Results 221 to 230 of about 25,829 (292)
Energy Science &Engineering, EarlyView.This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom +2 more
wiley +1 more source
Improving Adversarial Robustness of ECG Classification Based on Lipschitz Constraints and Channel Activation Suppression. [PDF]
Sensors (Basel)Chen X, Si Y, Zhang Z, Yang W, Feng J.
europepmc +1 more source
A Comprehensive Review of AI‐Powered Energy Systems
Energy Science &Engineering, EarlyView.The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo +5 more
wiley +1 more source
Knowledge sourcing, geopolitics, and FDI: An empirical analysis on the US green and digital sectors
Global Strategy Journal, EarlyView.Abstract Research Summary This paper examines how foreign direct investment (FDI) shapes firms' sourcing of knowledge in the digital and green domains under rising geopolitical frictions. We assemble a firm–country dyadic panel (2013–2020) linking US patent backward citations to firms' FDI, enriched with bilateral geopolitical distance and host‐country
Alberto Maria Radici
wiley +1 more source
A general approach to improve adversarial robustness of DNNs for medical image segmentation and detection. [PDF]
Proc SPIE Int Soc Opt EngMa L, Chen J, Qian L, Liang L.
europepmc +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 +6 more
wiley +1 more source
Adversarial Robustness Through Artifact Design
Adversarial examples arose as a challenge for machine learning. To hinder them, most defenses alter how models are trained (e.g., adversarial training) or inference is made (e.g., randomized smoothing).
Shua, Tsufit, Sharif, Mahmood
core
Interdisciplinary Medicine, EarlyView.Deep learning models accurately predict cervical lymph node metastasis and key genetic mutations (BRAF/TERT) directly from thyroid cancer frozen sections. This AI‐driven pipeline provides a rapid real‐time tool to guide intraoperative surgical decisions, helping to optimize surgical extent and prevent both over‐ and under‐treatment without the need for
Mingxing Qiu +20 more
wiley +1 more source
Major Cybersecurity Breaches: Shaping Corporate Cybersecurity Policies and Closing the Gaps
Journal of Corporate Accounting &Finance, EarlyView.ABSTRACT As digitalization accelerates, cybercrime has intensified in both scale and impact over the past two decades. This study aims to critically examine major cybersecurity events, assess them through the lens of routine activity theory, examine insight from three other established criminological and organizational theories, and address central ...
Laura K. Rickett, Deborah Smith
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 +5 more
wiley +1 more source