A comprehensive review of computer vision in sports: Open issues, future trends and research directions
Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …
achieved significant improvements to enable a variety of critical operations. To provide …
Distributed deep learning model for intelligent video surveillance systems with edge computing
In this paper, we propose a Distributed Intelligent Video Surveillance (DIVS) system using
Deep Learning (DL) algorithms and deploy it in an edge computing environment. We …
Deep Learning (DL) algorithms and deploy it in an edge computing environment. We …
Firing multistability in a locally active memristive neuron model
The theoretical, numerical and experimental demonstrations of firing dynamics in isolated
neuron are of great significance for the understanding of neural function in human brain. In …
neuron are of great significance for the understanding of neural function in human brain. In …
Artificial intelligence and internet of things in screening and management of autism spectrum disorder
Autism is a disability that obstructs the process of a person's development. Autistic
individuals find it extremely difficult to cope with the world's pace, can not communicate …
individuals find it extremely difficult to cope with the world's pace, can not communicate …
A survey on algorithms for intelligent computing and smart city applications
With the rapid development of human society, the urbanization of the world's population is
also progressing rapidly. Urbanization has brought many challenges and problems to the …
also progressing rapidly. Urbanization has brought many challenges and problems to the …
Multi-objective design of the energy storage-based combined heat and power off-grid system to supply of thermal and electricity consumption energies
SM Rashid, A Zare-Ghaleh-Seyyedi… - Journal of Energy …, 2023 - Elsevier
Simultaneous consumption of electrical and thermal energy management, together with
economic and technical advantages of close-to-consumption feeding of consumers, has …
economic and technical advantages of close-to-consumption feeding of consumers, has …
Multiple convolutional neural networks for multivariate time series prediction
Multivariate time series prediction, with a profound impact on human social life, has been
attracting growing interest in machine learning research. However, the task of time series …
attracting growing interest in machine learning research. However, the task of time series …
Privacy-preserving deep learning model for decentralized vanets using fully homomorphic encryption and blockchain
In Vehicular Ad-hoc Networks (VANETs), privacy protection and data security during network
transmission and data analysis have attracted attention. In this paper, we apply deep …
transmission and data analysis have attracted attention. In this paper, we apply deep …
Advantages of direct input-to-output connections in neural networks: The Elman network for stock index forecasting
Y Wang, L Wang, F Yang, W Di, Q Chang - Information Sciences, 2021 - Elsevier
Abstract The Elman neural network (ElmanNN) is well-known for its capability of processing
dynamic information, which has led to successful applications in stock forecasting. In this …
dynamic information, which has led to successful applications in stock forecasting. In this …
Blockchain-enabled secure framework for energy-efficient smart parking in sustainable city environment
In the smart city environment, parking vehicle management is an essential requirement for
citizens in the current situation because every city is rapidly growing as a crowded …
citizens in the current situation because every city is rapidly growing as a crowded …