Results 11 to 20 of about 58 (50)
A Method to Reduce Route Discovery Cost of UAV Ad Hoc Network
The unmanned aerial vehicle communication networks (UAVCNs) are composed of unmanned aerial vehicles (UAVs) connected in ad hoc mode to facilitate vertical communication in 5G and beyond networks. UAVs operating in an ad hoc mode of operation mostly use reactive routing protocols to establish routes in the network to reduce the energy consumption of ...
Abdullah Waqas +5 more
wiley +1 more source
Quantum medical images processing foundations and applications
Abstract Medical imaging is considered one of the most important areas within scientific imaging due to the rapid and ongoing development in computer‐aided medical image visualisation, advances in analysis approaches, and computer‐aided diagnosis.
Ahmed Elaraby
wiley +1 more source
Review of restoration technology for renewable‐dominated electric power systems
Abstract With the rapid development of renewable energy generation and multi‐energy system technologies, reviewing and discussing the emerging power system restoration methods and key technologies suitable for renewable‐dominated electric power systems and the Energy Internet are important. Based on this, the backgrounds of renewable‐dominated electric
Changming Chen +6 more
wiley +1 more source
Due to the computer’s powerful data computing ability, more and more traditional investors pay attention to computer‐based quantitative investment. Moreover, computer‐based quantitative investment has gradually replaced some traditional investment methods which rely on subjective judgments.
Pengfei Li +2 more
wiley +1 more source
The application of traditional feature extraction methods in subway mechanical fault diagnosis has attracted the attention of researchers. Based on the 5G intelligent sensor network signal processing theory, this paper constructs a fault diagnosis model for subway machinery and equipment and analyzes the effectiveness of the information redundancy ...
Zhiming Li, Gengxin Sun
wiley +1 more source
Regenerative braking is one of the most promising and ecologically friendly solutions for improving energy efficiency and vehicle stability in electric and hybrid electric cars. This research describes a data‐driven method for detecting and diagnosing issues in hybrid electric vehicle regenerative braking systems.
Sajida Kousar +5 more
wiley +1 more source
Optimization of Regional Industrial Structure Based on Multiobjective Optimization and Fuzzy Set
With the development of China’s economy, it is required to change the mode of economic growth, from extensive growth mode to intensive growth mode. Therefore, the research on industrial structure is of great significance. This study proposes a regional industrial structure optimization method based on multiobjective optimization and fuzzy set. Firstly,
Lina Guo, Zaoli Yang
wiley +1 more source
On Coincidence Theorem in Intuitionistic Fuzzy b‐Metric Spaces with Application
The concept of intuitionistic fuzzy b‐metric spaces (shortly, IFbMS) has been introduced and studied to generalize both the notion of intuitionistic fuzzy metric spaces and fuzzy b‐metric spaces. The existence of coincident point and common fixed point for two self‐mappings has been established.
Shazia Kanwal +3 more
wiley +1 more source
Proliferation of Cyber Situational Awareness: Today’s Truly Pervasive Drive of Cybersecurity
Situation awareness (SA) issues necessitate a comprehension of present activities, the ability to forecast, what will happen next, and strategies to assess the threat or impact of current internet activities and projections. These SA procedures are universal, domain‐independent and can be used to detect cyber intrusions.
Hafiz Muhammad Jamsheed Nazir +2 more
wiley +1 more source
A Review on Deep Sequential Models for Forecasting Time Series Data
Deep sequential (DS) models are extensively employed for forecasting time series data since the dawn of the deep learning era, and they provide forecasts for the values required in subsequent time steps. DS models, unlike other traditional statistical models for forecasting time series data, can learn hidden patterns in temporal sequences and have the ...
Dozdar Mahdi Ahmed +3 more
wiley +1 more source

