Frontiers in Artificial Intelligence | Machine Learning and Artificial Intelligence

Original Research

Published on 14 Aug 2026

LATTICE: a governance-first architecture for authorized autonomous AI operations

in Machine Learning and Artificial Intelligence

Elias Calboreanu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1800407

424 views

Original Research

Accepted on 12 Aug 2026

Multi-Resolution Perceiver-Based Residual Attention for Explainable Fault Diagnosis in Power Transmission Systems

in Machine Learning and Artificial Intelligence

Shantanu Wani
Abinaya S
Abirami S
Priyadarshini R

Frontiers in Artificial Intelligence

Original Research

Accepted on 11 Aug 2026

The Impact of Artificial Intelligence with Multi-Head Self-Attention Based Deep Learning Model for Students' Academic Performance Monitoring

in Machine Learning and Artificial Intelligence

Mahmoud Ragab

Frontiers in Artificial Intelligence

238 views

Original Research

Accepted on 11 Aug 2026

DEEP LEARNING BASED EV BATTERY FAULT DIAGNOSIS USING RBBMO WITH CAR-TATNET FAULT DETECTION

in Machine Learning and Artificial Intelligence

TAMIZHARASI G
RAJINI GK

Frontiers in Artificial Intelligence

135 views

Original Research

Published on 11 Aug 2026

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

in Machine Learning and Artificial Intelligence

S. Kavya
D. Sumathi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1880282

771 views

Original Research

Published on 11 Aug 2026

What really happens when a dev vibes with the code? An empirical study on LLM behavioral divergence in response to expressive code comments

in Machine Learning and Artificial Intelligence

Angela N. Johnson

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1784973

373 views

Systematic Review

Published on 11 Aug 2026

A systematic literature review exploring the application of deep learning in electric vehicles from 2015 to 2025

in Machine Learning and Artificial Intelligence

John Vianney Ssennono
Javeed Kittur
Sabah-Ud-Din Waqar

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1826633

659 views

Original Research

Published on 11 Aug 2026

Automated evaluation of dental cavity preparation quality using deep learning and anatomically informed geometric analysis

in Machine Learning and Artificial Intelligence

Abdullah F. Alshammari
Bassam A. Anazi
Mahvish Khan
Hamdan A. Alshammari
Najmah A. Almowina
Yousef E. Alenezi
Saif Khan
Shafiul Haque
Ahmed A. Madfa

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1884843

422 views

Original Research

Published on 11 Aug 2026

Predicting influenza in the post-COVID era: assessing LSTM, GRU, and transformer robustness to covariate shift

in Machine Learning and Artificial Intelligence

Atiqa Naeem Alam Din
Woldegebriel Assefa Woldegerima
Jianhong Wu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1886896

345 views

Systematic Review

Accepted on 10 Aug 2026

Accuracy--Latency Trade-offs and Absent Embedded Validation in Deep Learning Driver Drowsiness Detection: A PRISMA Systematic Review

in Machine Learning and Artificial Intelligence

Christian Wilbert Salas Yupanqui
Cristhian Edy Llanque Tipo
Frank Diego Choquehuanca Huayhua
Esteban Tocto-Cano

Frontiers in Artificial Intelligence

Original Research

Accepted on 10 Aug 2026

Hybrid Neuro-Symbolic Graph Explanation Framework for Fraud Detection in Financial Transaction Networks

in Machine Learning and Artificial Intelligence

JANNATH NISHA O S
Neeraj S Kumar
Idhikash J
Shreenidhi S R

Frontiers in Artificial Intelligence

124 views

Review

Accepted on 10 Aug 2026

Deep Learning Techniques for Extreme Rainfall Prediction: A Review of State-of-the-Art

in Machine Learning and Artificial Intelligence

Braiton U. Mukhalela
Serestina Viriri
David Ndzi
Michael Gebreslasie
Muhammad Zeeshan Shakir
Naeem Ramzan
Fahad Ayaz
Mary Lynch
Llinos Haf Spencer
Saloshni Naidoo

Frontiers in Artificial Intelligence

103 views

Original Research

Accepted on 10 Aug 2026

Uncertainty-Aware Federated Temporal Learning with Explainable LLM-Based Coaching for Privacy-Preserving Wearable Health Systems

in Machine Learning and Artificial Intelligence

Prassanna J
Duane Chembakassery
Harisankar R Nair

Frontiers in Artificial Intelligence

Original Research

Published on 10 Aug 2026

GA-AFedOD: gradient-aligned active federated learning for resource-aware object detection in edge industrial IoT

in Machine Learning and Artificial Intelligence

Zepeng Wang
Xiaogang Yuan
Jie Chen

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1895239

414 views

Original Research

Published on 10 Aug 2026

Fear-driven predator–prey dynamics with prey refuge: analytical framework and physics-informed neural network approach

in Machine Learning and Artificial Intelligence

G. Ramraj
T. Poornima

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1868693

429 views

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

254 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

288 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

392 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

527 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

149 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

143 views

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

690 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

634 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

361 views

693 articles

articles

LATTICE: a governance-first architecture for authorized autonomous AI operations

Multi-Resolution Perceiver-Based Residual Attention for Explainable Fault Diagnosis in Power Transmission Systems

The Impact of Artificial Intelligence with Multi-Head Self-Attention Based Deep Learning Model for Students' Academic Performance Monitoring

DEEP LEARNING BASED EV BATTERY FAULT DIAGNOSIS USING RBBMO WITH CAR-TATNET FAULT DETECTION

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

What really happens when a dev vibes with the code? An empirical study on LLM behavioral divergence in response to expressive code comments

A systematic literature review exploring the application of deep learning in electric vehicles from 2015 to 2025

Automated evaluation of dental cavity preparation quality using deep learning and anatomically informed geometric analysis

Predicting influenza in the post-COVID era: assessing LSTM, GRU, and transformer robustness to covariate shift

Accuracy--Latency Trade-offs and Absent Embedded Validation in Deep Learning Driver Drowsiness Detection: A PRISMA Systematic Review

Hybrid Neuro-Symbolic Graph Explanation Framework for Fraud Detection in Financial Transaction Networks

Deep Learning Techniques for Extreme Rainfall Prediction: A Review of State-of-the-Art

Uncertainty-Aware Federated Temporal Learning with Explainable LLM-Based Coaching for Privacy-Preserving Wearable Health Systems

GA-AFedOD: gradient-aligned active federated learning for resource-aware object detection in edge industrial IoT

Fear-driven predator–prey dynamics with prey refuge: analytical framework and physics-informed neural network approach

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

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

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

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