Improved scheduler for multi-core many-core systems. - Neetesh Kumar; Deo Prakash Vidyarthi (Computing, 2014)

A novel hybrid PSO-GA meta-heuristic for scheduling of DAG with communication on multiprocessor systems. - Neetesh Kumar; Deo Prakash Vidyarthi (Eng. Comput., 2016)

A model for resource-constrained project scheduling using adaptive PSO. - Neetesh Kumar; Deo Prakash Vidyarthi (Soft Comput., 2016)

A Model for Multi-processor Task Scheduling Problem Using Quantum Genetic Algorithm. - Rashika Bangroo; Neetesh Kumar; Reya Sharma (HIS, 2017)

A GA based energy aware scheduler for DVFS enabled multicore systems. - Neetesh Kumar; Deo Prakash Vidyarthi (Computing, 2017)

An Energy Aware Cost Effective Scheduling Framework for Heterogeneous Cluster System. - Neetesh Kumar; Deo Prakash Vidyarthi (Future Gener. Comput. Syst., 2017)

Quality of Experience Framework for Cloud Computing (QoC). - Asif Ali Laghari; Hui He; Asiya Khan; Neetesh Kumar; Rupak Kharel (IEEE Access, 2018)

Forwarding Zone enabled PSO routing with Network lifetime maximization in MANET. - Rashmi Chaudhry; Shashikala Tapaswi; Neetesh Kumar (Appl. Intell., 2018)

Deep Reinforcement Learning with Vehicle Heterogeneity Based Traffic Light Control for Intelligent Transportation System. - Neetesh Kumar; Syed Shameerur Rahman (ICII, 2019)

A Hybrid Heuristic for Load-Balanced Scheduling of Heterogeneous Workload on Heterogeneous Systems. - Neetesh Kumar; Deo Prakash Vidyarthi (Comput. J., 2019)

FZ enabled Multi-objective PSO for multicasting in IoT based Wireless Sensor Networks. - Rashmi Chaudhry; Shashikala Tapaswi; Neetesh Kumar (Inf. Sci., 2019)

A green SLA constrained scheduling algorithm for parallel/scientific applications in heterogeneous cluster systems. - Neetesh Kumar; Deo Prakash Vidyarthi (Sustain. Comput. Informatics Syst., 2019)

A Green Multicast Routing Algorithm for Smart Sensor Networks in Disaster Management. - Rashmi Chaudhry; Shashikala Tapaswi; Neetesh Kumar (IEEE Trans. Green Commun. Netw., 2019)

IoT Stream Data Compression Using LDPC Coding. - Rajni Jindal; Neetesh Kumar; Sanjay Patidar (FICTA (1), 2020)

Congestion Control utilizing Software Defined Control Architecture at the Traffic Light Intersection. - Vaibhav Garg; Anuj Sachan; Neetesh Kumar; Sarthak Mittal (MASS, 2021)

A novel energy-efficient scheduling model for multi-core systems. - Neetesh Kumar; Deo Prakash Vidyarthi (Clust. Comput., 2021)

Fog-Integrated Cloud Architecture enabled multi-attribute combinatorial reverse auctioning framework. - Anubha Aggarwal; Neetesh Kumar; Deo Prakash Vidyarthi; Rajkumar Buyya (Simul. Model. Pract. Theory, 2021)

Artificial lizard search optimization (ALSO): a novel nature-inspired meta-heuristic algorithm. - Neetesh Kumar; Navjot Singh 002; Deo Prakash Vidyarthi (Soft Comput., 2021)

Green Computing in Software Defined Social Internet of Vehicles. - Neetesh Kumar; Rashmi Chaudhry; Omprakash Kaiwartya; Neeraj Kumar 001; Syed Hassan Ahmed (IEEE Trans. Intell. Transp. Syst., 2021)

Fuzzy Inference Enabled Deep Reinforcement Learning-Based Traffic Light Control for Intelligent Transportation System. - Neetesh Kumar; Syed Shameerur Rahman; Navin Dhakad (IEEE Trans. Intell. Transp. Syst., 2021)

Traffic Flow Forecasting Using Attention Enabled Bi-LSTM and GRU Hybrid Model. - Nisha Singh Chauhan; Neetesh Kumar (ICONIP (7), 2022)

IoT streamed data handling model using delta encoding. - Rajni Jindal; Neetesh Kumar; Sanjay Patidar (Int. J. Commun. Syst., 2022)

An evolutionary computing-based energy-efficient solution for IoT-enabled software-defined sensor network architecture. - Pooja Mishra; Neetesh Kumar; W. Wilfred Godfrey (Int. J. Commun. Syst., 2022)

Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy. - Dinesh Soni; Neetesh Kumar (J. Netw. Comput. Appl., 2022)

A Multi-Objective Meta-Heuristic Solution for Green Computing in Software-Defined Wireless Sensor Networks. - Rashmi Chaudhry; Neetesh Kumar (IEEE Trans. Green Commun. Netw., 2022)

ChaseMe: A Heuristic Scheme for Electric Vehicles Mobility Management on Charging Stations in a Smart City Scenario. - Neetesh Kumar; Rashmi Chaudhry; Omprakash Kaiwartya; Neeraj Kumar 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Deep Reinforcement Learning-Based Traffic Light Scheduling Framework for SDN-Enabled Smart Transportation System. - Neetesh Kumar; Sarthak Mittal; Vaibhav Garg; Neeraj Kumar 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Congestion Minimization using Fog-deployed DRL-Agent Feedback enabled Traffic Light Cooperative Framework. - Anuj Sachan; Nisha Singh Chauhan; Neetesh Kumar (CCGrid, 2023)

A Host Kernel-Based Approach for Tracing and Analyzing vCPUs in Virtual Machines. - Ravjot Singh; Prakhar Gupta; Naman Jain; Neetesh Kumar; Pravendra Singh (GLOBECOM, 2023)

ZKP-Based Lightweight Authentication Protocol During Handovers in Vehicular Networks. - Indukuri Mani Varma; Neetesh Kumar (GLOBECOM, 2023)

S-Edge: Smart Edge Computing Framework for Real-time Heterogeneous Vehicular Network. - Anuj Sachan; Yash Daultani; Neetesh Kumar (KST, 2023)

Adaptive neuro-fuzzy enabled multi-mode traffic light control system for urban transport network. - Dheeraj Jutury; Neetesh Kumar; Anuj Sachan; Yash Daultani; Naveen Dhakad (Appl. Intell., 2023)

SDN Control-Enabled and Time-Quantum-Driven Max-Pressure Approach for Intersection Management in Smart City. - Anuj Sachan; Neetesh Kumar (IEEE Syst. J., 2023)

Autonomous vehicular overtaking maneuver: A survey and taxonomy. - Shikhar Singh Lodhi; Neetesh Kumar; Pradumn Kumar Pandey (Veh. Commun., 2023)

S-Edge: heterogeneity-aware, light-weighted, and edge computing integrated adaptive traffic light control framework. - Anuj Sachan; Neetesh Kumar (J. Supercomput., 2023)

A comprehensive survey on SDN and blockchain-based secure vehicular networks. - Indukuri Mani Varma; Neetesh Kumar (Veh. Commun., 2023)

TrajAngleNet: Transformer-Based Trajectory Prediction Through Multi-task Learning with Angle Prediction. - Vibha Bharilya; Neetesh Kumar (ICONIP (1), 2024)

Real-time Data-driven Smart Traffic Light Co-operative Framework for E-SIOV Mobility Management. - Anuj Sachan; Nisha Singh Chauhan; Neetesh Kumar (VTC Fall, 2024)

Focus Where It Matters: Graph Selective State Focused Attention Networks. - Shikhar Vashistha; Neetesh Kumar (CoRR, 2024)

Confined attention mechanism enabled Recurrent Neural Network framework to improve traffic flow prediction. - Nisha Singh Chauhan; Neetesh Kumar (Eng. Appl. Artif. Intell., 2024)

Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions. - Vibha Bharilya; Neetesh Kumar (Veh. Commun., 2024)

Improved YOLOv5l for vehicle detection: an application to estimating traffic density and identifying over speeding vehicles on highway scenes. - Navjot Singh 002; Paras Saini; Om Shubham; Rituraj Awasthi; Anurag Bharti; Neetesh Kumar (Multim. Tools Appl., 2024)

SDN-enabled Quantized LQR for Smart Traffic Light Controller to Optimize Congestion. - Anuj Sachan; Neetesh Kumar (ACM Trans. Internet Techn., 2024)

SIoV Mobility Management Using SDVN-Enabled Traffic Light Cooperative Framework. - Neetesh Kumar; Navjot Singh 002; Anuj Sachan; Rashmi Chaudhry (ACM Trans. Cyber Phys. Syst., 2024)

A Novel Confined Attention Mechanism Driven Bi-GRU Model for Traffic Flow Prediction. - Nisha Singh Chauhan; Neetesh Kumar; Azim Eskandarian (IEEE Trans. Intell. Transp. Syst., 2024)

FGCF: fault-aware green computing framework in software-defined social internet of vehicle. - Pooja Mishra; W. Wilfred Godfrey; Neetesh Kumar (J. Supercomput., 2024)

SDVN Enabled Traffic Light Cooperative Framework for E-SIoV Mobility in a Smart City Scenario. - Anuj Sachan; Neetesh Kumar (IEEE Trans. Veh. Technol., 2024)

Fuzzy logic-based computation offloading technique in fog computing. - Dinesh Soni; Neetesh Kumar (Concurr. Comput. Pract. Exp., 2024)

A secure and energy-efficient edge computing improved SZ 2.1 hybrid algorithm for handling iot data stream. - Sanjay Patidar; Rajni Jindal; Neetesh Kumar (Multim. Tools Appl., 2024)

Novel Confined Attention-Enabled Hierarchical Bi-LSTM and Bi-GRU Fusion: A Multiscale Traffic Flow Prediction Application. - Nisha Singh Chauhan; Neetesh Kumar (IEEE Trans. Comput. Soc. Syst., 2024)

Dynamic Option Policy Enabled Hierarchical Deep Reinforcement Learning Model for Autonomous Overtaking Maneuver. - Shikhar Singh Lodhi; Neetesh Kumar; Pradumn Kumar Pandey (IEEE Trans. Intell. Transp. Syst., 2025)

Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes. - Ashok Arora; Neetesh Kumar (CoRR, 2025)

Self-Supervised Transformer for Trajectory Prediction Using Noise Imputed Past Trajectory. - Vibha Bharilya; Ashok Arora; Neetesh Kumar (IEEE Trans. Intell. Transp. Syst., 2025)