A systematic review of healthcare recommender systems: Open issues, challenges, and techniques
M Etemadi, SB Abkenar, A Ahmadzadeh… - Expert Systems with …, 2023 - Elsevier
Background The maintenance of health through prevention, diagnosis, and treatment of
illnesses, injuries, and other mental and physical impairments in people is called healthcare …
illnesses, injuries, and other mental and physical impairments in people is called healthcare …
A small-sized object detection oriented multi-scale feature fusion approach with application to defect detection
Object detection is a well-known task in the field of computer vision, especially the small
target detection problem that has aroused great academic attention. In order to improve the …
target detection problem that has aroused great academic attention. In order to improve the …
Is high-fidelity important for human-like virtual avatars in human computer interactions?
Q Cao, H Yu, P Charisse, S Qiao… - International Journal of …, 2023 - sciltp.com
As virtual avatars have become increasingly popular in recent years, current needs indicate
that “interactivity” is crucial for inducing a positive response from users towards these …
that “interactivity” is crucial for inducing a positive response from users towards these …
A survey on fault-tolerant consensus control of multi-agent systems: trends, methodologies and prospects
The consensus control problem of multi-agent systems (MASs) has received an increasing
research interest with ever-developing consensus theory. Before it can be widely applied to …
research interest with ever-developing consensus theory. Before it can be widely applied to …
Non-fragile l2-l∞ state estimation for time-delayed artificial neural networks: an adaptive event-triggered approach
In this paper, the state estimation problem is investigated for a kind of time-delayed artificial
neural networks subject to gain perturbations under the adaptive event-triggering scheme …
neural networks subject to gain perturbations under the adaptive event-triggering scheme …
Multi-step prediction of photovoltaic power based on two-stage decomposition and BILSTM
W Lin, B Zhang, H Li, R Lu - Neurocomputing, 2022 - Elsevier
Accurate photovoltaic power forecasting is crucial for power dispatch planning, maintenance
scheduling and regulation. In this paper, a hybrid photovoltaic power forecasting model is …
scheduling and regulation. In this paper, a hybrid photovoltaic power forecasting model is …
Predicting vehicle fuel consumption based on multi-view deep neural network
Y Li, IY Zeng, Z Niu, J Shi, Z Wang, Z Guan - Neurocomputing, 2022 - Elsevier
The problem of global warming is getting more serious, and vehicle emission is the main
cause. In recent years, the number of locomotives in China has been increasing at a rate of …
cause. In recent years, the number of locomotives in China has been increasing at a rate of …
A ranking-system-based switching particle swarm optimizer with dynamic learning strategies
In this paper, a novel ranking-system-based switching particle swarm optimizer (RSPSO) is
proposed. In particular, according to a ranking system, the swarm is divided into elite and …
proposed. In particular, according to a ranking system, the swarm is divided into elite and …
Single-source to single-target cross-subject motor imagery classification based on multisubdomain adaptation network
In the electroencephalography (EEG) based cross-subject motor imagery (MI) classification
task, the device and subject problems can cause the time-related data distribution shift …
task, the device and subject problems can cause the time-related data distribution shift …
Two-stream graph convolutional network-incorporated latent feature analysis
F Bi, T He, Y Xie, X Luo - IEEE Transactions on Services …, 2023 - ieeexplore.ieee.org
Historical Quality-of-Service (QoS) data describing existing user-service invocations are vital
to understanding user behaviors and cloud service conditions. Collaborative Filtering (CF) …
to understanding user behaviors and cloud service conditions. Collaborative Filtering (CF) …