Frontiers in Artificial Intelligence | Machine Learning and Artificial Intelligence

Original Research

Accepted on 06 Aug 2026

ConvNeXt–KAN: A Kolmogorov–Arnold Network Head for Robust Multi-class Staging of Alzheimer's Disease from Brain MRI

in Machine Learning and Artificial Intelligence

Kamrul Islam
Belayet Hossen
Md Takbir Alam Manjar
Sharmin Sultana

Frontiers in Artificial Intelligence

118 views

Original Research

Published on 06 Aug 2026

Generative AI-enhanced synthetic X-ray augmentation with gradient-based selection for battery detection in WEEE

in Machine Learning and Artificial Intelligence

Farhan Mahmood
George Chryssinas
Myrto Inglezou
Evangelos Katralis
Panagiotis Chatzakos
Antonios Porichis

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1881543

279 views

Original Research

Published on 06 Aug 2026

Federated spatio-temporal graph neural network for privacy-preserving vehicle trajectory prediction in autonomous driving

in Machine Learning and Artificial Intelligence

Aditi Joshi
Amrutha P
Vaidehi Prajapati
Sudha Anbalagan
Suganeshwari G

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1856630

387 views

Correction

Published on 06 Aug 2026

Correction: Exploiting explanations for model extraction via knowledge distillation and mitigation with private counterfactuals

in Machine Learning and Artificial Intelligence

Fatima Ezzeddine
Silvia Giordano
Omran Ayoub

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1925121

218 views

Original Research

Accepted on 05 Aug 2026

Frequency-Aware Signal Image Representation and Graph Transformer Learning (FSI-GTL) for Bearing Fault Diagnosis

in Machine Learning and Artificial Intelligence

Mitta Sandhya
Poornima Nedunchezhian

Frontiers in Artificial Intelligence

101 views

Original Research

Accepted on 05 Aug 2026

Entropy-Guided Projective Kolmogorov-Arnold Networks for Compact and Robust Edge-Function Learning

in Machine Learning and Artificial Intelligence

Alastair Poole
Stig McArthur
Saravan Kumar

Frontiers in Artificial Intelligence

Original Research

Published on 05 Aug 2026

AdaK: adaptive KV cache budget estimation framework for analyzing long-context large language model inference

in Machine Learning and Artificial Intelligence

Tianjun Shao

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1892739

411 views

Original Research

Published on 05 Aug 2026

EdgeLane-SEG: an energy-efficient embedded edge AI framework for real-time road marking and lane lines detection with instance segmentation in ADAS and autonomous driving

in Machine Learning and Artificial Intelligence

Mohammed Chaman
Anas El Maliki
Wiame Bouyoussef
Abdelmounaim Belaaribi
Younes Laababid
Zouhair Sadoune
Abdelkader Mezouari
Hamad Dahou
Abdelkader Hadjoudja

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1872217

491 views

Original Research

Accepted on 03 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

Antony Joseph Raj S
Dr Madiajagan M

Frontiers in Artificial Intelligence

304 views

Original Research

Accepted on 03 Aug 2026

CDMSP: A Convolutional Dense Multi-Scale Pooling Framework for Low-Light Colonoscopy Image Enhancement

in Machine Learning and Artificial Intelligence

Mohan K
Gopinath Palanisamy
Nisha J S

Frontiers in Artificial Intelligence

117 views

Original Research

Accepted on 03 Aug 2026

Robust Vision Transformer Adaptation for UAVImagery

in Machine Learning and Artificial Intelligence

M. Jagan
HELEN VIJITHA P
Jai Vinita L
PARVATHY A K
Jeipratha P. N

Frontiers in Artificial Intelligence

115 views

Original Research

Accepted on 03 Aug 2026

Performance Evaluation of ARIMA, VAR, ANN, GRU, and LSTM for Multivariate Healthcare Time-Series Prediction: A Rigorous, Reproducible Benchmarking Study with Ablation Analysis on MIMIC-III and eICU

in Machine Learning and Artificial Intelligence

Md. Tazul Islam
Muhammad Hanif
Samuel Kim

Frontiers in Artificial Intelligence

169 views

Original Research

Accepted on 31 Jul 2026

Machine Learning-Based Solar Radiation Prediction across Heterogeneous Climatic Zones Using NASA POWER Data: a Case Study in Nigeria

in Machine Learning and Artificial Intelligence

Oluwaseun Faloye
Grace Awotoye
John Akinremi
Oluwatobi Solomon Olaleye
Ayoola Oluwadare
Oluwafemi E. Adeyeri
Laemthong Laokhongthavorn
Viroon Kamchoom

Frontiers in Artificial Intelligence

166 views

Original Research

Accepted on 31 Jul 2026

Automating the Creation of Fashion Patterns Using Deep Learning Algorithms

in Machine Learning and Artificial Intelligence

Randa Alsabhi

Frontiers in Artificial Intelligence

151 views

Original Research

Accepted on 31 Jul 2026

A Post-Quantum Verified Self-Healing Framework for Healthcare IoT systems: Deep Anomaly Detection, Severity Estimation and Risk-Aware Rollback to Trusted Checkpoints

in Machine Learning and Artificial Intelligence

Arul Treesa Mathew
Prasanna Mani

Frontiers in Artificial Intelligence

133 views

Original Research

Accepted on 31 Jul 2026

Artificial Intelligence-Driven Hybrid Deep Learning Model for Multi-Parameter Forecasting of Industrial Thermal Processes

in Machine Learning and Artificial Intelligence

Vignesh V
Narendran G V
Senthil Kumar R
Sitharthan R

Frontiers in Artificial Intelligence

146 views

Original Research

Accepted on 31 Jul 2026

Confidence-aware Pseudo-label Selection and Verifier Training for Semi-supervised LLM Reasoning with Minimal Labels

in Machine Learning and Artificial Intelligence

Keizo Kato
Chenhui Chu
Yugo Murawaki
Sadao Kurohashi

Frontiers in Artificial Intelligence

166 views

Original Research

Accepted on 30 Jul 2026

ADAPT-Net: An Adaptive Dynamic Attention and Persistence-Aware Transformer for Overlapping Community Detection in Complex Social Networks

in Machine Learning and Artificial Intelligence

Gowthami Vusirikkayala
MADHU VISWANATHAM V

Frontiers in Artificial Intelligence

170 views

Original Research

Accepted on 30 Jul 2026

Anomaly Detection Method for Business Processes Based on Enhanced Complex Scenario Logs

in Machine Learning and Artificial Intelligence

Yang Song
Ruoyuan Zhang

Frontiers in Artificial Intelligence

162 views

Original Research

Accepted on 30 Jul 2026

The Dashboard Says Perfect: A Systematic Audit of Label-Free Model Monitoring and Test-Time Adaptation Under Temporal Distribution Shift in Network Intrusion Detection

in Machine Learning and Artificial Intelligence

Wali Ahmed
Md Azizul Rahaman
Pappu Roy
Parves Alam

Frontiers in Artificial Intelligence

193 views

Original Research

Accepted on 30 Jul 2026

Generative LLMs for Educational Recommendation

in Machine Learning and Artificial Intelligence

YUN WANG
Akbayan Bekarystankyzy
Aray Kassenkhan
Tolegenov Azamat

Frontiers in Artificial Intelligence

159 views

Original Research

Accepted on 30 Jul 2026

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

in Machine Learning and Artificial Intelligence

Kala Nandhini S
THANGA MARIAPPAN L

Frontiers in Artificial Intelligence

138 views

Original Research

Accepted on 29 Jul 2026

Adaptive Continual Botnet Detection with Self-Supervised Prototypical Networks and Few-Shot Learning for Evolving Botnet Detection

in Machine Learning and Artificial Intelligence

Niranjana Junar
Karmel A

Frontiers in Artificial Intelligence

207 views

Original Research

Accepted on 29 Jul 2026

Explainable AI for Phishing URL Detection: A Bayesian-Optimized Stacking Ensemble Framework with SHAP-Guided Feature Learning

in Machine Learning and Artificial Intelligence

Hafiz Aziz Khan
Sonia Akter
Kaosar Hossain
Taslima Akter
Iftekhar Rasul
Mamunur Rahman
Nasrin Akter Tohfa
Iftekhar Hossain

Frontiers in Artificial Intelligence

222 views

686 articles

articles

ConvNeXt–KAN: A Kolmogorov–Arnold Network Head for Robust Multi-class Staging of Alzheimer's Disease from Brain MRI

Generative AI-enhanced synthetic X-ray augmentation with gradient-based selection for battery detection in WEEE

Federated spatio-temporal graph neural network for privacy-preserving vehicle trajectory prediction in autonomous driving

Correction: Exploiting explanations for model extraction via knowledge distillation and mitigation with private counterfactuals

Frequency-Aware Signal Image Representation and Graph Transformer Learning (FSI-GTL) for Bearing Fault Diagnosis

Entropy-Guided Projective Kolmogorov-Arnold Networks for Compact and Robust Edge-Function Learning

AdaK: adaptive KV cache budget estimation framework for analyzing long-context large language model inference

EdgeLane-SEG: an energy-efficient embedded edge AI framework for real-time road marking and lane lines detection with instance segmentation in ADAS and autonomous driving

TAE-IDS: A Trust-Aware Explainable Intrusion Detection Framework Using Attention-Based Meta-Ensemble Learning with Blockchain Validation

CDMSP: A Convolutional Dense Multi-Scale Pooling Framework for Low-Light Colonoscopy Image Enhancement

Robust Vision Transformer Adaptation for UAVImagery

Performance Evaluation of ARIMA, VAR, ANN, GRU, and LSTM for Multivariate Healthcare Time-Series Prediction: A Rigorous, Reproducible Benchmarking Study with Ablation Analysis on MIMIC-III and eICU

Machine Learning-Based Solar Radiation Prediction across Heterogeneous Climatic Zones Using NASA POWER Data: a Case Study in Nigeria

Automating the Creation of Fashion Patterns Using Deep Learning Algorithms

A Post-Quantum Verified Self-Healing Framework for Healthcare IoT systems: Deep Anomaly Detection, Severity Estimation and Risk-Aware Rollback to Trusted Checkpoints

Artificial Intelligence-Driven Hybrid Deep Learning Model for Multi-Parameter Forecasting of Industrial Thermal Processes

Confidence-aware Pseudo-label Selection and Verifier Training for Semi-supervised LLM Reasoning with Minimal Labels

ADAPT-Net: An Adaptive Dynamic Attention and Persistence-Aware Transformer for Overlapping Community Detection in Complex Social Networks

Anomaly Detection Method for Business Processes Based on Enhanced Complex Scenario Logs

The Dashboard Says Perfect: A Systematic Audit of Label-Free Model Monitoring and Test-Time Adaptation Under Temporal Distribution Shift in Network Intrusion Detection

Generative LLMs for Educational Recommendation

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

Adaptive Continual Botnet Detection with Self-Supervised Prototypical Networks and Few-Shot Learning for Evolving Botnet Detection

Explainable AI for Phishing URL Detection: A Bayesian-Optimized Stacking Ensemble Framework with SHAP-Guided Feature Learning