Results 161 to 170 of about 16,674 (259)
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 +4 more
wiley +1 more source
Adversarial Examples on XAI-Enabled DT for Smart Healthcare Systems. [PDF]
Imam NH.
europepmc +1 more source
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
Optimization of Communication Signal Adversarial Examples by Selectively Preserving Low-Frequency Components of Perturbations. [PDF]
Zhang Y, Wang L, Wang X, Shi D, Bai J.
europepmc +1 more source
Artificial intelligence and liquidation: Reality, destiny and fantasy
Abstract Artificial intelligence (AI) is increasingly reshaping the administration of corporate liquidation. Beyond its established role in financial prediction and data analytics, AI is now assisting insolvency practitioners in identifying the onset of financial distress, managing creditor communications, tracing and valuing assets and enhancing ...
Kai Zhang, Jingchen Zhao
wiley +1 more source
Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples. [PDF]
Caro JO +6 more
europepmc +1 more source
Medical Reasoning With Large Language Models: A Systematic Review and Evaluation
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
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 +5 more
wiley +1 more source
Unlocking Value Co‐Creation in IoT Platforms: Insights From a Collaborative Manufacturing Case
ABSTRACT This study examines value co‐creation in IoT platform ecosystems through a case study of the collaborative manufacturing platform E‐LINK. We explore the evolution of platform data capabilities, user interactions, value creation, and the mechanisms that connect them.
Huayao Zhang +4 more
wiley +1 more source
Artificial Intelligence in Dermatology: Current Applications and Future Directions
This scoping review of 56 studies maps AI applications in dermatology. Image‐based classification for skin cancer detection dominates (48%), followed by clinical decision support (21%), teledermatology triage (11%), and predictive analytics (11%). While deep learning algorithms demonstrate diagnostic performance comparable to clinicians in controlled ...
Sofía Pérez‐Lalinde +1 more
wiley +1 more source

