Referred Journal Papers


1.

Dinesh Soni, Neetesh Kumar, "Fuzzy logic-based computation offloading technique in fog computing", in Concurrency and Computation: Practice and Experience , Accepted, June, 2024. DOI: 10.1002/cpe.8198

2.

Nisha Singh, Neetesh Kumar, "CAM-RNN: Confined Attention Mechanism enabled RNN framework to improve traffic flow prediction", in Elsevier-Engineering Applications of AI, Accepted, June, 2024. DOI:

3.

Neetesh Kumar, Navjot Singh, Anuj Sachan, Rashmi Chaudhry, "SIoV Mobility Management using SDVN-enabled Traffic Light Corporative Framework", in ACM Transactions on Cyber Physical Systems, Accepted, March, 2024. DOI: 10.1145/3653721

4.

Anuj Sachan, Neetesh Kumar, E. Azim, "SDVN enabled traffic light cooperative framework for E-SIoV mobility in a smart city scenario", in IEEE Transactions on Vehicular Technology, Accepted Feb, 2024. DOI: 10.1109/TVT.2024.3376555

5.

Nisha Singh Chauhan, Neetesh Kumar, E. Azim, "A Novel Confined Attention Mechanism Driven Bi-GRU Model for Traffic Flow Prediction", in IEEE Transactions on Intelligent Transportation Systems, Accepted Feb, 2024. DOI: 10.1109/TITS.2024.3375890

6.

Nisha Singh Chauhan, Neetesh Kumar, "Novel Confined Attention Enabled Hierarchical Bi-LSTM and Bi-GRU Fusion: A Multi-scale Traffic Flow Prediction Application", in IEEE Transactions on Computational Social Systems, Accepted May, 2024. DOI:

7.

Sanjay Patidar, Rajni Jindal, Neetesh Kumar, "IoT Data Stream Handling, Analysis, Communication and Security Issues: A Systematic Survey", in Wireless Personal communications, Accepted April, 2024. DOI: 10.1007/s11277-024-11177-1

8.

Vibha Bharilya, Neetesh Kumar, "Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions", in Elsevier -Vehicular Communications, Accepted Jan, 2024. DOI: 10.1016/j.vehcom.2024.100733

9.

Sanjay Patidar, Rajni Jindal, Neetesh Kumar, "A Secure and Energy-Efficient Edge computing Improved SZ 2.1 Hybrid Algorithm for Handling IoT Data Stream", in Multimedia Tools and Applications, Accepted Feb, 2024. DOI: 10.1007/s11042-024-18765-0

10.

Neetesh Kumar, Sarthak Mittal, Vaibhav Garg, "Deep Reinforcement Learning based Traffic Light Scheduling Framework for SDN-enabled Smart Transportation System", in IEEE Transactions on Intelligent Transportation System, Accepted August, 2021. DOI:

11.

Anuj Sachan, Neetesh Kumar, "S-Edge: heterogeneity-aware, light-weighted, and edge computing integrated adaptive traffic light control framework", in The Journal of Supercomputing, Springer, Accepted, 2023. DOI: 10.1007/s11227-023-05216-0

12.

I. Mani Varma, Neetesh Kumar, "A Comprehensive survey on SDN and Blockchain based Vehicular Networks", in Journal of Vehicular Communications, Accepted August, 2023. DOI: 10.1016/j.vehcom.2023.100663

13.

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", in Journal of Multimedia Tools and Applications, Accepted April,2023. DOI: 10.1007/s11042-023-15520-9

14.

Anuj Sachan, Neetesh Kumar, "SDN-enabled Quantized LQR for Smart Traffic Light Controller to Optimize Congestion", in ACM Transactions on Internet Technology, Accepted, January, 2023. DOI: 10.1145/3641104

15.

Shikhar Singh Lodhi, Neetesh Kumar, Pradumn Kumar Pandey, "Autonomous Vehicular Overtaking Maneuver: A Survey and Taxonomy", in Journal of Vehicular Communications, Accepted May,2023. DOI: 10.1016/j.vehcom.2023.100623

16.

Anuj Sachan, Neetesh Kumar, "S-Edge: Heterogeneity Aware, Light-weighted, and Edge Computing Integrated Adaptive Traffic Light Control Framework" in The Journal of Supercomputing, Accepted Mar, 2023. DOI: 10.1007/s11227-023-05216-0

17.

Anuj Sachan, Neetesh Kumar, "SDN Control Enabled and Time-Quantum Driven Max-Pressure Approach for Intersection Management in Smart City", in IEEE Systems Journal, Accepted Sep, 2022. DOI: 10.1109/JSYST.2022.3211933

18.

Dheeraj Jutury, Neetesh Kumar, Anuj Sachan, Yash Daultani and Naveen Dhakad, "Adaptive Neuro-Fuzzy enabled Multi-mode Traffic Light Control System for Urban Transport Network ", in Applied Intelligence, Springer, In press, Accepted May 2022. DOI: 10.1007/s10489-022-03827-3

19.

Rajni Jindal, Neetesh Kumar and and Sanjay Patidar, "IoT Streamed Data Handling Model using Delta Encoding", in International Journal of Communication Systems, Wiley, In press, Accepted May 2022. DOI: 10.1002/dac.5243

20.

Dinesh Soni, Neetesh Kumar, "Machine Learning Techniques in Emerging Cloud Computing Integrated Paradigms: A Survey and Taxonomy", in Journal of Network and Computer Applications, Elsevier, In press, Accepted May 2022. DOI: 10.1016/j.jnca.2022.103419.

21.

Neetesh Kumar , Rashmi Chaudhry, O.P. katwariya , N. Kumar, “ChaseMe: A Heuristic Scheme for Electric Vehicles Mobility Management on Charging Stations in a Smart City Scenario”, in IEEE Transactions on Intelligent Transportation System, Accepted Feb 2022. DOI: 10.1109/TITS.2022.3147685.

22.

Pooja Mishra, Neetesh Kumar, and W. W. Wilfred Godfrey, An Evolutionary Computing based Energy-efficient Solution for IoT-enabled Software-Defined Sensor Network Architecture”, in International Journal of Communication Systems, Wiley, Jan, 2022. DOI: 10.1002/dac.5111.

23.

Rashmi Chaudhry,Neetesh Kumar “ A Multi-objective Meta-heuristic Solution for Green Computing in Software-Defined Wireless Sensor Networks ", IEEE Transactions on Green Communications and Networking. DOI : 10.1109/TGCN.2021.3122078

24.

Neetesh Kumar , Sarthak Mittal, Vaibhav Garg, Neeraj Kumar, “ Deep Reinforcement Learning-Based Traffic Light Scheduling Framework for SDN-Enabled Smart Transportation System ", IEEE Transactions on Intelligent Transportation System. DOI : 10.1109/TITS.2021.3095161

25.

Neetesh Kumar , Deo Prakash Vidyarthi, “ A novel energy-efficient scheduling model for multi-core systems " Cluster Computing. DOI : 10.1007/s10586-020-03143-w

26.

Neetesh Kumar , Deo Prakash Vidyarthi, Rajkumar Buyya “ Fog-Integrated Cloud Architecture enabled multi-attribute combinatorial reverse auctioning framework " Simulation Modelling Practice and Theory DOI: 10.1016/j.simpat.2021.102307

27.

Neetesh Kumar , Navjot Singh, Deo Prakash Vidyarthi “ Artificial lizard search optimization (ALSO): a novel nature-inspired meta-heuristic algorithm " Soft Computing DOI : 0.1007/s00500-021-05606-7

28.

Neetesh Kumar , Rashmi Chaudhry, O.P. katwariya, “Green Communication in Software Defined Social Internet of Vehicles, IEEE Transactions on Intelligent Transportation System. DOI: 10.1109/TITS.2020.3028695

29.

Neetesh Kumar , S. Rahman and Naveen Dhakad, “Fuzzy Inference Enabled Deep Reinforcement Learning based Traffic Light Control for Intelligent Transportation System” IEEE Transactions on Intelligent Transportation System (ITS) DOI: 10.1109/JSEN.2018.2869629 ,

30.

Neetesh Kumar , D.P. Vidhyarthi (2018), “A Green Routing Algorithm for IoT enabled Software Defined Wireless Sensor Network " IEEE Sensors journal, 18(22), 9449-9460 DOI: 10.1109/JSEN.2018.2869629 . notified by IEEE council in the list of world’s top 15 most downloaded articles in the month of Oct-Nov 2018.

31.

Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar , “A Green Multicast Routing Algorithm for Smart Sensor Networks in Disaster Management ” IEEE Transactions on Green Communications and Networking . DOI: 10.1109/TGCN.2019.2891752

32.

Neetesh Kumar , D.P. Vidhyarthi (2017), “An Energy Aware Cost-Effective Scheduling Framework for Heterogeneous Cluster System”, in Elsevier, Future Generation Computer Systems 71, 73–88, DOI: 10.1016/j.future.2017.01.015

33.

Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar "Forwarding zone enabled Many-objective Particle Swarm Optimization for Multicast Routing Problem", (2019)Information Sciences, Elsevier. DOI: 10.1016/j.ins.2019.05.002

34.

Neetesh Kumar , D.P. Vidhyarthi, “A green SLA constrained scheduling algorithm for parallel/scientific applications in heterogeneous cluster systems”, in Journal of Sustainable Computing, Elsevier, 22 (2019) 107–119. DOI: 10.1016/j.suscom.2019.02.001

35.

Asif ali laghari, Hui He, Asiya Khan, Neetesh Kumar , Kharel, Rupak (2018), “QoC: Quality of Experience (QoE) Framework for Cloud Computing”, IEEE Access, 6, 64876-64890. DOI: 10.1109/ACCESS.2018.2865967

36.

Neetesh Kumar , D.P. Vidhyarthi (2018), “GA Inspired Hybrid Heuristic for Load Balancing on Multi-Core Many/core Systems” in the Computer Journal Oxford Press. DOI: 10.1093/comjnl/bxy085

37.

Rashmi Chaudhry, Shashikala Tapaswi, Neetesh Kumar (2018), "Forwarding Zone enabled PSO routing with Network lifetime maximization in MANET", in Applied Intelligence, Springer, 1-28. DOI: 10.1007/s10489-017-1127-5

38.

Neetesh Kumar , D.P. Vidhyarthi (2017), “A GA based energy aware scheduler for DVFS enabled multicore systems,” in Computing, Springer. Computing, 99(10), 955-977 . DOI: 10.1007/s00607-017-0540-2

39.

Neetesh Kumar , D.P. Vidhyarthi (2016), “A Model for Resource Constrained Project Scheduling using Adaptive-PSO,” in Soft Computing, Springer , 20(4), 1565–1580, DOI: 10.1007/s00500-015-1606-8.

40.

Neetesh Kumar, D.P. Vidhyarthi (2016), “A novel hybrid PSO–GA meta-heuristic for scheduling of DAG with communication on multiprocessor systems,” in Engineering with Computers , Springer, 32(1), 35-47. . DOI: 10.1007/s00366-015-0396-z.

41.

Neetesh Kumar , D.P. Vidhyarthi (2014), “Improved Scheduler for Multi-Core Many –Core Systems,” in Journal of Computing. Springer . Computing 96(11), 1087–1110. DOI: 10.1007/s00607-014-0420-y.