Results 161 to 170 of about 29,955 (264)

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +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

Dual-BERT adversarial learning for Hausa user-generated text normalization. [PDF]

Front Artif Intell
Bashir SA, Aliero AA, Tafida AG, Hussaini MI, Lah NSC, Nasser M, Bena YA.   +6 more
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, Manwen Tian, Didar Yedilkhan, Nurkhat Zhakiyev, Aigul Adamova, Ardashir Mohammadzadeh   +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, Liangbin Zhou, Xiaoshuai Wang, Chenzhong Li, Cheng Jiang, Rocky S. Tuan, Zhong Alan Li   +6 more
wiley   +1 more source

Improved graph-based model for phishing website detection using multi-level web page graphs and dynamic heterogeneous graph attention network. [PDF]

Front Artif Intell
Kavya S, Sumathi D.
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, Zhongqing Zeng, Zeyu Hu, Jaekyun Kim, Jidong Jin, Wensi Cai, Zhigang Zang   +6 more
wiley   +1 more source

Adversarial Machine Learning in Industrial IoT: A Systematic Review of Attack Realism, Defense Trade-Offs, and Deployment Gaps. [PDF]

Sensors (Basel)
Alsaidlani A, Rashid M, Aljabri 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, Azman Abdullah, Gunesh Kumar, Samreen Memon, Naila Afghan   +4 more
wiley   +1 more source

avbirt: A Python Package for Flexible Item Factor Analysis with Adversarial Variational Bayes. [PDF]

Appl Psychol Meas
Luo N, Ji F.
europepmc   +1 more source