Frontiers in Artificial Intelligence

Original Research

Published on 02 Oct 2026

Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature learning

in Machine Learning

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

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1854934

550 views

Review

Published on 02 Oct 2026

Intelligent defense at the edge: a comprehensive survey of federated learning, TinyML and explainable AI for intrusion detection in IoT and IIoT ecosystems

in Machine Learning

S. Sarath Kumar
M. Asha Jerlin

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1900815

347 views

Original Research

Published on 01 Oct 2026

Hybrid neuro-symbolic graph explanation framework for fraud detection in financial transaction networks

in Machine Learning

Neeraj S. Kumar
Idhikash J.
Jannath Nisha O. S.
Shreenidhi S. R.

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1904459

394 views

Original Research

Published on 01 Oct 2026

Enhancing vehicle routing problem through a qubit-efficient Symmetric Arc Reduction using Quantum Approximate Optimization Algorithm

in Machine Learning

Jayaraja A
Senthil Kumaran U

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1900887

215 views

Original Research

Published on 01 Oct 2026

UniPET: a unified approach for whole-body CT to PET translation

in Machine Learning

Francesco Di Feola
Valerio Guarrasi
Mikael Johansson
Paolo Soda

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1919564

438 views

Original Research

Accepted on 30 Sep 2026

AOViT: An Adaptive Optimized Vision Transformer Model for the Classification of Heritage Paintings

in Machine Learning

Bassam Noori Shaker
Lafta Raheem Ali
Ammar T. Namel
Sam Ansari
Dina Shehada
Abir Jaafar Hussain

Frontiers in Artificial Intelligence

Opinion

Accepted on 30 Sep 2026

Geography, Geospatial Analysis and Artificial Intelligence: Between Traditional Methods and New Spatial Paradigms

in Machine Learning

Cláudia M. Viana
Jorge Rocha

Frontiers in Artificial Intelligence

Original Research

Accepted on 30 Sep 2026

A Temporal Evolving Adaptive Learning Framework with Integrated Explainable AI Dynamic Behavioral Pattern Recognition

in Machine Learning

Hemachandran K
Vijay Anand Rajasekaran

Frontiers in Artificial Intelligence

Original Research

Accepted on 30 Sep 2026

Hierarchical Supervised Contrastive Learning with AP-Attention Encoding for Wi-Fi Fingerprinting Indoor Localization

in Machine Learning

Amr Mohammed
Amr Abdellatif
Mahmoud A. Mahdi

Frontiers in Artificial Intelligence

Original Research

Accepted on 30 Sep 2026

QDentalNet: A Geometry-Aware Hierarchical Mesh Learning and Quantum-Enhanced Network for Automated Dental Occlusion Classification

in Machine Learning

Ramakrishnan Ilanghovan
Alden Jenish S
Karthik R
SUGANTHI K
Praveen R

Frontiers in Artificial Intelligence

Hypothesis and Theory

Accepted on 30 Sep 2026

Performance Gains: Moving Past Static Weight Lock, Financial Scale Walls, and Autoregressive Collapse

in Machine Learning

Katherine J. Lowry

Frontiers in Artificial Intelligence

Original Research

Accepted on 30 Sep 2026

A Global Machine Learning Framework for Predicting National CO₂ Emission Risks: Responsible, Ethical, and Explainable Artificial Intelligence for Sustainable Climate Governance and the Green Transition

in Machine Learning

Khawaja Muhammad Ali
Muhammad Farooq Shaikh

Frontiers in Artificial Intelligence

Original Research

Accepted on 30 Sep 2026

ReqTestAgent: Execution-Grounded Language-Model Agents for Acceptance Testing under Requirement Ambiguity

in Machine Learning

Yunjiao Shi
Rui Song

Frontiers in Artificial Intelligence

Systematic Review

Accepted on 30 Sep 2026

Deep Learning-Based Android Malware Detection Under Realistic Evaluation Constraints: An Architecture-Centered Review and Reliability-Aware Empirical Validation

in Machine Learning

Syed Shuja Hussain
Mohammad Faisal Abdul Razak
Idris Ismail
Ahmad Firdaus Zainal Abidin
Zara Jamil
Abdul Azeem
Shamim Akhter

Frontiers in Artificial Intelligence

Perspective

Accepted on 30 Sep 2026

The Rise of Super-Emotional Intelligence

in Machine Learning

Sophie Bonnaire
Farah I. Corona-Strauss
Daniel J. Strauss

Frontiers in Artificial Intelligence

201 views

Original Research

Accepted on 30 Sep 2026

Data-Based Surrogate Modeling and Performance Prediction of MEMS Touch Mode Capacitive Sensing Using Deep Multilayer Perceptron Networks

in Machine Learning

PUSHPARAJ E
Sumit Jindal

Frontiers in Artificial Intelligence

Systematic Review

Accepted on 30 Sep 2026

A Systematic Review of DoS and DDoS Attack Detection in Cloud Environments: Evolutionary Trends and the Emerging Role of Meta-Learning for Cross-Domain Adaptability

in Machine Learning

Amit Tiwari
Navaneethan C

Frontiers in Artificial Intelligence

Original Research

Accepted on 30 Sep 2026

Comparative Analysis of GAN-Based Augmentation Pipelines for Parkinson's Hypokinetic Dysarthria Severity Detection using Deep Learning

in Machine Learning

Aurobindo S
Prakash Ramachandran
Rajesh Kumar M

Frontiers in Artificial Intelligence

Original Research

Accepted on 30 Sep 2026

Maximum Entropy Relaxation of Multi-Way Cardinality Constraints for Synthetic Population Generation

in Machine Learning

Francois Pachet
Jean-Daniel Zucker

Frontiers in Artificial Intelligence

Original Research

Published on 30 Sep 2026

SkinNet-X: a task coupled feature interaction framework for joint skin lesion segmentation and classification

in Machine Learning

E. Babu
S. Murali

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1886221

375 views

Original Research

Published on 30 Sep 2026

Robust multi-class DDoS and fraud detection using a Context-Adaptive Deep Evolutionary Game Framework with CNN–BiGRU

in Machine Learning

Ashwini V.
Priya V.

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1928178

293 views

Original Research

Published on 30 Sep 2026

Deepfake anomaly detection using kernel density estimation based convolutional autoencoder

in Machine Learning

Manas Ranjan Prusty
Sahil Amritkar
Ananthakrishnan Balasundaram
Subhra Rani Patra

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1834939

360 views

Original Research

Accepted on 29 Sep 2026

Proximal Policy Optimization-Guided Novelty-Aware Multi-Strategy Particle Swarm Optimization for Adaptive Traffic Signal Optimization

in Machine Learning

Manikandan R
Arun Pandian J

Frontiers in Artificial Intelligence

Original Research

Accepted on 29 Sep 2026

Coarse to Fine grained insulator defect detection using two-stage deep learning framework

in Machine Learning

Sultan Khan
Atif Naseer
Habib Ullah
Mohib Ullah

Frontiers in Artificial Intelligence

771 articles

articles

Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature learning

Intelligent defense at the edge: a comprehensive survey of federated learning, TinyML and explainable AI for intrusion detection in IoT and IIoT ecosystems

Hybrid neuro-symbolic graph explanation framework for fraud detection in financial transaction networks

Enhancing vehicle routing problem through a qubit-efficient Symmetric Arc Reduction using Quantum Approximate Optimization Algorithm

UniPET: a unified approach for whole-body CT to PET translation

AOViT: An Adaptive Optimized Vision Transformer Model for the Classification of Heritage Paintings

Geography, Geospatial Analysis and Artificial Intelligence: Between Traditional Methods and New Spatial Paradigms

A Temporal Evolving Adaptive Learning Framework with Integrated Explainable AI Dynamic Behavioral Pattern Recognition

Hierarchical Supervised Contrastive Learning with AP-Attention Encoding for Wi-Fi Fingerprinting Indoor Localization

QDentalNet: A Geometry-Aware Hierarchical Mesh Learning and Quantum-Enhanced Network for Automated Dental Occlusion Classification

Performance Gains: Moving Past Static Weight Lock, Financial Scale Walls, and Autoregressive Collapse

A Global Machine Learning Framework for Predicting National CO₂ Emission Risks: Responsible, Ethical, and Explainable Artificial Intelligence for Sustainable Climate Governance and the Green Transition

ReqTestAgent: Execution-Grounded Language-Model Agents for Acceptance Testing under Requirement Ambiguity

Deep Learning-Based Android Malware Detection Under Realistic Evaluation Constraints: An Architecture-Centered Review and Reliability-Aware Empirical Validation

The Rise of Super-Emotional Intelligence

Data-Based Surrogate Modeling and Performance Prediction of MEMS Touch Mode Capacitive Sensing Using Deep Multilayer Perceptron Networks

A Systematic Review of DoS and DDoS Attack Detection in Cloud Environments: Evolutionary Trends and the Emerging Role of Meta-Learning for Cross-Domain Adaptability

Comparative Analysis of GAN-Based Augmentation Pipelines for Parkinson's Hypokinetic Dysarthria Severity Detection using Deep Learning

Maximum Entropy Relaxation of Multi-Way Cardinality Constraints for Synthetic Population Generation

SkinNet-X: a task coupled feature interaction framework for joint skin lesion segmentation and classification

Robust multi-class DDoS and fraud detection using a Context-Adaptive Deep Evolutionary Game Framework with CNN–BiGRU

Deepfake anomaly detection using kernel density estimation based convolutional autoencoder

Proximal Policy Optimization-Guided Novelty-Aware Multi-Strategy Particle Swarm Optimization for Adaptive Traffic Signal Optimization

Coarse to Fine grained insulator defect detection using two-stage deep learning framework