Frontiers in Artificial Intelligence

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

Policy and Practice Reviews

Accepted on 18 Aug 2026

The Contractual Vacuum: AI Procurement and the Erosion of Good Administration

in Technology and Law

Mohammed Abdulbari

Frontiers in Artificial Intelligence

Original Research

Accepted on 18 Aug 2026

A Deep Learning Approach to County-Level Soybean Yield Forecasting Using Large-Scale Environmental Data

in AI in Food, Agriculture and Water

Bennet Chen
Wei Zhang

Frontiers in Artificial Intelligence

Systematic Review

Published on 18 Aug 2026

Analysis of postpartum and other depression detection using machine learning and deep learning techniques: a systematic review

in Medicine and Public Health

Revathy P.
Akila Victor

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1849458

600 views

Original Research

Published on 18 Aug 2026

GSARC: a group shuffle activated redundant connection framework for post-hoc feature space adaptation in skin lesion classification on the HAM10000 dataset

in Machine Learning and Artificial Intelligence

Kumar Abhishek
Muralitharan Aishwaryaa Shree
Vinesh Kannaa Balaji
Rathna R

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1867177

400 views

Original Research

Published on 18 Aug 2026

Attitudinal openness to AI as supervisor or colleague/subordinate in Japan: the role of advanced digital technology familiarity

in AI in Business

Makoto Nakakita
Takahiro Hoshino

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1920376

323 views

Original Research

Published on 18 Aug 2026

Bridging global context and local precision using a disagreement-based region specific ensemble of Swin UNETR and SegResNet for 3D glioma segmentation

in Medicine and Public Health

Amrit Baskota
Shubham Ghimire
Baskaran Periyasamy

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1812932

313 views

Original Research

Published on 18 Aug 2026

Digital twin framework for personalized behavioral health optimization with Q-learning and graph-based planning

in Machine Learning and Artificial Intelligence

Ayan Chatterjee
Nurilla Avazov

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1834688

327 views

Original Research

Accepted on 17 Aug 2026

Exploring Wav2Vec2 XLSR-53 and Whisper-small for Telugu Language Speech-to-Text: A Fine-Tuning Approach

in Computational Linguistics and Natural Language Processing

Muzaffar Ahmad Dar
Sri Gani Kaarthikeya Kammula
Jagalingam Pushparaj
Venkata Sai Santhosh

Frontiers in Artificial Intelligence

Original Research

Accepted on 17 Aug 2026

Revisiting Dynamic Batch Scheduling for Grokking: The Role of Batch Size, Sample Budget, and Regularization

in Machine Learning and Artificial Intelligence

Roland Fang

Frontiers in Artificial Intelligence

Systematic Review

Accepted on 17 Aug 2026

Beyond the Black Box in Healthcare Operations: A Structured Literature Review and Governance Framework for Explainable AI in Clinical Process Intelligence Systems

in Medicine and Public Health

Albert Adusei Brobbey
Narayan Bhosale
James Ackom

Frontiers in Artificial Intelligence

Original Research

Accepted on 17 Aug 2026

A Unified Multi-Modal Latent Diffusion Framework with Modality-Dropout Training

in Machine Learning and Artificial Intelligence

Remya S
Manu J Pillai
Laveena Herman
Niranjan B
Somula Ramasubbareddy
Yongyun Cho

Frontiers in Artificial Intelligence

Original Research

Accepted on 17 Aug 2026

Higher-Dimensional Embedding of Time-Series Data for Machine Learning

in Medicine and Public Health

Karan Singh
Pingal Pratyush Nath
Urbasi Sinha
Aninda Sinha

Frontiers in Artificial Intelligence

426 views

Original Research

Accepted on 17 Aug 2026

Stock Health Analysis and Forecasting Using Risk-Adjusted Metrics and LSTM-Guided Monte Carlo Simulation

in AI in Business

Balakrishnan P
Anny Leema
Ananaey Garg
Shakti Patidar

Frontiers in Artificial Intelligence

Original Research

Published on 17 Aug 2026

A blockchain-empowered AutoML reputation system for anonymous customer service in SMEs

in Machine Learning and Artificial Intelligence

Selvalakshmi Annamalai
Logesh Ravi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1846713

348 views

Brief Research Report

Published on 17 Aug 2026

Leakage-aware race-level upset-risk diagnostics for prospective horse-race prediction

in Machine Learning and Artificial Intelligence

Shuichi Sugiura

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1922250

529 views

Original Research

Published on 17 Aug 2026

Evaluating the performance of DeepSeek-V3, Doubao, ERNIE 4.5 Turbo and iFLYTEK Spark in the Chinese national nursing licensing examination: a cross-sectional comparative study

in Medicine and Public Health

Min Yang
Li Zhu
Zeju Zhang
Qigui Xu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1870847

390 views

Original Research

Published on 17 Aug 2026

From digital learning readiness to student satisfaction: the mediating role of learning well-being in Saudi higher education

in AI for Human Learning and Behavior Change

Aliyu Alhaji Abubakar
Essa Mubrik N. Almutairi
Hilal Nafil Alhulail
Sayf Mohamed Dhiya Younis Al-Ashqar
Habiba Muhammad Abdullahi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1859906

344 views

Original Research

Published on 17 Aug 2026

Evaluating the robustness of specialized and general-purpose facial expression recognition systems across varied scenarios

in Pattern Recognition

José Salas-Cáceres
Javier Lorenzo-Navarro
Modesto Castrillón-Santana
Patricia Picazo-Peral
Sergio Moreno-Gil

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1800342

293 views

Review

Published on 17 Aug 2026

Artificial intelligence for precision therapeutics in age-related macular degeneration: current advances, challenges, and future directions

in Medicine and Public Health

Mini Han Wang
Simon Ming Yuen Lee
Yapeng Wang
José C. Alves
Ruitao Xie
Yaqing He
Guanghui Hou
Xiaoxiao Fang
Yang Yu
Xiaodong Cai

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1822604

314 views

Original Research

Published on 17 Aug 2026

Hybrid fuzzy clustering and temporal deep learning framework for multi-parameter forecasting in industrial thermal processes

in Machine Learning and Artificial Intelligence

V. Vignesh
G. V. Narendran
R. Senthil Kumar
R. Sitharthan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1826705

309 views

Original Research

Accepted on 14 Aug 2026

The Effect of Syntactic and Semantic Information on Word Grounding through Visual Perception

in Computational Linguistics and Natural Language Processing

Saima Shaukat
Amir Aly
Anouar Chibani
Thomas Wennekers
Angelo Cangelosi

Frontiers in Artificial Intelligence

279 views

Original Research

Accepted on 14 Aug 2026

Evaluation of a Hybrid Battery Digital Twin for Joint SOC–SOE Estimation Under Real Driving Conditions

in Machine Learning and Artificial Intelligence

Sushil Krishnan
Yokesh Babu Sundaresan

Frontiers in Artificial Intelligence

253 views

Original Research

Accepted on 14 Aug 2026

Partitioned Feature Selection: Locally Uniform Feature Selection with Structured Feature Grouping for Explainable Risk Factor Identification

in Medicine and Public Health

Tumpa Rani Shaha
Fahmid Al Farid
Momotaz Begum
Abdullah Al Mamun
Tahmina Nazneen
JIA UDDIN
Hezerul Abdul Karim

Frontiers in Artificial Intelligence

243 views

2,620 articles

articles

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

The Contractual Vacuum: AI Procurement and the Erosion of Good Administration

A Deep Learning Approach to County-Level Soybean Yield Forecasting Using Large-Scale Environmental Data

Analysis of postpartum and other depression detection using machine learning and deep learning techniques: a systematic review

GSARC: a group shuffle activated redundant connection framework for post-hoc feature space adaptation in skin lesion classification on the HAM10000 dataset

Attitudinal openness to AI as supervisor or colleague/subordinate in Japan: the role of advanced digital technology familiarity

Bridging global context and local precision using a disagreement-based region specific ensemble of Swin UNETR and SegResNet for 3D glioma segmentation

Digital twin framework for personalized behavioral health optimization with Q-learning and graph-based planning

Exploring Wav2Vec2 XLSR-53 and Whisper-small for Telugu Language Speech-to-Text: A Fine-Tuning Approach

Revisiting Dynamic Batch Scheduling for Grokking: The Role of Batch Size, Sample Budget, and Regularization

Beyond the Black Box in Healthcare Operations: A Structured Literature Review and Governance Framework for Explainable AI in Clinical Process Intelligence Systems

A Unified Multi-Modal Latent Diffusion Framework with Modality-Dropout Training

Higher-Dimensional Embedding of Time-Series Data for Machine Learning

Stock Health Analysis and Forecasting Using Risk-Adjusted Metrics and LSTM-Guided Monte Carlo Simulation

A blockchain-empowered AutoML reputation system for anonymous customer service in SMEs

Leakage-aware race-level upset-risk diagnostics for prospective horse-race prediction

Evaluating the performance of DeepSeek-V3, Doubao, ERNIE 4.5 Turbo and iFLYTEK Spark in the Chinese national nursing licensing examination: a cross-sectional comparative study

From digital learning readiness to student satisfaction: the mediating role of learning well-being in Saudi higher education

Evaluating the robustness of specialized and general-purpose facial expression recognition systems across varied scenarios

Artificial intelligence for precision therapeutics in age-related macular degeneration: current advances, challenges, and future directions

Hybrid fuzzy clustering and temporal deep learning framework for multi-parameter forecasting in industrial thermal processes

The Effect of Syntactic and Semantic Information on Word Grounding through Visual Perception

Evaluation of a Hybrid Battery Digital Twin for Joint SOC–SOE Estimation Under Real Driving Conditions

Partitioned Feature Selection: Locally Uniform Feature Selection with Structured Feature Grouping for Explainable Risk Factor Identification