Dr Dilip Kumar
@nitjsr.ac.in
Scopus Publications
- Retraction Note: A comprehensive review on detection and classification of dementia using neuroimaging and machine learning (Multimedia Tools and Applications, (2023), 83, 17, (52365-52403), 10.1007/s11042-023-17288-4)
Nikhil Pateria, Dilip Kumar
Multimedia Tools and Applications, 2026 - Energy-efficient resource provisioning in cloud data centers
Manoj Kumar Dixit, Dilip Kumar
Sustainable Computing Informatics and Systems, 2025 - AI-driven deep learning framework for enhanced neurodegenerative disease diagnosis: A novel CNN with attention mechanisms and data balancing
Nikhil Pateria, Dilip Kumar
Expert Systems with Applications, 2025 - Intelligent machines with enhanced episodic memory for transformation of healthcare
Manoj Kumar Dixit, Garima Jain, Dilip Kumar, Ankush Jain
Blockchain and Digital Twin for Smart Hospitals, 2025 - Optimized transfer learning approach for leaf disease classification in smart agriculture
Monu Bhagat, Dilip Kumar, Sunil Kumar
Multimedia Tools and Applications, 2024 - A comprehensive review on detection and classification of dementia using neuroimaging and machine learning
Nikhil Pateria, Dilip Kumar
Multimedia Tools and Applications, 2024 - Performance enhancement of kernelized SVM with deep learning features for tea leaf disease prediction
Monu Bhagat, Dilip Kumar
Multimedia Tools and Applications, 2024 - Self-adaptive search optimization-based vehicle path prediction and traffic light controller in vehicular ad hoc network
Shishir Singh Chauhan, Dilip Kumar
International Journal of Communication Systems, 2024
SummaryIn recent days, VANET is considered as the main hopeful equipment in the system of transportation since traffic congestion arises regularly and thus occurred road accidents very easily. Besides, the network traffic is increasing due to the huge quantity of information generated in region of urban. Therefore, one of the primary challenges faced by Intelligent Transportation System (ITS) is ensuring the accurate transmission of information in both vehicle‐to‐vehicle (V2V) and vehicle‐to‐road (V2R) sensing unit communications. So, here, an adaptive routing controller (ARC) is utilized to improve the data transmission between vehicle and road sensing unit (RSU) and to minimize the traffic density in VANET, and the self‐adaptive search optimization is developed in VANET clustering to prioritize vehicles in the lane, in which the multi‐objective function is intended depending on the energy of the node, acceleration, jitter, priority, velocity, and trust factors. The traffic light control is done to facilitate the effective communication in the network. Thus, the proposed technique is calculated in terms of throughput, jitter, quadratic mean of acceleration (QMA), and spatially distributed travel time (SDTT), which acquired the values of 0.53 s, 36.07 kmph, 3.472 s, and 43.572%, respectively, while using 50 vehicles at 50 s. - Real-Time Application Layer Protocols to support lightweight mechanism in Internet of Things for e-Healthcare systems
Deobrata Kumar, Dilip Kumar
5th International Conference on Recent Trends in Computer Science and Technology Icrtcst 2024 Proceedings, 2024
The meteoric advancement of Internet of Things technology has facilitated the integration of various devices and systems into our daily lives. In particular, the field of e-healthcare has witnessed significant developments, leveraging IoT technology in e-healthcare systems enables continuous real-time data analysis, patient monitoring, and timely intervention, thereby increasing patient care and e-healthcare services. However, as IoT devices are resource-constrained in nature demand lightweight and efficient protocols to ensure real-time communication and seamless data exchange. This research paper focuses on exploring real-time application layer protocols to support lightweight mechanisms in IoT for e-healthcare systems. The paper begins by providing an overview of the IoT landscape in the e-healthcare domain, highlighting the key challenges faced when integrating IoT devices into healthcare environments. Next, the paper presents an in-depth analysis of various existing application layer protocols suitable for lightweight IoT deployments and identifies their limitations concerning real-time e-healthcare applications. Drawing from this analysis, one can propose and introduce novel lightweight mechanisms for efficient data aggregation and compression techniques to alleviate the burden on IoT devices optimize data transmission, reduce overhead, and prioritize critical health-related information without compromising the integrity of critical health data. - A Review of Lightweight Security and Privacy for Resource-Constrained IoT Devices
Sunil Kumar, Dilip Kumar, Ramraj Dangi, Gaurav Choudhary, Nicola Dragoni, Ilsun You
Computers Materials and Continua, 2024
The widespread and growing interest in the Internet of Things (IoT) may be attributed to its usefulness in many different fields. Physical settings are probed for data, which is then transferred via linked networks. There are several hurdles to overcome when putting IoT into practice, from managing server infrastructure to coordinating the use of tiny sensors. When it comes to deploying IoT, everyone agrees that security is the biggest issue. This is due to the fact that a large number of IoT devices exist in the physical world and that many of them have constrained resources such as electricity, memory, processing power, and square footage. This research intends to analyse resource-constrained IoT devices, including RFID tags, sensors, and smart cards, and the issues involved with protecting them in such restricted circumstances. Using lightweight cryptography, the information sent between these gadgets may be secured. In order to provide a holistic picture, this research evaluates and contrasts well-known algorithms based on their implementation cost, hardware/software efficiency, and attack resistance features. We also emphasised how essential lightweight encryption is for striking a good cost-to-performance-to-security ratio. - SHC: 8-bit Compact and Efficient S-Box Structure for Lightweight Cryptography
Sunil Kumar, Dilip Kumar, Hemraj Lamkuche, Vijay Shankar Sharma, Hend Khalid Alkahtani, Muna Elsadig, Mariyam Aysha Bivi
IEEE Access, 2024 - Traffic Prediction and Signal Controlling Using Mode-search Optimization Based Deep Long Short Term Memory Classifier
Shishir Singh Chauhan, Dilip Kumar
International Journal on Artificial Intelligence Tools, 2023 - Mode Search Optimization Algorithm for Traffic Prediction and Signal Controlling Using Bellman–Ford with TPFN Path Discovery Model Based on Deep LSTM Classifier
Shishir Singh Chauhan, Dilip Kumar
SN Computer Science, 2023 - Efficient feature selection using BoWs and SURF method for leaf disease identification
Monu Bhagat, Dilip Kumar
Multimedia Tools and Applications, 2023 - Performance evaluation of PCA based reduced features of leaf images extracted by DWT using random Forest and XGBoost classifier
Monu Bhagat, Dilip Kumar
Multimedia Tools and Applications, 2023 - Performance and security analysis using B-128 modified blowfish algorithm
Sunil Kumar, Dilip Kumar, Naini Singh
Multimedia Tools and Applications, 2023 - Human brain tumor classification and segmentation using CNN
Sunil Kumar, Dilip Kumar
Multimedia Tools and Applications, 2023 - Securing of Cloud Storage Data Using Hybrid AES-ECC Cryptographic Approach
Sunil Kumar, Dilip Kumar
Journal of Mobile Multimedia, 2023 - Stability analysis of mathematical model for spread of pest in tea plant by RKM-4 and ABM-2
Monu Bhagat, Dilip Kumar
Journal of Difference Equations and Applications, 2023 - Hybrid Methods for Increasing Security of IoT and Cloud Data
Kunal Mahajan, Sunil Kumar, Dilip Kumar
Lecture Notes in Electrical Engineering, 2023 - Bell pepper leaf disease classification with LBP and VGG-16 based fused features and RF classifier
Monu Bhagat, Dilip Kumar, Sunil Kumar
International Journal of Information Technology Singapore, 2023 - A comprehensive survey on leaf disease identification & classification
Monu Bhagat, Dilip Kumar
Multimedia Tools and Applications, 2022 - An Automatic Lung Nodule Classification System Based on Hybrid Transfer Learning Approach
Trishna Saikia, Ranjeet Kumar, Dilip Kumar, Koushlendra Kumar Singh
SN Computer Science, 2022 - TPA Auditing to Enhance the Privacy and Security in Cloud Systems
Sunil Kumar, Dilip Kumar, Hemraj Shobharam Lamkuche
Journal of Cyber Security and Mobility, 2021 - Application of Internet of Things in Digital Pedagogy
Monu Bhagat, Dilip Kumar, Sushma M. Balgi
Intelligent Systems Reference Library, 2021 - Magnetic Resonance Imaging Classification Methods: A Review
Nikhil Pateria, Dilip Kumar, Sunil Kumar
Lecture Notes in Electrical Engineering, 2021 - Comparative analysis and performance evaluation of medical image compression method for telemedicine
Sunil Kumar, Dilip Kumar
2nd International Conference on Data Engineering and Applications Idea 2020, 2020 - A review on medical image data compression techniques
Gopal Patidar, Sunil Kumar, Dilip Kumar
2nd International Conference on Data Engineering and Applications Idea 2020, 2020 - Bell pepper leaf disease classification using CNN
Monu Bhagat, Dilip Kumar, Rehan Mahmood, Bibhudhendra Pati, Monu Kumar
2nd International Conference on Data Engineering and Applications Idea 2020, 2020 - Plant leaf disease classification using grid search based SVM
Monu Bhagat, Dilip Kumar, Isharul Haque, Hemant Singh Munda, Ravi Bhagat
2nd International Conference on Data Engineering and Applications Idea 2020, 2020 - Ubiquitous and Emerging Concepts of Sensors
Manisha Sharma, Monu Bhagat, Dilip Kumar
Proceedings of 3rd International Conference on 2019 Devices for Integrated Circuit Devic 2019, 2019 - Role of Internet of Things (IoT) in Smart Farming: A Brief Survey
Monu Bhagat, Deobrata Kumar, Dilip Kumar
Proceedings of 3rd International Conference on 2019 Devices for Integrated Circuit Devic 2019, 2019 - Gameplay using Reinforcement Learning
Dilip Kumar, Ritesh Prasad, Kumar Ritu Raj Singh, Surbhi Singh
Proceedings of 3rd International Conference on 2019 Devices for Integrated Circuit Devic 2019, 2019 - Greedy approaches for deadline based task consolidation in cloud computing
Dilip Kumar, Tarni Mandal
Proceeding IEEE International Conference on Computing Communication and Automation Iccca 2016, 2017 - Bi-objective virtual machine placement using hybrid of genetic algorithm and particle swarm optimization in cloud data center
International Journal of Applied Engineering Research, 2017 - Multi-objective virtual machine placement using improved teaching learning based optimization in cloud data centers
International Journal of Applied Engineering Research, 2017 - Heuristic task consolidation techniques for energy efficient cloud computing
Dilip Kumar, Bibhudatta Sahoo, Tarni Mandal
Web Based Services Concepts Methodologies Tools and Applications, 2015 - Heuristic task consolidation techniques for energy efficient cloud computing
Dilip Kumar, Bibhudatta Sahoo, Tarni Mandal
Enterprise Management Strategies in the Era of Cloud Computing, 2015 - Performance analysis of greedy load balancing algorithms in heterogeneous distributed computing system
Bibhudatta Sahoo, Dilip Kumar, Sanjay Kumar Jena
2014 International Conference on High Performance Computing and Applications Ichpca 2014, 2015
RECENT SCHOLAR PUBLICATIONS
- Greedy approaches for deadline based task consolidation in cloud computing
D Kumar, T Mandal
2016 International Conference on Computing, Communication and Automation … , 2016
2016
Citations: 4 - Security Challenges in Internet of Things (IoT)
B Mondal, D Kumar, T Mandal
International Journal of Software and Web Sciences 13 (1), 8-13 , 2015
2015 - Heuristic Task Consolidation Techniques for Energy Efficient Cloud Computing
D Kumar, B Sahoo, T Mandal
Enterprise Management Strategies in the Era of Cloud Computing, 238-260 , 2015
2015
Citations: 3 - A Genetic Algorithmic Approach for Energy Efficient Task Consolidation in Cloud Computing
D Kumar, B Sahoo, B Mondal, T Mandal
International Journal of Computer Applications 118 (2), 1-6 , 2015
2015
Citations: 24 - Enterprise Management Strategies in the Era of Cloud Computing
NR Rao
IGI Global , 2015
2015
Citations: 2 - Performance analysis of greedy Load balancing algorithms in Heterogeneous Distributed Computing System
B Sahoo, D Kumar, SK Jena
International Conference on High Performance Computing and Applications … , 2014
2014
Citations: 22 - Energy Efficient Resource Allocation in Cloud Computing: Heuristic Algorithmic Approaches for Energy Efficient Resource Allocation
D Kumar, B Sahoo
LAP LAMBERT Academic Publishing (June 30, 2014) , 2014
2014 - Energy Efficient Resource Allocation for Cloud Computing
D Kumar
National Institute of Technology Rourkela , 2014
2014
Citations: 27 - Energy Efficient Heuristic Resource Allocation for Cloud Computing
D Kumar, B Sahoo
International Journal of Artificial Intelligent Systems and Machine Learning … , 2014
2014
Citations: 24 - Analysing the Impact of Heterogeneity with Greedy Resource Allocation Algorithms for Dynamic Load Balancing in Heterogeneous Distributed Computing System
B Sahoo, D Kumar, SK Jena
International Journal of Computer Applications 62 (19), 25-34 , 2013
2013
Citations: 18 - Observing the Performance of Greedy algorithms for dynamic load balancing in Heterogeneous Distributed Computing System
B Sahoo, D Kumar, SK Jena
2012
Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
- Energy Efficient Resource Allocation for Cloud Computing
D Kumar
National Institute of Technology Rourkela , 2014
2014
Citations: 27 - A Genetic Algorithmic Approach for Energy Efficient Task Consolidation in Cloud Computing
D Kumar, B Sahoo, B Mondal, T Mandal
International Journal of Computer Applications 118 (2), 1-6 , 2015
2015
Citations: 24 - Energy Efficient Heuristic Resource Allocation for Cloud Computing
D Kumar, B Sahoo
International Journal of Artificial Intelligent Systems and Machine Learning … , 2014
2014
Citations: 24 - Performance analysis of greedy Load balancing algorithms in Heterogeneous Distributed Computing System
B Sahoo, D Kumar, SK Jena
International Conference on High Performance Computing and Applications … , 2014
2014
Citations: 22 - Analysing the Impact of Heterogeneity with Greedy Resource Allocation Algorithms for Dynamic Load Balancing in Heterogeneous Distributed Computing System
B Sahoo, D Kumar, SK Jena
International Journal of Computer Applications 62 (19), 25-34 , 2013
2013
Citations: 18 - Greedy approaches for deadline based task consolidation in cloud computing
D Kumar, T Mandal
2016 International Conference on Computing, Communication and Automation … , 2016
2016
Citations: 4 - Heuristic Task Consolidation Techniques for Energy Efficient Cloud Computing
D Kumar, B Sahoo, T Mandal
Enterprise Management Strategies in the Era of Cloud Computing, 238-260 , 2015
2015
Citations: 3 - Enterprise Management Strategies in the Era of Cloud Computing
NR Rao
IGI Global , 2015
2015
Citations: 2 - Observing the Performance of Greedy algorithms for dynamic load balancing in Heterogeneous Distributed Computing System
B Sahoo, D Kumar, SK Jena
2012
Citations: 2 - Security Challenges in Internet of Things (IoT)
B Mondal, D Kumar, T Mandal
International Journal of Software and Web Sciences 13 (1), 8-13 , 2015
2015 - Energy Efficient Resource Allocation in Cloud Computing: Heuristic Algorithmic Approaches for Energy Efficient Resource Allocation
D Kumar, B Sahoo
LAP LAMBERT Academic Publishing (June 30, 2014) , 2014
2014
