Intelligent fault tolerance control using long short-term memory for efficient system performance under fault conditions. [PDF]
El-Mahdy MH+4 more
europepmc +1 more source
A Specialized Variational Autoencoder for Cost‐Efficient Pedestrian Trajectory Prediction
Abstract The prediction of pedestrian trajectories represents a crucial and widely discussed topic in the field of AI‐driven traffic scenarios. The prediction of pedestrian trajectories is constrained by two factors. First, pedestrians do not have the same traffic rule constraints as vehicles.
Dongchen Li, Zhimao Lin, Jinglu Hu
wiley +1 more source
Prediction of stress-strain behavior of rock materials under biaxial compression using a deep learning approach. [PDF]
Li C, Zhang X.
europepmc +1 more source
A BGP Hijacking Detection System with BGP Messages at Multiple Measurement Points
Recently, network security incidents have been increasing as the Internet continues to expand. One such incident, BGP hijacking, has gained attention because it can cause major disruptions to Autonomous Systems (AS) through network attacks. Previous studies on detecting BGP hijacking have focused on analyzing BGP messages collected from a single router
Haruto Shimizu, Kimihiro Mizutani
wiley +1 more source
A novel YOLO LSTM approach for enhanced human action recognition in video sequences. [PDF]
Elnady M, Abdelmunim HE.
europepmc +1 more source
Existing clinical approaches for assessing anesthesia depth often rely on physiological and behavioral indicators, which can be unreliable due to uncertain correlation with patient consciousness. This study presents a neuromorphic SNN with STDP, implemented on an field‐programmable gate array (FPGA) platform, enabling real‐time iEEG‐based assessment of
Ke Chen+8 more
wiley +1 more source
Sentiment analysis using long short term memory and amended dwarf mongoose optimization algorithm. [PDF]
Deng H, Alkhayyat A.
europepmc +1 more source
Applications of Artificial Intelligence in Neurological Voice Disorders
ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao+2 more
wiley +1 more source
TSWS: An observation-based streamflow dataset of Tianshan Mountains watersheds (1901-2019). [PDF]
Li S, Wei W, Chen Y, Duan W, Fang G.
europepmc +1 more source
Hybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, Algeria. [PDF]
Ladjal B+7 more
europepmc +1 more source