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ORCIDNeetesh Kumar
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2020 – today
- 2024
[j36]Dinesh Soni
, Neetesh Kumar:
Fuzzy logic-based computation offloading technique in fog computing. Concurr. Comput. Pract. Exp. 36(20) (2024)- [j35]Nisha Singh Chauhan, Neetesh Kumar:
Confined attention mechanism enabled Recurrent Neural Network framework to improve traffic flow prediction. Eng. Appl. Artif. Intell. 136: 108791 (2024) - [j34]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): 5277-5307 (2024) - [j33]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): 27:1-27:24 (2024) - [j32]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): 9181-9191 (2024) - [j31]Pooja Mishra, W. Wilfred Godfrey, Neetesh Kumar:
FGCF: fault-aware green computing framework in software-defined social internet of vehicle. J. Supercomput. 80(12): 17423-17459 (2024) - [j30]Anuj Sachan, Neetesh Kumar:
SDN-enabled Quantized LQR for Smart Traffic Light Controller to Optimize Congestion. ACM Trans. Internet Techn. 24(1): 7:1-7:25 (2024) - [j29]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): 10990-11001 (2024) - [j28]Vibha Bharilya, Neetesh Kumar:
Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions. Veh. Commun. 46: 100733 (2024) - 2023
- [j27]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): 7132-7153 (2023) - [j26]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): 1694-1702 (2023) - [j25]Anuj Sachan, Neetesh Kumar:
S-Edge: heterogeneity-aware, light-weighted, and edge computing integrated adaptive traffic light control framework. J. Supercomput. 79(13): 14923-14953 (2023) - [j24]Shikhar Singh Lodhi, Neetesh Kumar, Pradumn Kumar Pandey:
Autonomous vehicular overtaking maneuver: A survey and taxonomy. Veh. Commun. 42: 100623 (2023) - [j23]Indukuri Mani Varma, Neetesh Kumar:
A comprehensive survey on SDN and blockchain-based secure vehicular networks. Veh. Commun. 44: 100663 (2023) - [c9]Anuj Sachan, Nisha Singh Chauhan, Neetesh Kumar:
Congestion Minimization using Fog-deployed DRL-Agent Feedback enabled Traffic Light Cooperative Framework. CCGrid 2023: 557-567 - [c8]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: 801-806 - [c7]Indukuri Mani Varma, Neetesh Kumar:
ZKP-Based Lightweight Authentication Protocol During Handovers in Vehicular Networks. GLOBECOM 2023: 868-873 - [c6]Anuj Sachan, Yash Daultani, Neetesh Kumar:
S-Edge: Smart Edge Computing Framework for Real-time Heterogeneous Vehicular Network. KST 2023: 1-6 - [i1]Vibha Bharilya, Neetesh Kumar:
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions. CoRR abs/2307.07527 (2023) - 2022
- [j22]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) - [j21]Rajni Jindal, Neetesh Kumar, Sanjay Patidar:
IoT streamed data handling model using delta encoding. Int. J. Commun. Syst. 35(13) (2022) - [j20]Dinesh Soni, Neetesh Kumar:
Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy. J. Netw. Comput. Appl. 205: 103419 (2022) - [j19]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): 1231-1241 (2022) - [j18]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): 2411-2421 (2022) - [j17]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): 16048-16058 (2022) - [c5]Nisha Singh Chauhan, Neetesh Kumar:
Traffic Flow Forecasting Using Attention Enabled Bi-LSTM and GRU Hybrid Model. ICONIP (7) 2022: 505-517 - 2021
- [j16]Neetesh Kumar, Deo Prakash Vidyarthi:
A novel energy-efficient scheduling model for multi-core systems. Clust. Comput. 24(2): 643-666 (2021) - [j15]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: 102307 (2021) - [j14]Neetesh Kumar, Navjot Singh, Deo Prakash Vidyarthi:
Artificial lizard search optimization (ALSO): a novel nature-inspired meta-heuristic algorithm. Soft Comput. 25(8): 6179-6201 (2021) - [j13]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): 3644-3653 (2021) - [j12]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): 4919-4928 (2021) - [c4]Vaibhav Garg, Anuj Sachan, Neetesh Kumar, Sarthak Mittal:
Congestion Control utilizing Software Defined Control Architecture at the Traffic Light Intersection. MASS 2021: 597-602 - 2020
- [c3]Rajni Jindal, Neetesh Kumar, Sanjay Patidar:
IoT Stream Data Compression Using LDPC Coding. FICTA (1) 2020: 455-466
2010 – 2019
- 2019
- [j11]Neetesh Kumar, Deo Prakash Vidyarthi:
A Hybrid Heuristic for Load-Balanced Scheduling of Heterogeneous Workload on Heterogeneous Systems. Comput. J. 62(2): 276-291 (2019) - [j10]Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar:
FZ enabled Multi-objective PSO for multicasting in IoT based Wireless Sensor Networks. Inf. Sci. 498: 1-20 (2019) - [j9]Neetesh Kumar, Deo Prakash Vidyarthi:
A green SLA constrained scheduling algorithm for parallel/scientific applications in heterogeneous cluster systems. Sustain. Comput. Informatics Syst. 22: 107-119 (2019) - [j8]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): 215-226 (2019) - [c2]Neetesh Kumar, Syed Shameerur Rahman:
Deep Reinforcement Learning with Vehicle Heterogeneity Based Traffic Light Control for Intelligent Transportation System. ICII 2019: 28-33 - 2018
- [j7]Asif Ali Laghari, Hui He, Asiya Khan, Neetesh Kumar, Rupak Kharel:
Quality of Experience Framework for Cloud Computing (QoC). IEEE Access 6: 64876-64890 (2018) - [j6]Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar:
Forwarding Zone enabled PSO routing with Network lifetime maximization in MANET. Appl. Intell. 48(9): 3053-3080 (2018) - 2017
- [j5]Neetesh Kumar, Deo Prakash Vidyarthi:
A GA based energy aware scheduler for DVFS enabled multicore systems. Computing 99(10): 955-977 (2017) - [j4]Neetesh Kumar, Deo Prakash Vidyarthi:
An Energy Aware Cost Effective Scheduling Framework for Heterogeneous Cluster System. Future Gener. Comput. Syst. 71: 73-88 (2017) - [c1]Rashika Bangroo, Neetesh Kumar, Reya Sharma:
A Model for Multi-processor Task Scheduling Problem Using Quantum Genetic Algorithm. HIS 2017: 126-135 - 2016
- [j3]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): 35-47 (2016) - [j2]Neetesh Kumar, Deo Prakash Vidyarthi:
A model for resource-constrained project scheduling using adaptive PSO. Soft Comput. 20(4): 1565-1580 (2016) - 2014
- [j1]Neetesh Kumar, Deo Prakash Vidyarthi:
Improved scheduler for multi-core many-core systems. Computing 96(11): 1087-1110 (2014)
Coauthor Index
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