216 results found

Jane Alty, Gianluca Amprimo, Jung Hwan Shin, Max Wuehr, Michal Novotny, Helga Haberfehlner, Claudia Ferraris, Renjie Li, Marcelo Merello, Marina de Koning-Tijssen, Samuel Relton, David Wong, Johannes Taeger, Andreas Zwergal, Sebastian Walther, Jochen Weishaupt, Karl Georg Häusler, Jan Rusz, Babak Taati, Ryan Roemmich, Martin McKeown, Anoopum S. Gupta, Maximilian U. Friedrich

Background: Neurological motor assessment relies on semi-quantitative, scale-based measures with inherent clinimetric limitations that disproportionately affect clinical trials aimed at early disease ...

Research Square 2026-04-20 rs-9437116
Neurology Digital Biomarkers Computer Vision Movement Analysis Videography

Chunxia Zhao, Fang Fu, Tanghua Dai, Tian Zhan, Yan Wu, Xiaoqun Fang

Stroke, a leading cause of global mortality and disability, often results in post-stroke cognitive impairment, which significantly affects survivors and increases the risk of dementia. Loneliness and ...

Scientific Reports 2026-04-20 rs-7108707
Sroke mild cognitive impairment autonomous participation loneliness

Xiaojuan Zhu, Boyang Pan, Yi Zhong, Haidong Tao, Bo Pang, Kai Liao

Wind power curve is a core characteristic describing the relationship between wind speed and turbine output power, which is crucial for wind farm operation monitoring and anomaly detection. However, t...

Scientific Reports 2026-04-20 rs-9249414
smart grid wind power curve anomaly detection SCADA image-topology-semantic multi-feature fusion contrastive learning

Rajabhishek Singh, Jaiprakash Narain Dwivedi

Judicial decision-making involves complex reasoning based on legal facts, statutory interpretation, and precedent analysis. Although transformer-based language models have improved the automated analy...

Discover Applied Sciences 2026-04-20 rs-9227523
Explainable Artificial Intelligence Transformer-Based Language Models Judicial Text Analytics Bias Attribution Analysis Integrated Gradients and Attribution-Aware Retrieval-Augmented Generation.

Damien F. G. Minenna, Guillaume Dilasser, Robin Penavaire, Valerio Calvelli, Thibault de Chabannes, Thibault Lecrevisse, Thomas Achard, Jason Le Coz, Christophe Berriaud, Benoît Bolzon, Antomne Caunes, Phillipe Fazilleau, Hélène Felice, Clément Genot, Antoine Guinet, Nikola Jerance, François-Paul Juster, Thibaut Lemercier, Gilles Lenoir, Clément Lorin, Yann Perron, Camille Pucheu-Plante, Étienne Rochepault, Damien Simon, Francesco Stacchi, Michel Segreti, Vincent Trauchessec, Olivier Tuske, Hajar Zgour

Superconducting magnets for particle accelerators are particularly challenging to design because they involve a large number of coupled physical phenomena and the management of complex datasets. Artif...

EPJ Research Infrastructures 2026-04-20 rs-9367074
Superconducting Magnets Artificial Intelligence Machine Learning Evolutionary Computation Topology Optimisation Quench Anomaly detection

Ketan Dayma, Palak Patel, Kenneth Hildreth, Tamara Jamaspishvili

Importance: Adoption of FDA-cleared AI/ML-enabled devices is rising, led by Radiology, and FDA is adapting to a newer framework of Predetermined Change Control Plan (PCCP) to enable controlled post-ma...

Research Square 2026-04-15 rs-9411603
Artificial Intelligence Radiology Predetermined Change Control Plan (PCCP) Post-Market Surveillance Software as a Medical Device (SaMD)
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