Frontiers in Artificial Intelligence

Original Research

Published on 21 Aug 2026

TAE-IDS: a trust-aware explainable intrusion detection framework using attention-based meta-ensemble learning with blockchain validation

in Machine Learning and Artificial Intelligence

S. Antony Joseph Raj
M. Madiajagan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1903112

402 views

Conceptual Analysis

Published on 21 Aug 2026

Writing as formation: supervising AI use in early-career medical authorship

in Medicine and Public Health

Tiago Jacinto

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1874377

289 views

Original Research

Published on 21 Aug 2026

Historical hydrometric context and explainable multi-horizon evaluation of a GloFAS-derived discharge product near Babahoyo, Ecuador

in AI in Food, Agriculture and Water

Alexander Haro-Sarango
Silvia Cachay-Salcedo
Jessica Saavedra-Vasconez
Rosa Salcedo-Dávalos
Elizabeth Proaño-Altamirano

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1901591

197 views

Perspective

Published on 21 Aug 2026

From automation to symbiosis in Industry 5.0 manufacturing: the human-centered AI adoption maturity cube

in AI in Business

Hugh Jiliang Liu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1913676

340 views

Original Research

Published on 21 Aug 2026

Decoding high-order clinical correlations: a knowledge-driven large language model framework for specialized medical decision-making

in Medicine and Public Health

Qian Li
Yongxin Li
Chao Ye
Kaihua Zhang
Jing Bai
Xinbo Liu
Zhantao Li
Xuanyu Meng
Xianjun Min
Jin Guo

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1772518

808 views

Original Research

Published on 20 Aug 2026

Enhanced deep learning networks integrated by fractals for air quality index analysis

in Machine Learning and Artificial Intelligence

S. Kala Nandhini
L. Thanga Mariappan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1892338

280 views

Original Research

Published on 20 Aug 2026

AI-driven ANN–PSO smart-inverter capacity allocation at preselected buses under meteorological uncertainty

in Machine Learning and Artificial Intelligence

Selman Djeffal
Badreddine Bendriss
Abdelhamid Ghoul
Mohamed Razi Morakchi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1896551

377 views

Original Research

Published on 20 Aug 2026

Quantum-enhanced deep learning models for automated defect detection in materials

in Pattern Recognition

Aniket Garg
Snehal Sushibine
Diya Choudhuri
Shrey Anand
Helen Vijitha P.
Jai Vinita L.
Parvathy A. K.
Vinaytosh Mishra
Thompson Stephan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1872978

389 views

Correction

Published on 20 Aug 2026

Correction: Gated recurrent unit model for forecasting greenhouse gas concentrations with uncertainty quantification

in AI in Food, Agriculture and Water

Erica Hargety Kimei
Devotha Godfrey Nyambo
Neema Mduma
Shubi Felix Kaijage

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1954403

254 views

Original Research

Published on 20 Aug 2026

Executable explanation traces for legal LLM predictions via retrieval-augmented codification

in Technology and Law

Haoyang Chen
Kumiko Tanaka-Ishii

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1905145

494 views

Original Research

Published on 20 Aug 2026

A pan-cancer multi-omic SuperLearner for regulated cell death survival topologies

in Medicine and Public Health

Emanuell Rodrigues de Souza
Higor Almeida Cordeiro Nogueira
Victor dos Santos Lopes
Enrique Medina-Acosta

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1895164

316 views

Original Research

Accepted on 19 Aug 2026

UniPET: A Unified Approach for Whole-Body CT to PET Translation

in Machine Learning and Artificial Intelligence

Francesco Di Feola
Valerio Guarrasi
Mikael Johansson
Paolo Soda

Frontiers in Artificial Intelligence

Original Research

Accepted on 19 Aug 2026

Adaptive Feature Fusion Based Semi-Supervised Federated Learning System for ECG Arrhythmia Detection

in Medicine and Public Health

Silla Ann Silla Ann Regi
Jagadeesan Srinivasan
Thanapal Pandi

Frontiers in Artificial Intelligence

Original Research

Published on 19 Aug 2026

AI-based clinical prediction model for early infectious disease classification in the emergency department

in Medicine and Public Health

Sara N. Søgaard
Helene Skjøt-Arkil
Christian B. Mogensen
Theis Aagaard
Thomas Kronborg

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1894719

427 views

Perspective

Published on 19 Aug 2026

AI-mediated intergenerational skill transfer: enhancing ESG literacy and sustainable consumption among aging populations

in AI for Human Learning and Behavior Change

Anuja Paul
Astle
Sujata Roy

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1857373

389 views

Original Research

Published on 19 Aug 2026

Rheumatoid arthritis classification using hybrid pretrained quantum convolutional neural network

in Machine Learning and Artificial Intelligence

D. Jeyamani
Rukmani Panjanathan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1794495

511 views

Original Research

Published on 19 Aug 2026

A campus digital twin framework for visualizing and managing anxiety-related stress among college students

in Medicine and Public Health

Yuchen Wang
Xinyue Ye

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1796722

321 views

Original Research

Published on 19 Aug 2026

A lightweight hybrid CNN-transformer model for smoke removal in laparoscopic surgery images

in Machine Learning and Artificial Intelligence

Dhinesh Kumar Mahalingam
Tamilarasi Kathirvel Murugan
Logeswari Govindaraj
Sanjay Chauhan
Vishal Babu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1898106

483 views

Systematic Review

Published on 19 Aug 2026

Enhancing healthcare through ontology: a systematic review of challenges and future directions

in Medicine and Public Health

U. Priyadharshini
R. Vijayan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1872024

437 views

Brief Research Report

Published on 19 Aug 2026

Human behavior alignment to improve the robustness of deep neural networks

in Machine Learning and Artificial Intelligence

Bharath Anand
Sarada Krithivasan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1709840

856 views

Original Research

Published on 19 Aug 2026

BCMM: gated bidirectional cross-attention fusion of breast MRI and clinical features for predicting RCB response in the I-SPY1 cohort

in Medicine and Public Health

Mu Yang
Junfeng Hu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1846986

323 views

Original Research

Published on 19 Aug 2026

Unsupervised clustering identifies distinct phenotypes in acute myocardial infarction: insights from the FAST-MI 2015 registry

in Medicine and Public Health

Vincent Bataille
Loïc Panh
Etienne Puymirat
Guillaume Cayla
Pascal Motreff
Gilles Lemesle
François Schiele
Tabassome Simon
Nicolas Danchin
Jean Ferrières

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1886402

281 views

Original Research

Published on 19 Aug 2026

Automating the creation of fashion patterns using deep learning algorithms

in Machine Learning and Artificial Intelligence

Randa Alsabhi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1828627

323 views

Original Research

Accepted on 18 Aug 2026

NeuroTrustNet: A Cost-Effective Multimodal Ensemble Framework for Brain Tumor Classification under Cross-Dataset Variability

in Machine Learning and Artificial Intelligence

Ferdaus Ibne Aziz
Insoo Koo
Tumennast Erdenebold
Jubayer A. Hossain
Asle Fagerstrøm
Debasish Ghose

Frontiers in Artificial Intelligence

110 views

2,620 articles

articles

TAE-IDS: a trust-aware explainable intrusion detection framework using attention-based meta-ensemble learning with blockchain validation

Writing as formation: supervising AI use in early-career medical authorship

Historical hydrometric context and explainable multi-horizon evaluation of a GloFAS-derived discharge product near Babahoyo, Ecuador

From automation to symbiosis in Industry 5.0 manufacturing: the human-centered AI adoption maturity cube

Decoding high-order clinical correlations: a knowledge-driven large language model framework for specialized medical decision-making

Enhanced deep learning networks integrated by fractals for air quality index analysis

AI-driven ANN–PSO smart-inverter capacity allocation at preselected buses under meteorological uncertainty

Quantum-enhanced deep learning models for automated defect detection in materials

Correction: Gated recurrent unit model for forecasting greenhouse gas concentrations with uncertainty quantification

Executable explanation traces for legal LLM predictions via retrieval-augmented codification

A pan-cancer multi-omic SuperLearner for regulated cell death survival topologies

UniPET: A Unified Approach for Whole-Body CT to PET Translation

Adaptive Feature Fusion Based Semi-Supervised Federated Learning System for ECG Arrhythmia Detection

AI-based clinical prediction model for early infectious disease classification in the emergency department

AI-mediated intergenerational skill transfer: enhancing ESG literacy and sustainable consumption among aging populations

Rheumatoid arthritis classification using hybrid pretrained quantum convolutional neural network

A campus digital twin framework for visualizing and managing anxiety-related stress among college students

A lightweight hybrid CNN-transformer model for smoke removal in laparoscopic surgery images

Enhancing healthcare through ontology: a systematic review of challenges and future directions

Human behavior alignment to improve the robustness of deep neural networks

BCMM: gated bidirectional cross-attention fusion of breast MRI and clinical features for predicting RCB response in the I-SPY1 cohort

Unsupervised clustering identifies distinct phenotypes in acute myocardial infarction: insights from the FAST-MI 2015 registry

Automating the creation of fashion patterns using deep learning algorithms

NeuroTrustNet: A Cost-Effective Multimodal Ensemble Framework for Brain Tumor Classification under Cross-Dataset Variability