User profiles for Jitendra Bhatia
Prof (Dr) Jitendra BhatiaInstitute of Technology, Nirma University Verified email at nirmauni.ac.in Cited by 1206 |
Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges
S Khatri, H Vachhani, S Shah, J Bhatia… - Peer-to-Peer Networking …, 2021 - Springer
Low latency in communication among the vehicles and RSUs, smooth traffic flow, and road
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …
SDN-based real-time urban traffic analysis in VANET environment
Accurate and real-time traffic flow prediction plays a central role for efficient traffic management.
Software Defined Networking (SDN) is one of the key concerns in networking that has …
Software Defined Networking (SDN) is one of the key concerns in networking that has …
Automated machine learning: The new wave of machine learning
With the explosion in the use of machine learning in various domains, the need for an efficient
pipeline for the development of machine learning models has never been more critical. …
pipeline for the development of machine learning models has never been more critical. …
Software defined vehicular networks: A comprehensive review
The recent breakthroughs in the automobile industries and telecommunication technologies
along with the exceptional multimodal mobility services brought focus on intelligent …
along with the exceptional multimodal mobility services brought focus on intelligent …
Deep learning-based single-image super-resolution: A comprehensive review
High-fidelity information, such as 4K quality videos and photographs, is increasing as high-speed
internet access becomes more widespread and less expensive. Even though camera …
internet access becomes more widespread and less expensive. Even though camera …
SDN-enabled network coding-based secure data dissemination in VANET environment
Security and reliability in data transmission are considered as the challenging concerns in
VANET. Software-defined networking (SDN) and network coding (NC) are the two key …
VANET. Software-defined networking (SDN) and network coding (NC) are the two key …
SDN-enabled adaptive broadcast timer for data dissemination in vehicular ad hoc networks
This paper presents an adaptive broadcast interval for data dissemination for an
infrastructure-to-vehicle (I2V) environment. The roadside units (RSUs) disseminate the data to the …
infrastructure-to-vehicle (I2V) environment. The roadside units (RSUs) disseminate the data to the …
Machine learning‐based traffic scheduling techniques for intelligent transportation system: Opportunities and challenges
M Nama, A Nath, N Bechra, J Bhatia… - International Journal …, 2021 - Wiley Online Library
The rise in traffic congestion has become a significant concern in the urban city environment.
The conventional traffic control systems with inefficient human resources management fail …
The conventional traffic control systems with inefficient human resources management fail …
An overview of fog data analytics for IoT applications
With the rapid growth in the data and processing over the cloud, it has become easier to
access those data. On the other hand, it poses many technical and security challenges to the …
access those data. On the other hand, it poses many technical and security challenges to the …
Htv dynamic load balancing algorithm for virtual machine instances in cloud
Cloud computing is defined as a structured model that defines computing services, in which
resources as well as data are retrieved from cloud service provider via internet through …
resources as well as data are retrieved from cloud service provider via internet through …