Results 121 to 130 of about 8,417 (262)

The Adversarial Principle in Review of a Bankruptcy Case

Arbitrazh-civil procedure, 2020
openaire   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source

Materials and Music: Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery

Interdisciplinary Materials, EarlyView.
Vibrations in matter, from spider webs to molecules, water to flames, share a grammar with music. We propose that creativity emerges when constraints force expansion beyond existing possibilities. Selective imperfection restores balance, enabling invention.
Markus J. Buehler
wiley   +1 more source

Medical Reasoning With Large Language Models: A Systematic Review and Evaluation

iNew Medicine, EarlyView.
ABSTRACT Large language models (LLMs) have achieved strong performance on medical exam–style tasks, motivating growing interest in their deployment in real‐world clinical settings. However, clinical decision‐making is inherently safety‐critical, context‐dependent, and conducted under evolving evidence.
Xiaohan Ren, Chenxiao Fan, Wenyin Ma, Hongliang He, Chongming Gao, Xiaoyan Zhao, Fuli Feng   +6 more
wiley   +1 more source

Mapping the Landscape of Over‐Scanning in CT Imaging: A Scoping Review

Journal of Medical Radiation Sciences, EarlyView.
Over‐scanning in CT is highly prevalent and contributes to unnecessary radiation exposure, with notable impact on radiosensitive organs. Standardised protocols and AI‐assisted planning show strong potential to optimise scan range and reduce excess dose.
Mo'men Bani‐Ahmad, Aoife O Sullivan, Yasser H. Hadi, Laura McLaughlin, Andrew England, Mark McEntee   +5 more
wiley   +1 more source

Preparing for Tomorrow's Teamwork: Insights From eSports on How Human Expertise Shapes Training Needs for AI‐Integrated Work

Journal of Organizational Behavior, EarlyView.
ABSTRACT As organizations increasingly adopt human‐AI teams (HATs), understanding how to enhance team performance is paramount. A crucially underexplored area for supporting HATs is training, particularly helping human teammates to work with these inorganic counterparts.
Caitlin M. Lancaster, Christopher Flathmann, Jennifer Hsu, Nathan J. McNeese, Thomas A. O'Neill, Eduardo Salas   +5 more
wiley   +1 more source

Life as Counterfactual Geometry: An Adversarial Theory of Biological Function. [PDF]

Entropy (Basel)
Buzea CG, Nedeff F, Mirilă D, Nedeff V, Agop M, Ochiuz L, Dobreci L, Vasincu D.   +7 more
europepmc   +1 more source

PROBLEMS OF IMPLEMENTATION OF THE ADVERSARIAL PRINCIPLE IN THE ELECTION OF MEASURES OF RESTRAINT [PDF]

Vestnik Tomskogo gosudarstvennogo universiteta. Pravo, 2019
Olga I. Tsokolova, Sergey S. Bezrukov
openaire   +1 more source

Harnessing Aggregation‐Induced Emission for Advanced Disease Diagnosis: Mechanisms, Strategies and Future Perspectives

Medicine Bulletin, EarlyView.
The figure was created in BioRender.com. ABSTRACT Accurate and early diagnosis remains a key challenge in modern disease management. Conventional diagnostic methods often suffer from limitations in sensitivity, spatial resolution, and practical usability.
Zizhuo Du, Li Song, Xingrui Chen, Jun Jing, Yingchen Wang, Yue Jiang, Jiahui Gao, Dan Li, Feiran Xie, Peihong Xiao, Ben Zhong Tang   +10 more
wiley   +1 more source