Frontiers in Big Data

Original Research

Published on 05 Feb 2026

Dynamic transfer learning with co-occurrence-guided multi-source fusion for urban spatio-temporal crime prediction

in Data Analytics for Social Impact

Chen Cui
Ziwan Zheng
Hao Du
Wen Wang

Frontiers in Big Data

doi 10.3389/fdata.2026.1697392

155 views

Original Research

Published on 04 Feb 2026

Depression detection through dual-stream modeling with large language models: a fusion-based transfer learning framework integrating BERT and T5 representations

in Machine Learning and Artificial Intelligence

Na Wang
Weijia Zhang
Raja Kamil
Ian Renner
Syed Abdul Rahman Al-Haddad
Normala Ibrahim
Zhen Zhao

Frontiers in Big Data

doi 10.3389/fdata.2025.1651290

313 views

Original Research

Published on 04 Feb 2026

Modeling household adoption of IoT-based home security in Dhaka: a PLS–machine learning framework

in Machine Learning and Artificial Intelligence

Arif Mahmud
Ashikur Rahman
Fahmid Al Farid
Jia Uddin
Hezerul Bin Abdul Karim

Frontiers in Big Data

doi 10.3389/fdata.2026.1718710

253 views

Original Research

Published on 04 Feb 2026

Algorithmic recourse in sequential decision-making for long-term fairness

in Machine Learning and Artificial Intelligence

Francisco Gumucio
Lu Zhang

Frontiers in Big Data

doi 10.3389/fdata.2026.1750906

284 views

Original Research

Accepted on 02 Feb 2026

FunduScope: A Human-Centered, Machine Learning–Based Interactive Tool for Training Junior Ophthalmologists in Diabetic Retinopathy Detection

in Machine Learning and Artificial Intelligence

Sara-Jane Bittner
Michael Barz
Daniel Sonntag

Frontiers in Big Data

Original Research

Published on 02 Feb 2026

Adaptive core-enhanced latent factor model for highly accurate QoS prediction

in Data Mining and Management

Siqi Ai
Peixin Li
Hao Fang
Yonghui Xia

Frontiers in Big Data

doi 10.3389/fdata.2026.1775728

265 views

Original Research

Published on 22 Jan 2026

Examining the influence of deterrent and enhancement factors on QR-code mobile payment continuance intention: insights from PLS-SEM and IPMA analysis

in Data Analytics for Social Impact

Ashikur Rahman
Fahmid al Farid
Mohammad Abul Bashar
Jia Uddin
Arif Mahmud
Hezerul Abdul Karim

Frontiers in Big Data

doi 10.3389/fdata.2025.1679897

3,162 views

Original Research

Published on 22 Jan 2026

EnDuSecFed: an ensemble approach for privacy preserving Federated Learning with dual-security framework for sustainable healthcare

in Cybersecurity and Privacy

Bela Shrimali
Jenil Gajjar
Swapnoneel Roy
Sanjay Patel
Kanu Patel
Ramesh Ram Naik

Frontiers in Big Data

doi 10.3389/fdata.2025.1659026

920 views

Original Research

Accepted on 20 Jan 2026

A Genetic Algorithm-Based Framework for Online Sparse Feature Selection in Data Streams

in Data Mining and Management

Guanyu Liu
Jinhang Liu
Guifan He
Yifan Liu
Huabo Bai
Zhou Min

Frontiers in Big Data

226 views

Original Research

Accepted on 19 Jan 2026

Federated Learning for Teacher Data Privacy Protection: A Study in the Context of the PIPL

in Cybersecurity and Privacy

Shan Wei Chen
Xiu Zhi Qi
Xue Hui Han
Zhao Chen Fan
Le Le Wang

Frontiers in Big Data

206 views

Original Research

Accepted on 19 Jan 2026

Spatiotemporal Deep Learning Framework for Predictive Behavioral Threat Detection in Surveillance Footage

in Cybersecurity and Privacy

Asha Matta
Chandra Sekhara Rao M. V. P.

Frontiers in Big Data

157 views

Original Research

Published on 16 Jan 2026

Big data approaches to bovine bioacoustics: a FAIR-compliant dataset and scalable ML framework for precision livestock welfare

in Data Science

Mayuri Kate
Suresh Neethirajan

Frontiers in Big Data

doi 10.3389/fdata.2025.1723155

1,074 views

Original Research

Published on 14 Jan 2026

Deep learning-enabled hybrid systems for accurate recognition of text in seal images

in Data Mining and Management

Keke Zhang
Mingyu Guan
Chao Wu
Yutong Li
Qingguo Lü
Yi Liu
Yi Wang
Wei Wang
Wei Zhang

Frontiers in Big Data

doi 10.3389/fdata.2025.1753871

766 views

Original Research

Published on 13 Jan 2026

Dynamic patterns of healthy lifestyle awareness after COVID-19: a study using Google Trends and joinpoint regression

in Medicine and Public Health

Zahroh Shaluhiyah
Shabrina Arifia Qatrannada
Roshan Kumar Mahato
Farid Agushybana
Sri Handayani
Dzul Fahmi Afriyanto
Usha Rani
Dewie Sulistyorini

Frontiers in Big Data

doi 10.3389/fdata.2025.1717592

745 views

Original Research

Published on 12 Jan 2026

Explainable attrition risk scoring for managerial retention decisions in human resource analytics

in Machine Learning and Artificial Intelligence

M. S. Pavithran
S. M. Vadivel

Frontiers in Big Data

doi 10.3389/fdata.2025.1699561

1,188 views

Original Research

Published on 12 Jan 2026

Improving early liver metastasis detection in colorectal cancer using a weighted ensemble of ResNet50 and swin transformer: a KHCC study

in Medicine and Public Health

Ahmad Nasayreh
Hasan Gharaibeh
Rula Al-Qawabah
Azza Gharaibeh
Bayan Altalla
Iyad Sultan

Frontiers in Big Data

doi 10.3389/fdata.2025.1700292

1,271 views

Original Research

Published on 09 Jan 2026

Decoding deception: state-of-the-art approaches to deep fake detection

in Machine Learning and Artificial Intelligence

Tarak Hussain
B. Tirapathi Reddy
Kondaveti Phanindra
Sailaja Terumalasetti
Ghufran Ahmad Khan

Frontiers in Big Data

doi 10.3389/fdata.2025.1670833

1,951 views

Review

Published on 08 Jan 2026

Bias in AI systems: integrating formal and socio-technical approaches

in Machine Learning and Artificial Intelligence

Amar Ahmad
Yvonne Vallès
Youssef Idaghdour

Frontiers in Big Data

doi 10.3389/fdata.2025.1686452

1,555 views

Original Research

Published on 06 Jan 2026

Hybrid deep learning models for fake news detection: case study on Arabic and English languages

in Machine Learning and Artificial Intelligence

Baqer M. Merzah
Jafar Razmara
Zolfaghar Salmanian

Frontiers in Big Data

doi 10.3389/fdata.2025.1683786

2,066 views

Original Research

Published on 05 Jan 2026

Adaptive model for rate of penetration prediction based on the dynamic correlation of influencing factors

in Machine Learning and Artificial Intelligence

Yonggang Deng
Xiaojing Zhou
Zixuan Feng
Xin Li
Hui Li

Frontiers in Big Data

doi 10.3389/fdata.2025.1676054

556 views

Systematic Review

Published on 02 Jan 2026

Application of artificial intelligence in cervical cytology: a systematic review of deep learning models, datasets, and reported metrics

in Medicine and Public Health

Miguel Angel Valles-Coral
Lloy Pinedo
Ciro Rodríguez
Diego Rodríguez
Keller Sánchez-Dávila
Lolita Arévalo-Fasanando
Nelly Reátegui-Lozano

Frontiers in Big Data

doi 10.3389/fdata.2025.1678863

1,504 views

Original Research

Published on 19 Dec 2025

Time series forecasting for bug resolution using machine learning and deep learning models

in Data Mining and Management

Lerina Aversano
Martina Iammarino
Antonella Madau
Fabiano Pecorelli

Frontiers in Big Data

doi 10.3389/fdata.2025.1745751

2,029 views

Original Research

Published on 18 Dec 2025

Transparent and trustworthy CyberSecurity: an XAI-integrated big data framework for phishing attack detection

in Cybersecurity and Privacy

Muhammad Nauman
Hafiz Muhammad Usman Akhtar
Huseyn Gorbani
Muhammad Hadi Ul Hassan
Muhammad A. B. Fayyaz

Frontiers in Big Data

doi 10.3389/fdata.2025.1688091

2,567 views

Original Research

Published on 18 Dec 2025

Privacy protection method for ADS-B air traffic control data based on convolutional neural network and symmetric encryption

in Cybersecurity and Privacy

Changsheng Ma
Ruchun Jia
Jing Lou
Mingqian Wang

Frontiers in Big Data

doi 10.3389/fdata.2025.1683027

1,982 views

715 articles

articles

Dynamic transfer learning with co-occurrence-guided multi-source fusion for urban spatio-temporal crime prediction

Depression detection through dual-stream modeling with large language models: a fusion-based transfer learning framework integrating BERT and T5 representations

Modeling household adoption of IoT-based home security in Dhaka: a PLS–machine learning framework

Algorithmic recourse in sequential decision-making for long-term fairness

FunduScope: A Human-Centered, Machine Learning–Based Interactive Tool for Training Junior Ophthalmologists in Diabetic Retinopathy Detection

Adaptive core-enhanced latent factor model for highly accurate QoS prediction

Examining the influence of deterrent and enhancement factors on QR-code mobile payment continuance intention: insights from PLS-SEM and IPMA analysis

EnDuSecFed: an ensemble approach for privacy preserving Federated Learning with dual-security framework for sustainable healthcare

A Genetic Algorithm-Based Framework for Online Sparse Feature Selection in Data Streams

Federated Learning for Teacher Data Privacy Protection: A Study in the Context of the PIPL

Spatiotemporal Deep Learning Framework for Predictive Behavioral Threat Detection in Surveillance Footage

Big data approaches to bovine bioacoustics: a FAIR-compliant dataset and scalable ML framework for precision livestock welfare

Deep learning-enabled hybrid systems for accurate recognition of text in seal images

Dynamic patterns of healthy lifestyle awareness after COVID-19: a study using Google Trends and joinpoint regression

Explainable attrition risk scoring for managerial retention decisions in human resource analytics

Improving early liver metastasis detection in colorectal cancer using a weighted ensemble of ResNet50 and swin transformer: a KHCC study

Decoding deception: state-of-the-art approaches to deep fake detection

Bias in AI systems: integrating formal and socio-technical approaches

Hybrid deep learning models for fake news detection: case study on Arabic and English languages

Adaptive model for rate of penetration prediction based on the dynamic correlation of influencing factors

Application of artificial intelligence in cervical cytology: a systematic review of deep learning models, datasets, and reported metrics

Time series forecasting for bug resolution using machine learning and deep learning models

Transparent and trustworthy CyberSecurity: an XAI-integrated big data framework for phishing attack detection

Privacy protection method for ADS-B air traffic control data based on convolutional neural network and symmetric encryption