Results 181 to 190 of about 43,821 (259)

Training convolutional neural networks with the Forward-Forward Algorithm. [PDF]

Sci Rep
Scodellaro R, Kulkarni A, Alves F, Schröter M.   +3 more
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

Efficient medical image segmentation using RepSegNet lightweight reparameterized neural network. [PDF]

Sci Rep
Juraev R, Kim IM, Yun S, Kang JM.
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

A dataset of real-world oscillograms from electrical power grids. [PDF]

Sci Data
Evdakov A, Filatova G, Yablokov A, Kovalenko A, Skachkov E, Makarov I.   +5 more
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

Cross-modality 3D MRI synthesis via cycle-guided denoising diffusion probability model. [PDF]

J Med Imaging (Bellingham)
Hu M, Pan S, Chang CW, Qiu RLJ, Peng J, Wang T, Roper J, Mao H, Yu D, Yang X.   +9 more
europepmc   +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

Ensemble deep learning architectures for detecting pulmonary tuberculosis in chest X-rays. [PDF]

Sci Rep
García Seco de Herrera A, Yagis E, Pinpo N, Abolghasemi V, Andritsch J, Chaichulee S, Dicente Cid Y, Ingviya T.   +7 more
europepmc   +1 more source

Stagewise crop yield prediction with multisource functional indices

Canadian Journal of Statistics, EarlyView.
Abstract Index insurance design involves integrating weather data, soil moisture, phenology information, and satellite imagery, which presents challenges in data fusion. This article addresses the modelling of multisource functional indices of varying lengths by constructing a stagewise ensemble of sequential models.
Jing Zou, Ostap Okhrin
wiley   +1 more source