Neetesh Kumar

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 45

Top Topics

Reinforcement Learning

Wireless Sensor Networks

Top Venues

IEEE Trans. Intell. Transp. Syst.

IEEE Trans. Green Commun. Netw.

Publications

Pooja Mishra, W. Wilfred Godfrey, Neetesh Kumar
FGCF: fault-aware green computing framework in software-defined social internet of vehicle. J. Supercomput. 80 (12) (2024)
Navjot Singh, Paras Saini, Om Shubham, Rituraj Awasthi, Anurag Bharti, Neetesh Kumar
Improved YOLOv5l for vehicle detection: an application to estimating traffic density and identifying over speeding vehicles on highway scenes. Multim. Tools Appl. 83 (2) (2024)
Nisha Singh Chauhan, Neetesh Kumar, Azim Eskandarian
A Novel Confined Attention Mechanism Driven Bi-GRU Model for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Anuj Sachan, Neetesh Kumar
SDN-enabled Quantized LQR for Smart Traffic Light Controller to Optimize Congestion. ACM Trans. Internet Techn. 24 (1) (2024)
Anuj Sachan, Neetesh Kumar
SDVN Enabled Traffic Light Cooperative Framework for E-SIoV Mobility in a Smart City Scenario. IEEE Trans. Veh. Technol. 73 (8) (2024)
Dinesh Soni, Neetesh Kumar
Fuzzy logic-based computation offloading technique in fog computing. Concurr. Comput. Pract. Exp. 36 (20) (2024)
Vibha Bharilya, Neetesh Kumar
Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions. Veh. Commun. 46 (2024)
Neetesh Kumar, Navjot Singh, Anuj Sachan, Rashmi Chaudhry
SIoV Mobility Management Using SDVN-Enabled Traffic Light Cooperative Framework. ACM Trans. Cyber Phys. Syst. 8 (3) (2024)
Nisha Singh Chauhan, Neetesh Kumar
Confined attention mechanism enabled Recurrent Neural Network framework to improve traffic flow prediction. Eng. Appl. Artif. Intell. 136 (2024)
Vibha Bharilya, Neetesh Kumar
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions. CoRR (2023)
Shikhar Singh Lodhi, Neetesh Kumar, Pradumn Kumar Pandey
Autonomous vehicular overtaking maneuver: A survey and taxonomy. Veh. Commun. 42 (2023)
Anuj Sachan, Neetesh Kumar
SDN Control-Enabled and Time-Quantum-Driven Max-Pressure Approach for Intersection Management in Smart City. IEEE Syst. J. 17 (1) (2023)
Ravjot Singh, Prakhar Gupta, Naman Jain, Neetesh Kumar, Pravendra Singh
A Host Kernel-Based Approach for Tracing and Analyzing vCPUs in Virtual Machines. GLOBECOM (2023)
Indukuri Mani Varma, Neetesh Kumar
A comprehensive survey on SDN and blockchain-based secure vehicular networks. Veh. Commun. 44 (2023)
Anuj Sachan, Neetesh Kumar
S-Edge: heterogeneity-aware, light-weighted, and edge computing integrated adaptive traffic light control framework. J. Supercomput. 79 (13) (2023)
Dheeraj Jutury, Neetesh Kumar, Anuj Sachan, Yash Daultani, Naveen Dhakad
Adaptive neuro-fuzzy enabled multi-mode traffic light control system for urban transport network. Appl. Intell. 53 (6) (2023)
Anuj Sachan, Nisha Singh Chauhan, Neetesh Kumar
Congestion Minimization using Fog-deployed DRL-Agent Feedback enabled Traffic Light Cooperative Framework. CCGrid (2023)
Indukuri Mani Varma, Neetesh Kumar
ZKP-Based Lightweight Authentication Protocol During Handovers in Vehicular Networks. GLOBECOM (2023)
Anuj Sachan, Yash Daultani, Neetesh Kumar
S-Edge: Smart Edge Computing Framework for Real-time Heterogeneous Vehicular Network. KST (2023)
Neetesh Kumar, Sarthak Mittal, Vaibhav Garg, Neeraj Kumar
Deep Reinforcement Learning-Based Traffic Light Scheduling Framework for SDN-Enabled Smart Transportation System. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Dinesh Soni, Neetesh Kumar
Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy. J. Netw. Comput. Appl. 205 (2022)
Neetesh Kumar, Rashmi Chaudhry, Omprakash Kaiwartya, Neeraj Kumar
ChaseMe: A Heuristic Scheme for Electric Vehicles Mobility Management on Charging Stations in a Smart City Scenario. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Nisha Singh Chauhan, Neetesh Kumar
Traffic Flow Forecasting Using Attention Enabled Bi-LSTM and GRU Hybrid Model. ICONIP (7) (2022)
Pooja Mishra, Neetesh Kumar, W. Wilfred Godfrey
An evolutionary computing-based energy-efficient solution for IoT-enabled software-defined sensor network architecture. Int. J. Commun. Syst. 35 (8) (2022)
Rajni Jindal, Neetesh Kumar, Sanjay Patidar
IoT streamed data handling model using delta encoding. Int. J. Commun. Syst. 35 (13) (2022)
Rashmi Chaudhry, Neetesh Kumar
A Multi-Objective Meta-Heuristic Solution for Green Computing in Software-Defined Wireless Sensor Networks. IEEE Trans. Green Commun. Netw. 6 (2) (2022)
Neetesh Kumar, Deo Prakash Vidyarthi
A novel energy-efficient scheduling model for multi-core systems. Clust. Comput. 24 (2) (2021)
Neetesh Kumar, Navjot Singh, Deo Prakash Vidyarthi
Artificial lizard search optimization (ALSO): a novel nature-inspired meta-heuristic algorithm. Soft Comput. 25 (8) (2021)
Neetesh Kumar, Rashmi Chaudhry, Omprakash Kaiwartya, Neeraj Kumar, Syed Hassan Ahmed
Green Computing in Software Defined Social Internet of Vehicles. IEEE Trans. Intell. Transp. Syst. 22 (6) (2021)
Anubha Aggarwal, Neetesh Kumar, Deo Prakash Vidyarthi, Rajkumar Buyya
Fog-Integrated Cloud Architecture enabled multi-attribute combinatorial reverse auctioning framework. Simul. Model. Pract. Theory 109 (2021)
Neetesh Kumar, Syed Shameerur Rahman, Navin Dhakad
Fuzzy Inference Enabled Deep Reinforcement Learning-Based Traffic Light Control for Intelligent Transportation System. IEEE Trans. Intell. Transp. Syst. 22 (8) (2021)
Vaibhav Garg, Anuj Sachan, Neetesh Kumar, Sarthak Mittal
Congestion Control utilizing Software Defined Control Architecture at the Traffic Light Intersection. MASS (2021)
Rajni Jindal, Neetesh Kumar, Sanjay Patidar
IoT Stream Data Compression Using LDPC Coding. FICTA (1) (2020)
Neetesh Kumar, Deo Prakash Vidyarthi
A Hybrid Heuristic for Load-Balanced Scheduling of Heterogeneous Workload on Heterogeneous Systems. Comput. J. 62 (2) (2019)
Neetesh Kumar, Deo Prakash Vidyarthi
A green SLA constrained scheduling algorithm for parallel/scientific applications in heterogeneous cluster systems. Sustain. Comput. Informatics Syst. 22 (2019)
Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar
A Green Multicast Routing Algorithm for Smart Sensor Networks in Disaster Management. IEEE Trans. Green Commun. Netw. 3 (1) (2019)
Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar
FZ enabled Multi-objective PSO for multicasting in IoT based Wireless Sensor Networks. Inf. Sci. 498 (2019)
Neetesh Kumar, Syed Shameerur Rahman
Deep Reinforcement Learning with Vehicle Heterogeneity Based Traffic Light Control for Intelligent Transportation System. ICII (2019)
Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar
Forwarding Zone enabled PSO routing with Network lifetime maximization in MANET. Appl. Intell. 48 (9) (2018)
Asif Ali Laghari, Hui He, Asiya Khan, Neetesh Kumar, Rupak Kharel
Quality of Experience Framework for Cloud Computing (QoC). IEEE Access 6 (2018)
Neetesh Kumar, Deo Prakash Vidyarthi
A GA based energy aware scheduler for DVFS enabled multicore systems. Computing 99 (10) (2017)
Neetesh Kumar, Deo Prakash Vidyarthi
An Energy Aware Cost Effective Scheduling Framework for Heterogeneous Cluster System. Future Gener. Comput. Syst. 71 (2017)
Rashika Bangroo, Neetesh Kumar, Reya Sharma
A Model for Multi-processor Task Scheduling Problem Using Quantum Genetic Algorithm. HIS (2017)
Neetesh Kumar, Deo Prakash Vidyarthi
A model for resource-constrained project scheduling using adaptive PSO. Soft Comput. 20 (4) (2016)
Neetesh Kumar, Deo Prakash Vidyarthi
A novel hybrid PSO-GA meta-heuristic for scheduling of DAG with communication on multiprocessor systems. Eng. Comput. 32 (1) (2016)
Neetesh Kumar, Deo Prakash Vidyarthi
Improved scheduler for multi-core many-core systems. Computing 96 (11) (2014)