Frontiers in Artificial Intelligence | Machine Learning and Artificial Intelligence

Original Research

Published on 22 Sep 2025

GAAPO: genetic algorithmic applied to prompt optimization

in Machine Learning and Artificial Intelligence

Xavier Sécheresse
Jacques-Yves Guilbert–Ly
Antoine Villedieu de Torcy

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1613007

3,229 views
3 citations

Original Research

Published on 22 Sep 2025

Parallel joint encoding for drone-view object detection under low-light conditions

in Machine Learning and Artificial Intelligence

Liwen Liu
Bo Zhou
Qiqin Li
Gui Fu
You Wang
Hongyu Chu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1622100

1,246 views

Original Research

Published on 17 Sep 2025

Lipschitz-based robustness estimation for hyperdimensional learning

in Machine Learning and Artificial Intelligence

Calvin Yeung
Hamza Errahmouni Barkam
Zhuowen Zou
Sanggeon Yun
Nathaniel D. Bastian
Mohsen Imani

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1637105

1,133 views

Original Research

Published on 17 Sep 2025

Optimizing training of time series diffusion models via similarity score functions: application to cyclic and acyclic motion with IMU data

in Machine Learning and Artificial Intelligence

Heiko Oppel
Andreas Spilz
Michael Munz

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1640948

1,159 views

Original Research

Published on 16 Sep 2025

Utilizing XGBoosts to correct arcjet contamination in magnetic field measurements from GOES missions

in Machine Learning and Artificial Intelligence

Fadil Inceoglu
Paul T. M. Loto'aniu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1628029

1,003 views

Original Research

Published on 12 Sep 2025

Auto-scaling LLM-based multi-agent systems through dynamic integration of agents

in Machine Learning and Artificial Intelligence

Ravindu Perera
Anuradha Basnayake
Manjusri Wickramasinghe

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1638227

5,698 views

Original Research

Published on 11 Sep 2025

Decoding manipulative narratives in cognitive warfare: a case study of the Russia-Ukraine conflict

in Machine Learning and Artificial Intelligence

Andrii Paziuk
Dmytro Lande
Elina Shnurko-Tabakova
Phillip Kingston

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1566022

7,418 views
1 citation

Original Research

Published on 09 Sep 2025

Enhanced YOLOv8 for industrial polymer films: a semi-supervised framework for micron-scale defect detection

in Machine Learning and Artificial Intelligence

Xiaoxia Yu
Bingyu Hu
Weifeng Jiang
Jinru Wan
Xinduoji Yang
Nianbo Liu
Xiaoyan Dong

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1638772

1,476 views

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

5,777 views
1 citation

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

945 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

1,838 views

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

1,318 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

2,393 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

3,341 views

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

1,359 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

1,552 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

1,690 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

662 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

1,718 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

2,029 views

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

2,018 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

3,405 views

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

2,381 views

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

1,765 views

476 articles

articles

GAAPO: genetic algorithmic applied to prompt optimization

Parallel joint encoding for drone-view object detection under low-light conditions

Lipschitz-based robustness estimation for hyperdimensional learning

Optimizing training of time series diffusion models via similarity score functions: application to cyclic and acyclic motion with IMU data

Utilizing XGBoosts to correct arcjet contamination in magnetic field measurements from GOES missions

Auto-scaling LLM-based multi-agent systems through dynamic integration of agents

Decoding manipulative narratives in cognitive warfare: a case study of the Russia-Ukraine conflict

Enhanced YOLOv8 for industrial polymer films: a semi-supervised framework for micron-scale defect detection

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

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

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

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

Graph neural networks with configuration cross-attention for tensor compilers