Results 71 to 80 of about 10,144 (180)
Ubiquitous Integrity via Network Integration and Parallelism—Sustaining Pedestrian/Bike Urbanism
Nowadays, due to the concern regarding environmental issues, establishing pedestrian/bike friendly urbanism is widely encouraged. To promote safety-assured, mobile communication environments, efficient, reliable maintenance, and information integrity ...
Li-Yen Hsu
doaj +1 more source
Vehicular Fog Computing Enabled Real-time Collision Warning via Trajectory Calibration
Vehicular fog computing (VFC) has been envisioned as a promising paradigm for enabling a variety of emerging intelligent transportation systems (ITS).
Feng, Liang +5 more
core
Travel Time Prediction: Based on Gated Recurrent Unit Method and Data Fusion
Travel time prediction is the basis for the implementation of advanced traveler information systems and advanced transport management systems in intelligent transportation systems.
Jiandong Zhao +5 more
doaj +1 more source
Security is a crucial factor for information systems and other vital infrastructures. Ensuring robust security measures is imperative due to the substantial volume of network traffic. On the other side, many network components are susceptible to cyber threats and attacks owing to their inherent properties.
Fatima Al‐Quayed +5 more
wiley +1 more source
Dissimilatory sulfite reductases (dSiRs) are crucial enzymes in bacterial sulfur-based energy metabolism, which is likely to have been present in some of the earliest life forms on Earth.
Tania F. Oliveira +7 more
doaj +1 more source
Multi-task Parallel Algorithm for DSRC
AbstractMulti-task parallel algorithm is applied to accelerate the program of DNA Sequence Reads Compressor (DSRC), which is specialized for compressing DNA sequencing data file - FASTQ format file. The compression process is first divided into two parallel tasks: data process task and data input task.
Na, He +3 more
openaire +1 more source
Optimisation of deep neural network model using Reptile meta learning approach
Abstract The artificial intelligence (AI) within the last decade has experienced a rapid development and has attained power to simulate human‐thinking in various situations. When the deep neural networks (DNNs) are trained with huge dataset and high computational resources it can bring out great outcomes.
Uday Kulkarni +6 more
wiley +1 more source
In this paper, we propose a method for routing and optimal CH selection among all. In each cycle and across all VANETs with different topologies, various Vs features are first collected, and then using a heuristic method, the FIS, the OFF value of all Vs is calculated to determine the optimal CHs.
Mosayeb Soleymaninasab +2 more
wiley +1 more source
Non-Uniform Microstrip Antenna Array for DSRC in Single-Lane Structures
Vehicular communications have been subject to a great development in recent years, with multiple applications, such as electronic payments, improving the convenience and comfort of drivers.
Tiago Varum, João N. Matos, Pedro Pinho
doaj +1 more source
A Machine Learning Approach for Secure Communication Using Blockchain for IoT‐Based VANETs
This article is based on the Secure Data communication over VANET through 5G communication. The data is handled using the Blockchain secure mechanism and Decision making is possible using Machine Learning. ABSTRACT Vehicular ad hoc networks (VANETs) have a dynamic topology. This nature makes them highly susceptible to security attacks. It also leads to
Jarallah Alqahtani +3 more
wiley +1 more source

