Library

Articles

Every article on Frontiers is peer reviewed, permanently archived and free to read.

Showing 80 articles

Original Research
Published 3 September 2026
TOAD-ML: a trust-aware framework for validating oracle price feeds and detecting manipulation in decentralized finance
Dhivyalakshmi Venkatraman · Manikandan Kuppusamy
Frontiers in Blockchain
doi 10.3389/fbloc.2026.1903202
Original Research
Published 3 September 2026
Spatiotemporal evolution and associated factors of coupling coordination between socio-economic development and ecological health: county-level evidence from the Central Yunnan Urban Agglomeration, China
Ying Li · Lede Niu · Anlin Li · Yan Zhou
Frontiers in Ecology and Evolution
doi 10.3389/fevo.2026.1897877
Original Research
Published 1 September 2026
HyperIDS: a hypergraph learning and quantum-inspired transformer ensemble framework for IoT intrusion detection
Samayank Goel · Logeswari Govindaraj · Tamilarasi Kathirvel Murugan
Frontiers in Big Data
doi 10.3389/fdata.2026.1901121
Original Research
Published 27 August 2026
Interpretable AI for neural signal decoding in dementia: an EEG ensemble approach to differential diagnosis
Fawad Muhammad · Irfan Ahmed Usmani · Muhammad Aamir · Mai Alduailij · Mehrez Marzougui · Rab Nawaz
Frontiers in Neuroinformatics
doi 10.3389/fninf.2026.1902549
Original Research
Published 21 August 2026
Development and internal validation of a machine learning-based clinical decision support tool for surgical intervention in degenerative lumbar spondylolisthesis: a retrospective MRI study
Jie Ma · Hengjun Wang
Frontiers in Musculoskeletal Disorders
doi 10.3389/fmscd.2026.1919288
Original Research
Published 21 August 2026
Differentiating system performance and coordination in the water–energy–food nexus: evidence from the Xiangjiang river basin, China
Ruobei Li · Qimeng Ning · Yuhui Wu · Geyang Deng · Keren Jiang · Qianqian Yi
Frontiers in Water
doi 10.3389/frwa.2026.1880011
Original Research
Published 20 August 2026
A cognitively inspired feature-level fusion framework for interpretable retail sales forecasting using integration of extreme gradient boost machine, artificial neural network and attention mechanism model
Munienge Mbodila · Omobayo Ayokunle Esan
Frontiers in Big Data
doi 10.3389/fdata.2026.1889044
Original Research
Published 12 August 2026
DKFraudNet: a knowledge-guided adversarial learning framework for fraud user detection
Yingjun Shen · Renda Shi · Kaixi Song · Yunpeng Li
Frontiers in Big Data
doi 10.3389/fdata.2026.1887075
Original Research
Published 12 August 2026
Explicit encoding of temporal dynamics for interpretable melody similarity modeling: insight into machine learning models
Yilin Zhang
Frontiers in Computational Neuroscience
doi 10.3389/fncom.2026.1773922
Original Research
Published 4 August 2026
A machine learning framework for predictive interpretation of variants of uncertain significance in hereditary cancer
Nayeema Nizamuddin · Soham Biswas · Akshaykumar Zawar · Poonam Deshpande · Layal Yasin · Prashanth N. Suravajhala
Frontiers in Systems Biology
doi 10.3389/fsysb.2026.1828263
Original Research
Published 31 July 2026
Soil texture classification and mapping in semi-arid regions using machine learning and EnMAP hyperspectral data
Hassan Mosaid · Ahmed Barakat · Mohamed Bayad · Nora Ezouitine · Soufiane Hajaj · Hassan Ouakhir · Mohammed Hssaisoune · Khalid El Bahjaouy · Mohamed El garnaoui · Lhoussaine Bouchaou · El Houssaine Bouras
Frontiers in Soil Science
doi 10.3389/fsoil.2026.1864901
Original Research
Published 23 July 2026
Estimating forest aboveground carbon stock from remote sensing data with an enhanced XGBoost model
Chenfei Shi · Cui Jia · Linghan Gao · Qi Liu · Haonan Wang · Mengyu Xu
Frontiers in Remote Sensing
doi 10.3389/frsen.2026.1877406
Original Research
Published 21 July 2026
A multi-class, multi-temporal crop and Land cover mapping framework for Morocco using Sentinel-1/2 monthly composites and advanced machine learning ensembles
Maryam Choukri · Yacine Bouroubi · Jamal-Eddine Ouzemou · Said Grich · Guy Armel Kamga Fotso · Saeid Ojaghi · Abdelghani Chehbouni · Ahmed Laamrani
Frontiers in Remote Sensing
doi 10.3389/frsen.2026.1827393
Original Research
Published 16 July 2026
Machine learning approach for predicting the severity risk of obstructive sleep apnea syndrome
Qi Wang · Xiaoyu Yang · Shuran Xu · Haohao Wu · Guixuan Wang · Huixian Liu · Ronghua Chen · Fengming Xu · Cheng Wang · Kang Du
Frontiers in Big Data
doi 10.3389/fdata.2026.1832790
Original Research
Published 8 July 2026
Predicting tensile properties of sub-sized nuclear materials using data augmentation strategies on imbalanced and sparse datasets
Altynay Smagulova · Aleksandar Vakanski · John W. Merickel · Isshu Lee · Charith Purushotham · Yalei Tang · Alberto E. Cerpa · Fei Xu · Rongjie Song
Frontiers in Manufacturing Technology
doi 10.3389/fmtec.2026.1811951
Original Research
Published 7 July 2026
Explainable HybridEnsemble approach with golden jackal optimization for AGB estimation using multi-sensor remote sensing
Abraham Aidoo Borsah · Man Sing Wong · Majid Nazeer · Shao-Yuan Leu · Jin Wu · Amos P. K. Tai · Janet Elizabeth Nichol
Frontiers in Remote Sensing
doi 10.3389/frsen.2026.1804569
Original Research
Published 7 July 2026
Cross-model evaluation of phishing detectors against LLM-generated emails
Rommel Gutierrez · William Villegas-Ch · Jaime Govea
Frontiers in Big Data
doi 10.3389/fdata.2026.1883452
Original Research
Published 29 June 2026
Plasma proteomics based on machine learning predict the early risk of kidney outcomes in patients with DKD: a prospective cohort study from UK Biobank
Li Jiang · Tingting Li · Haojun Zhang · Xiai Wu · Tingting Zhao
Frontiers in Nephrology
doi 10.3389/fneph.2026.1862772
Original Research
Published 29 June 2026
Deep learning and body composition model for predicting postoperative complications in colorectal cancer
Ding Ding · Ran Xuan · Rui Li
Frontiers in Medical Technology
doi 10.3389/fmedt.2026.1817439
Original Research
Published 23 June 2026
Adaptive class-aware feature selection for high-dimensional and imbalanced multi-class network intrusion detection
Joseph P. Mchina · Neema Mduma · Ramadhani S. Sinde
Frontiers in Big Data
doi 10.3389/fdata.2026.1871346
Original Research
Published 28 May 2026
FUSION-AD: interpretable AI framework for risk assessment and subgroup discovery in Alzheimer's disease
Abid Iqbal · Saad Arif · Ghassan Husnain · Sarra Ayouni
Frontiers in Neuroinformatics
doi 10.3389/fninf.2026.1799307
Original Research
Published 7 May 2026
Magnetic resonance imaging based radiomics for predicting pathogenetic features and survival in rectal cancer
Bertalan Toth · Marcell Mesterházi · Istvan Szabo · Tamas Mersich · Erika Toth · Janos Szoke · Andras Benczur · Csaba Kerepesi · David Laszlo Tarnoki · Adam Domonkos Tarnoki
Pathology and Oncology Research
doi 10.3389/pore.2026.1612303
Original Research
Published 9 April 2026
Optical character recognition based document image quality assessment
R. Krithika · J. Joshan Athanesious · S. Kiruthika
Frontiers in Signal Processing
doi 10.3389/frsip.2026.1779355
Original Research
Published 23 March 2026
A hybrid deep feature-ensemble learning framework for robust tomato leaf disease classification using DenseNet121-EfficientNetB0 integration and SMOTE-optimize multi-classifier
Omobayo Ayokunle Esan · Dorcas Oladayo Esan
Frontiers in Horticulture
doi 10.3389/fhort.2026.1762580
Systematic Review
Published 17 March 2026
Systematic review of AI-based models in pharmacoepidemiology for adverse drug event prediction and detection
Apostolia Karampatea · Konstantinos Kassandros · Theodoros Constantinides · Christos Kontogiorgis
Frontiers in Drug Safety and Regulation
doi 10.3389/fdsfr.2026.1773186
Original Research
Published 12 November 2025
Pilot mental workload analysis in the A320 traffic pattern based on HRV features
Jiajun Yuan · Bo Jia · Chenyang Zhang · Lu Tian · Han Yi · Lin Wei
Frontiers in Neuroergonomics
doi 10.3389/fnrgo.2025.1672492
Smart Grids
Published 3 November 2025
CatBoost-enhanced convolutional neural network framework with explainable artificial intelligence for smart-grid stability forecasting
Stephanie Ness
Frontiers in Smart Grids
doi 10.3389/frsgr.2025.1617763
Communications and Networks
Published 30 October 2025
F-GGRU: a sensor-driven deep learning framework for smart city weather-aware traffic congestion prediction
Akbar Ali · Adnan Nadeem · Noureen Zafar · Muhammad Shiraz
Frontiers in Communications and Networks
doi 10.3389/frcmn.2025.1666487
Communications and Networks
Published 24 October 2025
Spatio-temporal beam-level traffic forecasting in 5G wireless systems using multi-task learning
Israel Tommy · Taoreed Akinola · Xiangfang Li · Lijun Qian
Frontiers in Communications and Networks
doi 10.3389/frcmn.2025.1658461
Communications and Networks
Published 16 October 2025
XGBoost-driven adaptive spreading factor allocation for energy-efficient LoRaWAN networks
Farhan Nisar · Muhammad Amin · Muhammad Touseef Irshad · Hassan Jalil Hadi · Naveed Ahmad · Mohamad Ladan
Frontiers in Communications and Networks
doi 10.3389/frcmn.2025.1665262
Electronics
Published 21 August 2025
A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries
Tianren Zhao · Yanhui Zhang · Minghao Wang · Wei Feng · Shengxian Cao · Gong Wang
Frontiers in Electronics
doi 10.3389/felec.2025.1654344
Environmental Engineering
Published 31 March 2025
Graph neural network-based water contamination detection from community housing information
Raphael Anaadumba · Yigit Bozkurt · Connor Sullivan · Madhavi Pagare · Pradeep Kurup · Benyuan Liu · Mohammad Arif Ul Alam
Frontiers in Environmental Engineering
doi 10.3389/fenve.2025.1488965