Results 231 to 240 of about 5,451,620 (296)

Computational mechanisms for temporal integration in the anterior claustrum. [PDF]

Elife
Sohn K, Yoon D, Lee J, Choi S.
europepmc   +1 more source

Sentiment Analysis of Imbalanced Dataset Through Data Augmentation and Generative Annotation Using DistilBERT and Low‐Rank Fine‐Tuning

Applied AI Letters, Volume 7, Issue 3, October 2026.
The proposed model takes an imbalanced English dataset as input and balances it by Generating Synthetic Tweets (GST) using GPT‐based paraphrasing. These new tweets are then annotated with one of 10 categorical labels representing their primary meaning, using another large language model like GPT.
Hossein Nekouei, Mohammad Hossein Moattar   +1 more
wiley   +1 more source

Association-sensory spatiotemporal hierarchy and functional gradient-regularised recurrent neural network with implications for schizophrenia. [PDF]

NPJ Syst Biol Appl
Abulikemu S, Radmard P, Mamalakis M, Suckling J.   +3 more
europepmc   +1 more source

AI‐Powered Personalization Across Digital Ecosystems: A Trust‐Centric Perspective on Intelligent, Ethical, and Adaptive User‐Centric Systems

Applied AI Letters, Volume 7, Issue 3, October 2026.
Hybrid and deep learning recommenders achieve high personalization accuracy, but sustainable adoption depends on trust: fairness, privacy, explainability and user control must be embedded across the entire personalization pipeline. ABSTRACT Personalization based on Artificial Intelligence (AI) has become a paradigm shift in user‐focused experiences in ...
Mohd Munazzer Ansari, Shailendra Kumar, Umair Tariq, Md Belal Bin Heyat   +3 more
wiley   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, Volume 8, Issue 10, October 2026.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

Application of CW-RNN model in network attack detection and its promotion to the governance of international law. [PDF]

Sci Rep
Lin H, Chen L.
europepmc   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, Volume 8, Issue 10, October 2026.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Advancing Long‐Term Energy Demand Forecasting: A PRISMA‐Guided Systematic Review of AI and Econometric Models

Applied Research, Volume 5, Issue 5, October 2026.
Through a PRISMA‐guided review of 42 studies, this work compares deep learning, ensemble machine learning, and statistical/econometric models for long‐term energy demand forecasting, showing that model choice should balance accuracy, interpretability, data availability, and policy relevance.
Nor Afiza Mohd Noor, Mohamad Fani Sulaima, Mohd Khairil Rahmat, Norhafiza Mohamad, Hazlie Mokhlis   +4 more
wiley   +1 more source

Bridging data and theory: hybrid modelling for pharmaceutical crystallisation process development.

Digit Discov
Pickles T, Xiouras C, Öner M, Brown CJ.
europepmc   +1 more source

RNN-based detection of IoT malware using diverse feature engineering methods. [PDF]

Sci Rep
Abd-Ellah MK, Alsayed NA, Elkomy OM, El-Hady WM.   +3 more
europepmc   +1 more source