Results 101 to 110 of about 1,727,853 (256)
Traffic flow prediction plays a vital role in intelligent transportation systems, directly affecting travel scheduling, road planning, and traffic management efficiency.
Wenjing Li, Zhongning Sun, Yao Wan
doaj +1 more source
A multi‐point oxygen‐sensing ultra‐fine needle (MO‐UFN) is developed by conformally integrating a lithographically patterned flexible electrochemical sensor array onto a clinical acupuncture needle. The platform preserves an approximately 0.3 mm diameter while enabling spatially resolved oxygen profiling along the insertion pathway.
Yeju Seo +9 more
wiley +1 more source
Spatiotemporal modeling and prediction of soil heavy metals based on spatiotemporal cokriging
Soil heavy metals exhibit significant spatiotemporal variability and are strongly correlated with other soil heavy metals. Thus, other heavy metals can be used to improve the accuracy of predictions when performing spatiotemporal predictions of soil ...
Yong Yang, Bei Zhang
core +1 more source
To address the issue of spatiotemporal illusion in short-term traffic flow prediction and deeply explore the underlying short-term traffic flow network characteristics, a traffic flow prediction model that combines long-term spatiotemporal heterogeneity ...
Li Ma +3 more
doaj +1 more source
PISEM: A Physics-Informed Spatiotemporal Encoding Model for Sea Surface Temperature Prediction
Remote sensing data inversion stands as a pivotal technique for acquiring historical sea surface temperature (SST). However, accurate prediction of future SST faces two primary challenges: capturing intricate spatiotemporal dependences across sea regions
Juan Wang +5 more
doaj +1 more source
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
With the development of society and the advancement of urbanization, the development of intelligent transportation system has attracted much attention. Efficient and accurate traffic flow prediction is one of the core tasks in the research of intelligent
Jijie Zhang, Xiaolong Xu, Fu Xiao
doaj +1 more source
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Bayesian spatio-temporal modelling for inspection and prediction of complex problems in the petrochemical industry [PDF]
EThOS - Electronic Theses Online ServiceGBUnited ...
Little, John
core

