Reset
Showing 20 of 748 academic articles

A Systematic Review of Deep Learning Approaches for Information Disorder Detection on Social Media: The Context of Misinformation, Disinformation, and Mal-information

Andualem Woldegiorgis, Mohammed Abebe, Durga Prasad Sharma, Worku Jimma • International Journal of Emerging Research in Engineering, Science, and Management (2026)

Social media platforms have become powerful tools for communication, information exchange, networking, and community building. However, their widespread use has facilitated the proliferation of misinformation, disinformation, and mal-inform...

DOAJ Open Access (DOAJ) DOI: 10.58482/ijeresm.v5i2.3

CAFs activated by YAP1 upregulate cancer matrix stiffness to mediate hepatocellular carcinoma progression

Wei Yan, Guo-hui Xiao, Li-juan Wang, Yan Zhou et al. • Journal of Translational Medicine (2025)

Abstract Background The stiffness of the matrix is closely related to the progression of hepatocellular carcinoma (HCC). Although direct targeting of stromal rigidity in HCC remains a clinical challenge, cancer-associated fibroblasts (CAFs)...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12967-025-06325-5

A SCIENTOMETRIC ANALYSIS OF THE EMERGING TOPICS IN GENERAL COMPUTER SCIENCE

Norliza Katuk, Ku Ruhana Ku-Mahamud, Nur Haryani Zakaria, Ayad Mohammed Jabbar • Journal of ICT (2020)

Citations have been an acceptable journal performance metric used by many indexing databases for inclusion and discontinuation of journals in their list. Therefore, editorial teams must maintain their journal performance by increasing artic...

DOAJ Open Access (DOAJ) DOI: 10.32890/jict2020.19.4.6

Practical Recommendations for Supporting a Systems Biology Cyberinfrastructure

Jeremy D. DeBarry, Jessica C. Kissinger, Mustafa V. Nural, Suman B. Pakala et al. • Data Science Journal (2020)

Projects in the life sciences continue to increase in complexity as they scale to answer deeper and more diverse questions. They employ technologies that generate increasingly large ‘omic’ datasets and research teams regularly include exper...

DOAJ Open Access (DOAJ) DOI: 10.5334/dsj-2020-024

Parallelly Running k-Nearest Neighbor Classification Over Semantically Secure Encrypted Data in Outsourced Environments

Jeongsu Park, Dong Hoon Lee • IEEE Access (2020)

Cloud services with powerful resources are popularly used to manage exponentially increasing data and to carry out data mining to analyze the data. However, a data mining involving query can cause privacy problems by disclosing both the dat...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.2984579

Lockdown and Breakdown in Italians' Reactions on Twitter during the First Phase of Covid-19

Giovanni Boccia Artieri, Francesca Greco, Gevisa La Rocca • Partecipazione e Conflitto (2021)

The article focuses on Italians' reactions to the pandemic on Twitter. During the first phase of the 2020 lockdown (from the beginning of March 2020 - to the beginning of May 2020), a real-time dataset was built, linking data scratching to ...

DOAJ Open Access (DOAJ) DOI: 10.1285/i20356609v14i1p261

Artificial intelligence for pediatric height prediction using large-scale longitudinal body composition data

Dohyun Chun, Hae Woon Jung, Jongho Kang, Woo Young Jang et al. • Digital Health (2025)

Objective We developed a precise, reliable artificial intelligence (AI) model for predicting the future height of children and adolescents based on anthropometric and body composition data. Materials and Methods We used an extensive longitu...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076251395975

Exploring the Impact of Time Spent Reading Product Information on E-Commerce Websites: A Machine Learning Approach to Analyze Consumer Behavior

Sabina-Cristiana Necula • Behavioral Sciences (2023)

In this study, we aim to investigate the influence of the time spent reading product information on consumer behavior in e-commerce. Given the rapid growth of e-commerce and the increasing importance of understanding online consumer behavio...

DOAJ Open Access (DOAJ) DOI: 10.3390/bs13060439

Does intellectual capital efficiency matter for banks’ performance and risk-taking behavior?

Changjun Zheng, Md Nazmul Islam, Najmul Hasan, Md. Abdul Halim • Cogent Economics & Finance (2022)

The aim of this study is to investigate whether a bank’s intellectual capital (IC) efficiency impacts its performance and risk-taking behavior in an emerging economic country. The study used panel data (unbalanced) of 30 commercial banks in...

DOAJ Open Access (DOAJ) DOI: 10.1080/23322039.2022.2127484

Improved object detection method for autonomous driving based on DETR

Huaqi Zhao, Songnan Zhang, Xiang Peng, Zhengguang Lu et al. • Frontiers in Neurorobotics (2025)

Object detection is a critical component in the development of autonomous driving technology and has demonstrated significant growth potential. To address the limitations of current techniques, this paper presents an improved object detecti...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnbot.2024.1484276

The Digital Maturity Paradox: The Divergent Impact of Network Readiness and FDI Across Development Tiers

Pahlaj Moolio, Md Jamirul Haque, Kazi Md. Nasir Uddin, Kim Geok Tan et al. • Economies (2026)

Contemporary economic growth trajectories are characterized by accelerating digital integration. However, the digital infrastructure required to accelerate growth remains unevenly distributed across development tiers. This study examines a ...

DOAJ Open Access (DOAJ) DOI: 10.3390/economies14080320

Machine Learning–Based Prediction of Organic Solar Cell Performance Using Molecular Descriptors

Mohammed Saleh Alshaikh • International Journal of Emerging Research in Engineering, Science, and Management (2025)

The performance of Organic Solar Cells (OSCs) is intrinsically linked to the molecular, electronic, and structural properties of donor and acceptor materials. This study employs various machine learning techniques, namely the Generalized Re...

DOAJ Open Access (DOAJ) DOI: 10.58482/ijeresm.v4i4.4

Hierarchical ordered logistic regression analysis of urban rail transit driver fatigue determinants: impact of emotion regulation and sleep patterns

Juanli Du, Zhiqiang Sun, Chaozhe Jiang • Scientific Reports (2026)

Abstract Urban rail transit (URT) drivers play a crucial role in ensuring operational safety; however, existing literature lacks in-depth research on the underlying mechanisms influencing driver fatigue in URT systems. To fill this gap, thi...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-44865-y

Algae-Mamba: A Spatially Variable Mamba for Algae Extraction From Remote Sensing Images

Yaoteng Zhang, Shuaipeng Wang, Yanlong Chen, Shiqing Wei et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025)

To maintain marine ecosystem health, effective algae monitoring is essential. Traditional threshold-based methods and standard machine learning techniques often fall short in accurately and automatically distinguishing algae types. This stu...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2025.3571988

ProtoMix: Unified Prototype Learning for Semantic Change Detection in Remote Sensing

Hengzhi Chen, Kun Hu, Patrick Filippi, Wei Xiang et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2026)

As an emerging topic, semantic change detection (SCD) in remote sensing aims to both identify the locations of changes before and after events and determine the land cover (LC) classes of changed regions. While deep learning has demonstrate...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2026.3715175