Results 151 to 160 of about 10,094,639 (283)

STGFormer: Spatio-Temporal Graph Transformer for Traffic Flow Prediction in Sparse-Sensing Scenarios. [PDF]

Sensors (Basel)
Zhang J, Tan F, Bai W, Peng F, Wang W.
europepmc   +1 more source

Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems

Advanced Intelligent Systems, EarlyView.
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja, Mardavij Roozbehani, Munther A. Dahleh   +2 more
wiley   +1 more source

Multi-Perspective Spatio-Temporal Feature Fusion Model for Urban Traffic Flow Prediction. [PDF]

Sensors (Basel)
Marakhimov A, Jalelov R, Kudaybergenov J, Muminov Z, Khudaybergenov K, Tajibaev S.   +5 more
europepmc   +1 more source

Artificial Intelligence and Access to Justice at the ‘Shop Front’: The Potential and Limitations of Meeting Legal Need Through Technology

Australian Journal of Social Issues, EarlyView.
ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings, Art Cotterell, Farzana Bruce   +2 more
wiley   +1 more source

Real-time AI-driven trend analytics for smart city digital services using streaming data. [PDF]

Front Big Data
Kalpeyeva Z, Razaque A, Uskenbayeva R, Beishenaly A, Elle V, Kassymova A.   +5 more
europepmc   +1 more source

Data fusion-based traffic prediction and software decision support for recreational suburban roads. [PDF]

PLoS One
Afandizadeh S, Abdolahi S, Mirzahossein H.   +2 more
europepmc   +1 more source

Advancing Short-Term Traffic Flow Forecasting with Representation Learning

Short term traffic forecasting traditional methods generally ignore the stable relationships between roads or fail to adapt when traffic conditions change. This makes predictions less accurate and less useful for managing congestion. This thesis develops artificial intelligence models that balance both stability and adaptability, learning how roads ...
openaire   +1 more source

DG-LLM: Decomposition-based dynamic graph adaptation of large language models for spatiotemporal traffic forecasting. [PDF]

PLoS One
Tabassum S, Nower N.
europepmc   +1 more source

Atypical Cerebellar Responses are Associated with Altered Neural Habituation during Sensory Stimulation in Autism

Autism Research, EarlyView.
ABSTRACT Sensory processing atypicalities are highly prevalent in autistic youth; yet, the neural mechanisms underlying these differences are not well understood. While the cerebellum plays a key role in sensorimotor coordination and is structurally and functionally atypical in the autistic brain, it has been overlooked in research investigating ...
Melis E. Cakar, Kaitlin K. Cummings, Susan Y. Bookheimer, Mirella Dapretto, Shulamite A. Green   +4 more
wiley   +1 more source

A spatio-temporal self-supervised meta-learning network with dynamic graph learning for traffic flow forecasting. [PDF]

PLoS One
Qiu Q, Huang Y, Huang X, Zhou W.
europepmc   +1 more source