Results 261 to 270 of about 183,434 (340)

Multi-scale EEG feature decoding with Swin Transformers for subject independent motor imagery BCIs. [PDF]

Sci Rep
Qamar WUR, Abibullaev B.
europepmc   +1 more source

Learner emotions and performance in hypercasual VR games with adaptive AI difficulty

British Educational Research Journal, EarlyView.
Abstract Hypercasual virtual reality games (HVRGs) are widely regarded as cost‐effective tools for rapid skill acquisition, yet the mechanisms that optimise their effectiveness and user acceptance remain insufficiently explored. This mixed‐methods empirical study investigates how playful emotions, characterised by engagement, enjoyment and anxiety ...
Zeeshan Ahmed, Faizan Ahmad, Chen Hui
wiley   +1 more source

GR-AttNet: Robotic grasping with lightweight spatial attention mechanism. [PDF]

PLoS One
Zhou S, Liu Z, Li C, Chen D, Liu S, Liu Y.   +5 more
europepmc   +1 more source

Artificial intelligence and machine learning‐assisted digital applications for biopharmaceutical manufacturing

Biotechnology Progress, EarlyView.
Abstract Artificial intelligence and automation are no longer just buzzwords in the biopharmaceutical industry. The manufacturing of a class of biologics, comprising monoclonal antibodies, cell therapies, and gene therapies, is far more complex than that of traditional small molecule drugs.
Shyam Panjwani, Hao Wei, John Mason
wiley   +1 more source

Traffic flow prediction based on temporal attention and multi-graph adjacency fusion using DynamicChebNet. [PDF]

Sci Rep
Zhang J, Cheng J, Li F.
europepmc   +1 more source

Decoding Emotional Signatures of Ethical Ads: An Analysis of Actor‐Viewer Synchrony

Journal of Consumer Behaviour, EarlyView.
ABSTRACT We examine whether ethical advertisements differ from conventional ads in their on‐screen emotional signatures and whether those signatures transfer to actor‐viewer synchrony. Study 1 analyses 138 professionally produced YouTube ads using Automated Facial Expression Recognition (AFER) and Convolutional Neural Networks (CNN) to quantify actor ...
Vik Naidoo, Nicolas Hamelin
wiley   +1 more source

A New Class of Braided Block Codes Constructed by Convolutional Interleavers

Sina Vafi
openalex   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Fusion_f5C-Pred: a dual-branch feature fusion framework for 5-formylcytosine modification sites prediction. [PDF]

BMC Genomics
Hui C, Yu J, Jia J.
europepmc   +1 more source