Results 191 to 200 of about 211,137 (291)
Traffic flow prediction based on improved deep extreme learning machine. [PDF]
Tian X +5 more
europepmc +1 more source
Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen +4 more
wiley +1 more source
Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction. [PDF]
Xu K +8 more
europepmc +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Deep spatio-temporal dependent convolutional LSTM network for traffic flow prediction. [PDF]
Tang J +6 more
europepmc +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Linear attention based spatiotemporal multi graph GCN for traffic flow prediction. [PDF]
Zhang Y +7 more
europepmc +1 more source
ABSTRACT CD19‐directed chimeric antigen receptor (CAR) T‐cell therapy has transformed outcomes for patients with relapsed or refractory (r/r) mantle cell lymphoma (MCL), yet more than 40% relapse within one year. Early identification of patients at risk for progression could inform post CAR‐T surveillance and consolidation strategies.
Snegha Ananth +12 more
wiley +1 more source
An efficient intelligent transportation system for traffic flow prediction using meta-temporal hyperbolic quantum graph neural networks. [PDF]
Rajagopal M +7 more
europepmc +1 more source
ABSTRACT Wilson disease (WD) is an autosomal recessive disorder of copper metabolism caused by ATP7B mutations. Diagnosis is usually straightforward in symptomatic patients, but can be challenging in children and adolescents with mild liver disease, borderline urinary copper excretion, or inconclusive genetic findings.
Emanuele Nicastro +10 more
wiley +1 more source

