Frontiers in Artificial Intelligence | Machine Learning and Artificial Intelligence

Original Research

Published on 09 Sep 2025

A deep learning/machine learning approach for anomaly based network intrusion detection

in Machine Learning and Artificial Intelligence

Reem Almuhanna
Samia Dardouri

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1625891

8,952 views
7 citations

Original Research

Published on 09 Sep 2025

Weight-aware semi-supervised self-ensembling framework for interior decoration style classification

in Machine Learning and Artificial Intelligence

Lichun Guo
Hao Zeng
Junliang Wang
Shuang Liang
Wenlong Hang

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1645877

1,209 views

Original Research

Published on 09 Sep 2025

Evaluation of vision transformers for the detection of fullness of garbage bins for efficient waste management

in Machine Learning and Artificial Intelligence

Parakram Singh Tanwer
Shishir Maheshwari
Sushree Behera
Amit Chauhan
T. Sunil Kumar

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1612080

2,878 views

Original Research

Published on 08 Sep 2025

Enhanced deep Convolutional Neural Network for SARS-CoV-2 variants classification

in Machine Learning and Artificial Intelligence

Olaitan I. Awe
Hesborn Obura
Charles Ssemuyiga
Evans Mudibo
Mike J. Mwanga

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1512003

3,032 views
3 citations

Original Research

Published on 08 Sep 2025

Entropy-adaptive differential privacy federated learning for student performance prediction and privacy protection: a case study in Python programming

in Machine Learning and Artificial Intelligence

Shanwei Chen
Xiuzhi Qi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1653437

2,067 views

Original Research

Published on 03 Sep 2025

An AI-powered framework for assessing teacher performance in classroom interactions: a deep learning approach

in Machine Learning and Artificial Intelligence

Arwa Almubarak
Wadee Alhalabi
Ibrahim Albidewi
Eaman Alharbi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1553051

4,875 views
1 citation

Original Research

Published on 02 Sep 2025

A drop-out mechanism for active learning based on one-attribute heuristics

in Machine Learning and Artificial Intelligence

Sriram Ravichandran
Nandan Sudarsanam
Balaraman Ravindran
Konstantinos V. Katsikopoulos

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1562916

1,633 views

Original Research

Published on 01 Sep 2025

Image restoration and key field alignment for misaligned overlapping text in secondary printing document images

in Machine Learning and Artificial Intelligence

Senlong Wang
Junchao Ge
Jiantao Zhang
Hong He
Yunwei Zhang

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1616007

2,055 views

Perspective

Published on 29 Aug 2025

Breaking the gatekeepers: how AI will revolutionize scientific funding

in Machine Learning and Artificial Intelligence

Madhur Mangalam

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1667752

2,704 views

Correction

Published on 29 Aug 2025

Correction: Research on the robustness of the open-world test-time training model

in Machine Learning and Artificial Intelligence

Shu Pi
Xin Wang
Jiatian Pi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1682908

784 views

Original Research

Published on 26 Aug 2025

Effective methods and framework for energy-based local learning of deep neural networks

in Machine Learning and Artificial Intelligence

Haibo Chen
Bangcheng Yang
Fucun He
Fei Zhou
Shuai Chen
Chunpeng Wu
Fan Li
Yansong Chua

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1605706

2,269 views

Original Research

Published on 25 Aug 2025

Efficient spatio-temporal modeling for sign language recognition using CNN and RNN architectures

in Machine Learning and Artificial Intelligence

Kasian Myagila
Devotha Godfrey Nyambo
Mussa Ally Dida

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1630743

2,701 views
1 citation

Original Research

Published on 22 Aug 2025

BlendNet: a blending-based convolutional neural network for effective deep learning of electrocardiogram signals

in Machine Learning and Artificial Intelligence

S. Premanand
Sathiya Narayanan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1625637

2,485 views

Systematic Review

Published on 22 Aug 2025

A systematic review of deep learning methods for community detection in social networks

in Machine Learning and Artificial Intelligence

Mohamed El-Moussaoui
Mohamed Hanine
Ali Kartit
Monica Garcia Villar
Helena Garay
Isabel de la Torre Díez

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1572645

4,636 views
1 citation

Editorial

Published on 21 Aug 2025

Editorial: Deep neural network architectures and reservoir computing

in Machine Learning and Artificial Intelligence

Sou Nobukawa
Arya Kumar Bhattacharya
Akira Hirose

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1676744

2,996 views

Original Research

Published on 20 Aug 2025

Probing for consciousness in machines

in Machine Learning and Artificial Intelligence

Mathis Immertreu
Achim Schilling
Andreas Maier
Patrick Krauss

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1610225

7,199 views
3 citations

Original Research

Published on 20 Aug 2025

Graph neural networks with configuration cross-attention for tensor compilers

in Machine Learning and Artificial Intelligence

Dmitrii Khizbullin
Eduardo Rocha de Andrade
Thanh Hau Nguyen
Matheus Pedroza Ferreira
David R. Pugh

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1605539

2,362 views

Original Research

Published on 20 Aug 2025

AI in conjunctivitis research: assessing ChatGPT and DeepSeek for etiology, intervention, and citation integrity via hallucination rate analysis

in Machine Learning and Artificial Intelligence

Muhammad Hasnain
Khursheed Aurangzeb
Musaed Alhussein
Imran Ghani
Muhammad Hamza Mahmood

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1579375

18,289 views
1 citation

Original Research

Published on 18 Aug 2025

Comparative analysis of multimodal architectures for effective skin lesion detection using clinical and image data

in Machine Learning and Artificial Intelligence

Adriteyo Das
Vedant Agarwal
Nisha P. Shetty

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1608837

5,300 views
1 citation

Original Research

Published on 14 Aug 2025

A brain-inspired memory transformation based differentiable neural computer for reasoning-based question answering

in Machine Learning and Artificial Intelligence

Yao Liang
Yuwei Wang
Hongjian Fang
Feifei Zhao
Yi Zeng

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1635932

3,472 views

Original Research

Published on 12 Aug 2025

A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards

in Machine Learning and Artificial Intelligence

Arthur Gonsales da Silva
Roger Pinho de Oliveira
Caio de Oliveira Bastos
Elena Almeida de Carvalho
Bruno Duarte Gomes

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1524380

1,612 views

Original Research

Published on 07 Aug 2025

Classification prediction of load losses in power stations using machine learning multilayer stack ensemble

in Machine Learning and Artificial Intelligence

Bathandekile M. Boshoma
Oluwole S. Akinola
Peter Olukanmi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1592492

2,483 views
1 citation

Original Research

Published on 07 Aug 2025

Spectral momentum integration: hybrid optimization of frequency and time domain gradients

in Machine Learning and Artificial Intelligence

Zhigao Huang
Musheng Chen
Shiyan Zheng

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1628943

1,592 views

Original Research

Published on 04 Aug 2025

Research on the robustness of the open-world test-time training model

in Machine Learning and Artificial Intelligence

Shu Pi
Xin Wang
Jiatian Pi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1621025

2,435 views

516 articles

articles

A deep learning/machine learning approach for anomaly based network intrusion detection

Weight-aware semi-supervised self-ensembling framework for interior decoration style classification

Evaluation of vision transformers for the detection of fullness of garbage bins for efficient waste management

Enhanced deep Convolutional Neural Network for SARS-CoV-2 variants classification

Entropy-adaptive differential privacy federated learning for student performance prediction and privacy protection: a case study in Python programming

An AI-powered framework for assessing teacher performance in classroom interactions: a deep learning approach

A drop-out mechanism for active learning based on one-attribute heuristics

Image restoration and key field alignment for misaligned overlapping text in secondary printing document images

Breaking the gatekeepers: how AI will revolutionize scientific funding

Correction: Research on the robustness of the open-world test-time training model

Effective methods and framework for energy-based local learning of deep neural networks

Efficient spatio-temporal modeling for sign language recognition using CNN and RNN architectures

BlendNet: a blending-based convolutional neural network for effective deep learning of electrocardiogram signals

A systematic review of deep learning methods for community detection in social networks

Editorial: Deep neural network architectures and reservoir computing

Probing for consciousness in machines

Graph neural networks with configuration cross-attention for tensor compilers

AI in conjunctivitis research: assessing ChatGPT and DeepSeek for etiology, intervention, and citation integrity via hallucination rate analysis

Comparative analysis of multimodal architectures for effective skin lesion detection using clinical and image data

A brain-inspired memory transformation based differentiable neural computer for reasoning-based question answering

A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards

Classification prediction of load losses in power stations using machine learning multilayer stack ensemble

Spectral momentum integration: hybrid optimization of frequency and time domain gradients

Research on the robustness of the open-world test-time training model