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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

Spatial layout optimization model integrating layered attention mechanism in the development of smart tourism management

Jie Ding, Lingyan Weng, Lili Fan, Peixue Liu • PeerJ Computer Science (2024)

Tourism demand projection is paramount for both corporate operations and destination management, facilitating tourists in crafting bespoke, multifaceted itineraries and enriching their vacation experiences. This study proposes a multi-layer...

DOAJ Open Access (DOAJ) DOI: 10.7717/peerj-cs.2329

Transportation Engineering

Mohammad Heidarzadeh, Theodosios K. Papathanasiou, Yurui Fan, Hamid Bahai • Oxford University Press eBooks (2025)

Abstract Transportation engineering is a multidisciplinary subject within civil engineering involving the planning, design, operation, and maintenance of transportation systems and associated infrastructure such as highways, roads, and rail...

OPENALEX DOI: https://doi.org/10.1093/9780191888656.003.0006

Searching for galaxy cluster-scale strong lenses from the DESI legacy imaging surveys

Zhejian Zhang, Nan Li, Shude Mao, Hu Zou et al. • Frontiers in Astronomy and Space Sciences (2026)

IntroductionGalaxy cluster-scale strong gravitational lensing systems are rare yet valuable tools for investigating dark matter and dark energy, as well as providing the opportunity to study the distant universe at flux levels and spatial r...

DOAJ Open Access (DOAJ) DOI: 10.3389/fspas.2026.1744079

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

IceRegionShip: Optical Remote Sensing Dataset for Ship Detection in Ice-Infested Waters

Peilin Wang, Bingxin Liu, Ying Li, Peng Chen et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024)

As shipping routes and resource exploration move toward high-latitude oceans, sea ice becomes a major threat to the safety of ship navigation, posing significant challenges to the shipping industry and offshore resource development. Continu...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2023.3335294

A Framework to Estimate the Nutritional Value of Food in Real Time Using Deep Learning Techniques

Raza Yunus, Omar Arif, Hammad Afzal, Muhammad Faisal Amjad et al. • IEEE Access (2019)

There has been a rapid increase in dietary ailments during the last few decades, caused by unhealthy food routine. Mobile-based dietary assessment systems that can record real-time images of the meal and analyze it for nutritional content c...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2018.2879117

A Coarse-to-Fine Approach for Rectifying Distorted Latent Fingerprints From Crime Scenes

Qing Bao, Ya-Gang Wang, Chang Gao, Liangxiao Sha et al. • IEEE Access (2023)

With the widely used fingerprints to identify criminals, the influence of fingerprint deformation arouses attention in forensic science. To date, many approaches have been proposed to rectify distorted fingerprints. However, the performance...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3344465

TRANSFER LEARNING: INCEPTION-V3 BASED CUSTOM CLASSIFICATION APPROACH FOR FOOD IMAGES

Vishwanath C Burkapalli, Priyadarshini C Patil • ICTACT Journal on Image and Video Processing (2020)

Deep-learning approach has become more popular in the field of image processing. When it is concerned with health issues, there are lots of improvements in the applications of food image classification by deep learning methods. Transfer lea...

DOAJ Open Access (DOAJ) DOI: 10.21917/ijivp.2020.0321

ACHENY: A standard Chenopodiaceae image dataset for deep learning models

Ahmad Heidary-Sharifabad, Mohsen Sardari Zarchi, Sima Emadi, Gholamreza Zarei • Data in Brief (2021)

This paper contains datasets related to the “Efficient Deep Learning Models for Categorizing Chenopodiaceae in the wild” (Heidary-Sharifabad et al., 2021). There are about 1500 species of Chenopodiaceae that are spread worldwide and often a...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2021.107478

Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support

Tongtong Huo, Wei Wu, Xiaoliang Chen, Mingdi Xue et al. • Intelligent Oncology (2025)

Bone tumors (BTs)—including osteosarcoma, Ewing sarcoma, and chondrosarcoma—are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location, histological subtype, and molecular alterations. Re...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.intonc.2025.06.005

Deep learning prediction of pathological complete response in breast cancer using Mamba architecture

Wenchuan Zhang, Shuwan Zhang, Fengling Li, Yuanyuan Zhao et al. • npj Digital Medicine (2026)

Abstract Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemotherapy (NAC) in breast cancer. However, current methods predominantly rely on convolutional neural networks or transformer architectur...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-026-02849-2

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications (2024)

Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s00521-023-09366-3

Medical Informatics as a Concept and Field-Based Medical Informatics Research: The Case of Turkey

Muhammet Damar, Tuncay Küme, İbrahim Yüksel, Ali Emre Çetinkol et al. • Düzce Tıp Fakültesi Dergisi (2024)

Aim: This study aimed to evaluate the position of Turkey in the field of Medical Informatics and assess the general structure of research by analyzing Medical Informatics research with bibliometric methods. Material and Methods: In this stu...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.18678/dtfd.1410276

Software Engineering in Medical Informatics

Gonca Gökçe Menekşe Dalveren, Deepti Mishra • International Conference on Information Communication and Management (ICICM) (2019)

This study presents a systematic literature review to provide overall view of the application of Software Engineering (SE) in Medical Informatics (MI) field. Articles published from 2010 to 2019 from seven selected databases (Emerald, PubMe...

OPENALEX DOI: https://doi.org/10.1145/3357419.3357444

A Deep Learning Harmonization of Multi-Vendor MRI for Robust Intervertebral Disc Segmentation

Chaewoo Kim, Sang-Min Park, Sanghoon Lee, Deukhee Lee • IEEE Access (2024)

Magnetic resonance imaging (MRI) provides enhanced soft tissue contrast and high spatial resolution. However, the relationship between intensity values among soft tissues in MRI is inconsistent, even when obtained under the same conditions ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3360272

Is a Cambrian Explosion Coming for Robotics?

Gill A. Pratt • The Journal of Economic Perspectives (2015)

About half a billion years ago, life on earth experienced a short period of very rapid diversification called the “Cambrian Explosion.” Many theories have been proposed for the cause of the Cambrian Explosion, one of the most provocative be...

OPENALEX DOI: https://doi.org/10.1257/jep.29.3.51

Fast‐Tracker 2.0: Improving autonomy of aerial tracking with active vision and human location regression

Neng Pan, Ruibin Zhang, Tiankai Yang, Can Cui et al. • IET Cyber-systems and Robotics (2021)

Abstract In recent years, several progressive studies promote the development of aerial tracking. One of the representative studies is our previous work Fast‐Tracker which is applicable to various challenging tracking scenarios. However, it...

DOAJ Open Access (DOAJ) DOI: 10.1049/csy2.12033