Results 81 to 90 of about 16,406 (207)

Deep Learning for Joint Adaptations of Transmission Rate and Payload Length in Vehicular Networks

Sensors, 2019
Recently, vehicular networks have emerged to facilitate intelligent transportation systems (ITS). They enable vehicles to communicate with each other in order to provide various services such as traffic safety, autonomous driving, and entertainments. The
Mohamed Elwekeil, Taotao Wang, Shengli Zhang   +2 more
doaj   +1 more source

A cybersecurity risk analysis framework for systems with artificial intelligence components

International Transactions in Operational Research, Volume 33, Issue 2, Page 798-825, March 2026.
Abstract The introduction of the European Union Artificial Intelligence (AI) Act, the NIST AI Risk Management Framework, and related international norms and policy documents demand a better understanding and implementation of novel risk analysis issues when facing systems with AI components: dealing with new AI‐related impacts; incorporating AI‐based ...
J.M. Camacho, A. Couce‐Vieira, D. Arroyo, D.R. Insua   +3 more
wiley   +1 more source

Development of a Four‐Language Questionnaire to Investigate Environmental Risk Factors for the Development of Canine Atopic Dermatitis and to Monitor Disease Course and Progression

Veterinary Dermatology, Volume 37, Issue 1, Page 34-44, February 2026.
Background: The chronic and multifactorial character of canine atopic dermatitis (cAD) often leads to poor disease control and treatment dissatisfaction. Environmental factors are likely to contribute to the disease development and may play a more important role than assumed previously.
Patricia Clara‐Maria Rhodius, Nina Fischer, Ana Rostaher, Franco Martini, Edwin Chapman, Sabrina Audergon, Stefan Hobi, Georg Lehner, Sylvie Wilhelm, Noëmi van Oordt, Claude Favrot, Malwina Kowalska   +11 more
wiley   +1 more source

Analyzing the First-Order Statistical Properties of Vehicle-to-Vehicle Rician Fading Channel

IEEE Access
Vehicle-to-vehicle (V2V) communication channels have distinct characteristics compared to fixed-to-mobile channels (F2M). Both the transmitter and receiver in V2V systems use low-elevation antennas and are in motion, and the surrounding environment and ...
Sylvester T. Akiishi, Ebenezer Esenogho, Ahmed Ali, Modisane Cameron   +3 more
doaj   +1 more source

Vehicle to Vehicle (V2V) Communication for Collision Avoidance for Multi-Copters Flying in UTM -TCL4 [PDF]

NASAs UAS Traffic management (UTM) research initiative is aimed at identifying requirements for safe autonomous operations of UAS operating in dense urban environments.
Baculi, Joshua, Chakrabarty, Anjan, Hening, Sebastian, Ippolito, Corey, Krishnakumar, Kalmanje   +4 more
core   +1 more source

Reinforcement Learning for Robust Modulation Classification in Non‐Orthogonal Multiple Access (NOMA) Systems

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper proposes a reinforcement learning–based framework for robust modulation classification and resource management in non‐orthogonal multiple access (NOMA) systems. By integrating Q‐learning, deep reinforcement learning, and proximal policy optimisation, the approach enhances spectral efficiency, mitigates interference, and improves ...
Mohammed M. Alammar, Abdulrahman Al Ayidh, Muneer Parayangat, Mohamed Abd Elhamid Abbas   +3 more
wiley   +1 more source

Intelligent Vehicle-to-Vehicle Charging Navigation for Mobile Electric Vehicles via VANET-Based Communication

IEEE Access, 2019
A direct vehicle-to-vehicle (V2V) charging scheme supplies flexible and fast energy exchange way for electric vehicles (EVs) without the supports of charging stations.
Guangyu Li, Qiang Sun, Lila Boukhatem, Jinsong Wu, Jian Yang   +4 more
doaj   +1 more source

A Measurement Based Shadow Fading Model for Vehicle-to-Vehicle Network Simulations

, 2015
The vehicle-to-vehicle (V2V) propagation channel has significant implications on the design and performance of novel communication protocols for vehicular ad hoc networks (VANETs).
Abbas, Taimoor, Karedal, Johan, Sjöberg, Katrin, Tufvesson, Fredrik   +3 more
core   +2 more sources

Physical Parameters Estimation Using Roadside Monocular Vision

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper proposes a new monocular vision‐based roadside perception and measurement method, which combines deep learning‐based target detection algorithms and coordinate transformation methods to measure different kinds of physical parameters of the targets and give GPS information under the global navigation satellite system, in order to meet the ...
Nijia Zhang, Mingfeng Lu, Shoutong Yuan, Chen Liu, Yan Wang, Zhen Yang, Canjie Zhu, Ziyi Chen, Shuai Zhang, Feng Zhang, Ran Tao, Weidong Hu, Xiongjun Fu   +12 more
wiley   +1 more source

MA‐LCPPA: A Multi‐Aggregator Lattice‐Based Conditional Privacy‐Preserving Authentication Scheme for Scalable and Quantum‐Secure VANETs

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper addresses the limitations of existing conditional privacy‐preserving authentication (CPPA) schemes in vehicular ad hoc networks (VANETs), which are either computationally heavy or vulnerable to quantum attacks. It proposes a multi‐aggregator lattice‐based CPPA (MA‐LCPPA) framework that distributes verification across multiple roadside units ...
Adi El‐Dalahmeh, Jie Li
wiley   +1 more source