provide a framework to tackle one of the world's most critical challenges: climate change. The 17 interconnected goals address a broad spectrum of social, economic, and environmental issues. The Government of India has embraced “Agenda 2030,” encompassing 17 SDGs alongside various indicators and targets within the sustainable framework. These indicators were instrumental in assessing the current status of the state concerning SDG attainment. Our primary contribution to this research lies in adopting the prescribed methodology to examine the current status of the SDG India Index 3.0. We focused on evaluating major objectives across Indian states, rating them based on their performance. This study proposes a novel approach utilizing the sum‐weighted information (SWI) multicriteria decision analysis/making (MCDA/M) framework to assess the progress of Indian states toward achieving the SDGs based on information measures. By integrating quantitative and qualitative indicators, this method offers a comprehensive evaluation of various aspects. The SWI MCDA/M framework enables policymakers and stakeholders to identify key strengths and weaknesses, prioritize areas for improvement, and formulate targeted strategies to accelerate progress toward the SDGs at the state level in India. Through empirical analysis and case studies, this research contributes to enhancing the effectiveness of SDG implementation efforts, fostering development practices, and promoting inclusive growth across Indian states. The findings indicate that Kerala achieved the first rank, with a 4.516 bits information score and Bihar ranks lowest among states in meeting the standards outlined in “Agenda 2030,” with a 5.530 bits information score.
Comparative assessment of flexible manufacturing systems using the EDAS and Shannon entropy method Pankaj Prasad Dwivedi, Dilip Kumar Sharma Croatian Operational Research Review, 2026 As global competition intensifies, most manufacturing companies strive to improve their production methods to gain a competitive edge. One such advancement is the adoption of Flexible Manufacturing Systems (FMS), which enable the efficient production of various products in specified quantities with minimal lead times. These systems offer adaptability and efficiency, allowing manufacturers to leverage modern technologies to improve operational performance. However, evaluating or selecting an appropriate FMS involves considering numerous conflicting criteria. To address this complexity, Multi-criteria Decision Making (MCDM) methods are employed. This study conducts a comparative evaluation of eight FMS alternatives using the Evaluation based on the Distance from the Average Solution (EDAS) method, integrated with Shannon Entropy for objective weight determination. Key performance indicators, including production cost, system flexibility, energy efficiency, and operational reliability, are used in the assessment. The Shannon Entropy method ensures unbiased, data-driven weight assignment, while the EDAS method provides a robust framework for ranking alternatives based on their deviation from an average solution. To test the robustness of the ranking, we compared the ranking with other MCDM methods and also conducted a sensitivity analysis using equal weighting criteria. We found that the first and last rankings remained unchanged when we changed the criteria, although there were slight changes in the rankings of some alternatives. The findings highlight the effectiveness of integrating EDAS with Shannon Entropy in selecting the best flexible manufacturing systems, offering valuable insights for manufacturers and decision-makers.
Entropy-Based Probabilistic Decision-Making Models for Industrial Robot Selection in Defence Systems Pankaj Prasad Dwivedi, Dilip Kumar Sharma Defence Science Journal, 2025 The choice of the right industrial robot is a crucial step in the development of the manufacturing firm because of its impact on the production rate, output, and income-generating capacity of the firm. In the last decades, people have started using tools from Multi-Criteria Decision Making (MCDM) to help them make better decisions. Nevertheless, many questions remain unanswered in the literature regarding the usability of these methods in industrial robot selection. To enhance the ability to evaluate and select industrial robots, this study introduces two new methods of MCDM, which are named Sum Weighted Information (SWI) and Sum Weighted Information Exponential (SWEI).
Analysis of farmers' perspectives on innovation and adaptation in fertilizer management Dilip Kumar Sharma, Abhishek Shukla Multidisciplinary Approaches to AI Data and Innovation for A Smarter World, 2025 In this chapter, the authors explore the differential patterns, challenges, and the nature of innovative practices in fertilizer management among farmers across regions. Employing an exhaustive and exhaustive survey, they explore how farmers respond to tech innovations and develop in response to socioeconomic and environmental demands. The study found that fertilizer use also varies widely by region due to geography, economic considerations, and cultural beliefs. They consider the relevance of these findings to agricultural policy and practice, with specific attention to the necessity of focused interventions that can support normal fertilizer responses and that can regain a part of the large fraction of applied N that is not recovered from the soil or crop. They believe the findings from our research illustrate the complex nexus that exists between innovation, adaptation, and education, which are necessary to enhance fertilizer management practices.
A Pervasive Model to Evaluate and Ranking the Best 5G Mobile by Cross-Entropy and TOPSIS Method Pankaj Prasad Dwivedi, Dilip Kumar Sharma International Journal of Communication Systems, 2025 The development of the new 5G mobile generation is among the most significant and recent breakthroughs in communications and information technology. Compared to older networks, the most recent wireless cellular technology offers more capacity, dependable connections, and quicker upload and download rates. The newest generation of mobile phones, or 5G phones, have significantly quicker speeds and are more dependable. They have the potential to completely change the way we access social media, websites, and information. This study was carried out to address the issue that many 5G mobile users frequently face when deciding which phone is best for them based on many factors. This study contributes to putting out a strategy for assessing and ranking the various 5G mobile possibilities in light of consumers' order of predilections in multicriteria decision‐making (MCDM). In this study, we studied 15 different 5G mobiles based on data from mobile companies with 10 criteria. First, the most appealing criteria that affect a person's decision about a 5G mobile are determined. This is accomplished by a survey of the target audience, the expertise of industry professionals in the communications area, and research in the literature. For assessing the 5G mobile alternatives, the TOPSIS approach is employed, and the relative weights of assessment criteria are calculated by the cross‐entropy approach, which is new in terms of MCDM. This study demonstrates the usefulness of the suggested strategy.
Investigation on Introduction to Heterogeneous Exascale Computing in the Medical Field Human Cancer Diagnosis and Detection Using Exascale Computing, 2024
Adoption of Cloud Computing in the Healthcare Field Using the SEM Approach Human Cancer Diagnosis and Detection Using Exascale Computing, 2024
Multi-Objective Differential Development Using DNN for Multimodality Medical Image Fusion Human Cancer Diagnosis and Detection Using Exascale Computing, 2024
Malicious Traffic Classification in WSN using Deep Learning Approaches Chhote Lal Prasad Gupta, Dinesh Rajassekharan, Dilip Kumar Sharma, Mohanraj Elangovan, Varatharaj Myilsamy, Kamal Upreti 2023 International Conference on Communication Security and Artificial Intelligence Iccsai 2023, 2023
An Efficient Wireless Sensor Network based Intrusion Detection System Dinesh Rajassekharan, V Ramachandran, Dilip Kumar Sharma, Thirumoorthy Palanisamy, Y. Varatharaj Myilsam, Ramesh Chandra Poonia 2023 International Conference on Communication Security and Artificial Intelligence Iccsai 2023, 2023
An optimized fuzzy based ant colony algorithm for 5G-MANET R. Nithya, K. Amudha, A. Syed Musthafa, Dilip Kumar Sharma, Edwin Hernan Ramirez-Asis, Priya Velayutham, V. Subramaniyaswamy, Sudhakar Sengan Computers Materials and Continua, 2022
Keyword extraction methodologies based on rényi entropy and tsallis relative entropy Department of Mathematics, Jaypee University of Engineering, Technology, A.B. Road, Raghogarh, Dist. Guna (M.P)-473226, India., Aakanksha Singhal, D.K. Sharma, Department of Mathematics, Jaypee University of Engineering, Technology, A.B. Road, Raghogarh, Dist. Guna (M.P)-473226, India. Journal of Engineering Research Kuwait, 2021
Bounds of Generalized 'Useful' Information Measure With Application of Jensen's Inequality Advanced Applications of Computational Mathematics, 2021
Investigations on mechanical properties of titanium reinforced glass ionomer cement (GIC)-ceramic composites suitable for dental implant applications School of Mechanical Engineering, Sathyabama Institute of Science, Technology, Chennai, R. B. DURAIRAJ, S. SIVASARAVANAN, School of Mechanical Engineering, Sathyabama Institute of Science, Technology, Chennai, D. K SHARMA, Department of Mathematics , Jaypee University of Engineering, Technology, Guna (M.P), India, S. RAMACHANDRAN, Department of Mechanical Engineering , CMR Institute of Technology , Bengaluru , India, A. HEBOYAN, Department of prosthodontics , Yerevan state medical University, Armenia Digest Journal of Nanomaterials and Biostructures, 2021
A review on smart grid telecommunication system Dilip Kumar Sharma, Gopala Krishna Rapaka, Ajay Prakash Pasupulla, Sushma Jaiswal, Kishori Abadar, Harpreet Kaur Materials Today Proceedings, 2021
Cloud Computing in Medicine: Current trends and Possibilities Dilip Kumar Sharma, Raja Sarath Kumar Boddu, Narinder Kumar Bhasin, S. Shajun Nisha, Vipin Jain, Md. Khaja Mohiddin 2021 International Conference on Advancements in Electrical Electronics Communication Computing and Automation Icaeca 2021, 2021
Rainfall Prediction Using Deep Mining Strategy for Detection Karthikeyan Kaliyaperumal, Afikah Rahim, D. K. Sharma, R. Regin, Swati Vashisht, Khongdet Phasinam Proceedings 2nd International Conference on Smart Electronics and Communication Icosec 2021, 2021
Slotting Learning Rate in Deep Neural Networks to Build Stronger Models Dilip Kumar Sharma, Bhopendra Singh, Mamoona Anam, Klinge Orlando Villalba-Condori, Ankur Kumar Gupta, Ghassan Khazal Ali Proceedings 2nd International Conference on Smart Electronics and Communication Icosec 2021, 2021
Predicting Network Congestion with Machine Learning D.K. Sharma, Nasir Abdul Jalil, R. Regin, S. Suman Rajest, Rama Krishna Tummala, Thangadurai N Proceedings 2nd International Conference on Smart Electronics and Communication Icosec 2021, 2021
A survey on the scope of cloud computing Parul Agarwal, Dilip Kumar Sharma, V.L. Varun, Pruthvi Raj Venkatesh, Chaitanya Kanchibhotla, Randy Joy Magno Ventayen, Md. Khaja Mohiddin Materials Today Proceedings, 2021
