Frontiers in Big Data

Original Research

Published on 15 Sep 2026

From crisis to new routine: shifts in urban shopping mobility and socioeconomic inequality during and after the COVID-19 shock

in Data Analytics for Social Impact

Yilun Xu
Mohsen Bahrami
Alex Pentland

Frontiers in Big Data

doi 10.3389/fdata.2026.1776172

648 views

Original Research

Published on 14 Sep 2026

Voluntary disclosure, banking stability, and AI-augmented forensic accounting: an exploratory econometric and machine-learning study of Palestinian banks

in Data Analytics for Social Impact

Bahaa Subhi Razia
Najwan Ibrahim Jadallah
Qasim Zureigat
Reem Khamis
Bahaa Subhi Awwad

Frontiers in Big Data

doi 10.3389/fdata.2026.1914133

445 views

Review

Published on 14 Sep 2026

Algorithmic advances in smart TV content recommendation: a structured evidence-mapping review

in Recommender Systems

Zhe Chen
Jing He
Yuanjia Gong
Junge Liang
Jilong Li

Frontiers in Big Data

doi 10.3389/fdata.2026.1927033

222 views

Original Research

Published on 14 Sep 2026

An empirical test of antecedents and perceived performance of big data analytics in telecommunication companies

in Network Science and Graph Data

Ibrahim Magboul
Diaeldin Osman
Fadi Herzallah
Alnour Nadir Osman
Dexter Gittens

Frontiers in Big Data

doi 10.3389/fdata.2026.1763520

1,295 views

Original Research

Accepted on 11 Sep 2026

The Cognitive City Cybersecurity Readiness Index (C3RI): An Evidence-Based Model for AI-Driven Urban Infrastructure

in Cybersecurity and Privacy

Reem Alshareef
Mahmood Niazi
Mohammad Alshayeb
Sajjad Mahmood

Frontiers in Big Data

147 views

Original Research

Published on 11 Sep 2026

Data-driven adaptive hybrid models for exchange rate return forecasting

in Machine Learning and Artificial Intelligence

Olumide Sunday Adesina
Lawrence Ogechukwu Obokoh

Frontiers in Big Data

doi 10.3389/fdata.2026.1917723

665 views

Original Research

Published on 10 Sep 2026

IOTTRUST: graph-based anomaly detection for IoT intrusion using network flow topology and community structure analysis on UNSW-NB15

in Cybersecurity and Privacy

Nachaat Mohamed
Hamed Taherdoost

Frontiers in Big Data

doi 10.3389/fdata.2026.1885965

744 views

Editorial

Published on 10 Sep 2026

Editorial: Smart forecasting: deep learning and explainable AI for real-world time series prediction

in Data Mining and Management

Leonard Barolli
Antonino Ferraro
Antonio Galli
Francesco Moscato

Frontiers in Big Data

doi 10.3389/fdata.2026.1954626

773 views

Original Research

Published on 10 Sep 2026

Fine-tuning multilingual sentence transformers for low-resource skill-concept matching across Kazakh, Russian, and English

in Machine Learning and Artificial Intelligence

Sandugash Serikbayeva
Madina Sambetbayeva
Valiya Ramazanova
Aigerim Yerimbetova
Zhanar Lamasheva
Zhanna Sadirmekova
Ardak Batyrkhanov
Yersaiyn Mailybayev

Frontiers in Big Data

doi 10.3389/fdata.2026.1900836

574 views

Original Research

Published on 09 Sep 2026

A comparative study of DistilBERT and Perceiver for deceptive review detection in hospitality review data

in Data Mining and Management

Ioana Ximena Remeş
Felicia Mirabela Costea
Cornelia Aurora Gyorödi

Frontiers in Big Data

doi 10.3389/fdata.2026.1918383

502 views

Perspective

Accepted on 07 Sep 2026

Controlled knowledge updating in memory-enabled AI agents: beyond model editing and recall

in Machine Learning

Gabriel Chavira Juarez
Eder Jahir Gonzalez Bravo
Guadalupe Esmeralda Rivera García
Javier A. Arcos Espinosa
Salvador W. Nava-Díaz

Frontiers in Big Data

211 views

Review

Published on 07 Sep 2026

AI-driven cybersecurity for industrial internet of things: architectures, challenges, datasets, and future research directions

in Cybersecurity and Privacy

Siddhartha Singhal
Kakelli Anil Kumar

Frontiers in Big Data

doi 10.3389/fdata.2026.1938279

967 views

Original Research

Published on 07 Sep 2026

Reconstruction-aware urban crime analytics from incomplete judicial records using heterogeneous graph temporal imputation

in Machine Learning and Artificial Intelligence

Wen Xu
Yong Dai
Qi Zhang
Keyu Chen
Sanxia Zeng

Frontiers in Big Data

doi 10.3389/fdata.2026.1876811

608 views

Original Research

Published on 03 Sep 2026

HK-DeepIV: heat-kernel geometric diagnostics and early-warning signals for curvature-induced interference in financial correlation networks

in Big Data Networks

Ntebogang Dinah Moroke

Frontiers in Big Data

doi 10.3389/fdata.2026.1925931

741 views

Original Research

Accepted on 02 Sep 2026

Machine-Assisted Adaptive Feedback Consensus Method for Large-Scale Group Decision Making Based on Reinforcement Learning

in Machine Learning and Artificial Intelligence

Hongyu Yu
Xuanhua Xu
Weiwei Zhang

Frontiers in Big Data

172 views

Original Research

Published on 01 Sep 2026

HyperIDS: a hypergraph learning and quantum-inspired transformer ensemble framework for IoT intrusion detection

in Cybersecurity and Privacy

Samayank Goel
Logeswari Govindaraj
Tamilarasi Kathirvel Murugan

Frontiers in Big Data

doi 10.3389/fdata.2026.1901121

1,203 views

Original Research

Published on 31 Aug 2026

GICPIdb: an archival repository of multimodal data focusing on pathological images for gastrointestinal cancers

in Medicine and Public Health

Huang Chen
Ling Tong
Jinyang Liu
Kai Liu
Xintao Li
Shufang Shi
Shuxue Xi
Geng Tian
Meijun Zhang
Dingrong Zhong

Frontiers in Big Data

doi 10.3389/fdata.2026.1924721

667 views

Original Research

Accepted on 30 Aug 2026

Evaluating the Reach and Equity of Public Spaces in Mexico City Using Mobility Data: The Case of the Utopias in Iztapalapa

in Data Analytics for Social Impact

Ollin Demian Langle Chimal
Natalia Cadavid Aguilar
Alberto Meouchi Velez
Roberto Ponce Lopez

Frontiers in Big Data

194 views

Original Research

Published on 28 Aug 2026

Study of deep learning cues for cross linguistic part of speech tagging in English– Malayalam code-mixed data

in Machine Learning and Artificial Intelligence

Parvathy Padmakumar
Shreya S. Nair
A. K. Prajisha
S. Thara

Frontiers in Big Data

doi 10.3389/fdata.2026.1888885

946 views

Original Research

Published on 27 Aug 2026

A novel three-parameter Gompertz-Lomax Distribution with a physics-informed survival network: statistical theory, hazard shape characterization, and real-world applications

in Data Science

Furqan Ahmed P.
Sujatha V.

Frontiers in Big Data

doi 10.3389/fdata.2026.1897881

775 views

Technology and Code

Published on 27 Aug 2026

BRI DataLab: an AI-assisted research platform for Chinese infrastructure finance

in Data Analytics for Social Impact

Sanoop Sajan Koshy

Frontiers in Big Data

doi 10.3389/fdata.2026.1863692

843 views

Opinion

Accepted on 24 Aug 2026

Humans as Infrastructure: Is AI Initiated Steganography in Social Media Possible?

in Cybersecurity and Privacy

Daniele Ortu

Frontiers in Big Data

565 views

Original Research

Accepted on 24 Aug 2026

Anticipating User Desires: Predicting Software Product Feature Demand through Consumer Behavioral Analytics

in Machine Learning and Artificial Intelligence

Abdullah Aldaeej

Frontiers in Big Data

227 views

Original Research

Published on 20 Aug 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

in Machine Learning and Artificial Intelligence

Munienge Mbodila
Omobayo Ayokunle Esan

Frontiers in Big Data

doi 10.3389/fdata.2026.1889044

1,263 views

791 articles

articles

From crisis to new routine: shifts in urban shopping mobility and socioeconomic inequality during and after the COVID-19 shock

Voluntary disclosure, banking stability, and AI-augmented forensic accounting: an exploratory econometric and machine-learning study of Palestinian banks

Algorithmic advances in smart TV content recommendation: a structured evidence-mapping review

An empirical test of antecedents and perceived performance of big data analytics in telecommunication companies

The Cognitive City Cybersecurity Readiness Index (C3RI): An Evidence-Based Model for AI-Driven Urban Infrastructure

Data-driven adaptive hybrid models for exchange rate return forecasting

IOTTRUST: graph-based anomaly detection for IoT intrusion using network flow topology and community structure analysis on UNSW-NB15

Editorial: Smart forecasting: deep learning and explainable AI for real-world time series prediction

Fine-tuning multilingual sentence transformers for low-resource skill-concept matching across Kazakh, Russian, and English

A comparative study of DistilBERT and Perceiver for deceptive review detection in hospitality review data

Controlled knowledge updating in memory-enabled AI agents: beyond model editing and recall

AI-driven cybersecurity for industrial internet of things: architectures, challenges, datasets, and future research directions

Reconstruction-aware urban crime analytics from incomplete judicial records using heterogeneous graph temporal imputation

HK-DeepIV: heat-kernel geometric diagnostics and early-warning signals for curvature-induced interference in financial correlation networks

Machine-Assisted Adaptive Feedback Consensus Method for Large-Scale Group Decision Making Based on Reinforcement Learning

HyperIDS: a hypergraph learning and quantum-inspired transformer ensemble framework for IoT intrusion detection

GICPIdb: an archival repository of multimodal data focusing on pathological images for gastrointestinal cancers

Evaluating the Reach and Equity of Public Spaces in Mexico City Using Mobility Data: The Case of the Utopias in Iztapalapa

Study of deep learning cues for cross linguistic part of speech tagging in English– Malayalam code-mixed data

A novel three-parameter Gompertz-Lomax Distribution with a physics-informed survival network: statistical theory, hazard shape characterization, and real-world applications

BRI DataLab: an AI-assisted research platform for Chinese infrastructure finance

Humans as Infrastructure: Is AI Initiated Steganography in Social Media Possible?

Anticipating User Desires: Predicting Software Product Feature Demand through Consumer Behavioral Analytics

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