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Results 201 to 210 of about 4,829,196 (302)

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 +5 more
wiley +1 more source

Generative Adversarial Network and Chaotic Map-Based Multi-Layer Medical Image Encryption. [PDF]

Sensors (Basel)
Erdoğan KD, Doğan N.
europepmc +1 more source

Ambiguity‐Aware Receding‐Horizon Optimization of Wind‐Hybrid Energy Storage Systems Using Type‐3 Fuzzy Modeling for Multimarket Participation

Energy Science &Engineering, EarlyView.
A Type‐3 fuzzy ambiguity encoder converts rolling wind, price, reserve‐activation, and confidence features into central estimates and nested uncertainty bounds. These parameters are updated within a receding‐horizon MILP/MIQP that coordinates wind, battery, and supercapacitor capacity across day‐ahead and ancillary‐service markets.
Shurong Yan +5 more
wiley +1 more source

Transforming the Landscape of Drug Innovation in AI Era: AlphaFold 3 and Beyond

Exploration, EarlyView.
Traditional drug development is time‐consuming and costly, and new tools are urgently needed to improve efficiency. This perspective reviews the considerable potential of AlphaFold 3 as a next‐generation predictive tool for drug discovery, particularly in target identification and validation, hit identification and lead optimization, and personalized ...
Songlin He +6 more
wiley +1 more source

Text-to-video generation with multi-loss sequential generative adversarial network. [PDF]

Sci Rep
Ullah A +6 more
europepmc +1 more source

Challenges and strategies toward next‐generation high‐performance flexible and printable thin‐film transistors

FlexMat, EarlyView.
This review explores recent progress in printing strategies such as inkjet, screen, liquid metal, and roll to roll (R2R) methods and their roles in fabricating flexible TFTs. Device architectures are examined with emphasis on printed components and their influence on performance and stability.
Xia Zhao +6 more
wiley +1 more source

A Safe-Domain Generative Adversarial Network with Swin Transformer for Noisy Imbalanced Fault Diagnosis. [PDF]

Sensors (Basel)
Lai X, Zhang X, Xie Z, Liu M.
europepmc +1 more source

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

Food Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob +4 more
wiley +1 more source

Knowledge-prior memory discrimination based generative adversarial network for industrial anomaly detection and localization. [PDF]

Sci Rep
Fan T, Chen J, Liu X.
europepmc +1 more source

Citrus Essential Oils in Food Safety and Health: Advances in AI‐Assisted Authentication, Antimicrobial Applications, Sustainable Extraction, and Regulatory Translation

Food Safety and Health, EarlyView.
Citrus essential oils combine sustainable extraction, AI‐assisted authentication, multi‐omics profiling, antimicrobial activity, and regulatory safety to enhance food quality, detect adulteration, and promote consumer health, and support intelligent, sustainable food systems through innovative industrial applications and circular bioeconomy strategies.
Md. Hassan Bin Nabi +7 more
wiley +1 more source

generative adversarial networks
deep learning
attention mechanism