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Prediction of bank transaction fraud using TabNet—an adaptive deep learning architecture

B.S. Prashanth, Manoj Kumar, Ariful Hoque, Nasser Al Muraqab et al. • International Review of Economics & Finance (2026)

The development of online banking has brought about an increase in fraudulent operations, which is a major problem for banks. This study delves into the urgent requirement for interpretable, scalable, and top-notch fraud detection systems b...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.iref.2026.104916

Unified Multimodal Information Flows for Immersive and Context-Aware 6G Systems

Rajesh Manoharan, R. V. Siva Balan, G. Govinda Rajulu, Amit Kumar Padhy et al. • IEEE Open Journal of the Communications Society (2026)

Communication is moving from being data-centric to being experience-centric and perception-aware with the advent of 6G wireless networks. Immersive applications such as digital twins, holographic telepresence, extended reality, tactile Inte...

DOAJ Open Access (DOAJ) DOI: 10.1109/OJCOMS.2026.3683716

Precision Microalgae: A New Conceptual Framework for Bioengineering Applications

Darissa Alves Dutra, Richard Luan Silva Machado, Mariany Costa Deprá, Adriane Terezinha Schneider et al. • Bioengineering (2026)

Microalgae are promising platforms for biomass production, carbon capture, biofuels, and high-value bioproducts. However, despite significant advances in cultivation technologies, reactor engineering, and metabolic engineering, industrial i...

DOAJ Open Access (DOAJ) DOI: 10.3390/bioengineering13091011

Insights into the entire building life cycle assessment (LCA): existing trends, challenges and prospective framework

Erikas Lenkevičius, Jolanta Tamošaitienė • Journal of Environmental Engineering and Landscape Management (2026)

Building sustainability assessment increasingly demands life cycle coverage that captures environmental burdens and trade-offs beyond operational energy, including embodied impacts and end of life (EoL) outcomes under circular economy (CE) ...

DOAJ Open Access (DOAJ) DOI: 10.3846/jeelm.2026.27214

SSMSFuse: A Spectral and Spatial Multiscale Coupling Fusion Model for Hyperspectral and Multispectral Image

Siyuan Liu, Yingchao Fan, Qi Hu, Bing Li et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025)

Hyperspectral image (HSI) has more spectral information than conventional images, which helps to distinguish targets in a complex scene more accurately. However, HSI typically has a low spatial resolution, which limits their application sce...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2025.3586076

Explainable artificial intelligence: A survey

Filip Karlo Došilović, Mario Brčić, Nikica Hlupić • International Convention on Information and Communication Technology, Electronics and Microelectronics (2018)

In the last decade, with availability of large datasets and more computing power, machine learning systems have achieved (super)human performance in a wide variety of tasks. Examples of this rapid development can be seen in image recognitio...

OPENALEX DOI: https://doi.org/10.23919/mipro.2018.8400040

Artificial Intelligence for Enhancing Resilience

Nitin Rane, Mallikarjuna Paramesha, Saurabh Choudhary, Jayesh Rane • Journal of Applied Artificial Intelligence (2024)

In an increasingly complex and unpredictable world, resilience-the ability to withstand and recover from adverse conditions is essential across various sectors. This research paper investigates the transformative potential of artificial int...

OPENALEX cc-by DOI: https://doi.org/10.2139/ssrn.4831911

Applications of artificial intelligence in intelligent manufacturing: a review

Bo-hu Li, Baocun Hou, Wentao Yu, Xiaobing Lu et al. • Frontiers of Information Technology & Electronic Engineering (2017)

Based on research into the applications of artificial intelligence (AI) technology in the manufacturing industry in recent years, we analyze the rapid development of core technologies in the new era of ‘Internet plus AI’, which is triggerin...

OPENALEX Open Access DOI: https://doi.org/10.1631/fitee.1601885

Natural Transports-Inspired Differential Semantic Communications: Intelligent Transceivers Carry Just Differences as Meanings

Ali Taimori, Mathini Sellathurai, Tharmalingam Ratnarajah • IEEE Transactions on Machine Learning in Communications and Networking (2026)

Communication is a fundamental process in the nature of interconnected entities. Conventional engineering models of information transmission and reception, namely Shannon’s bit communication and Weaver’s semantic communication...

DOAJ Open Access (DOAJ) DOI: 10.1109/TMLCN.2026.3716920

Directions of application of artificial intelligence in digital marketing communications

O. V. Firsanova, S. V. Brovchak, V. V. Kulebyakin • Ученые записки Российской академии предпринимательства (2023)

The digital transformation of modern economic life has found its reflection in the field of marketing communications, having formed a virtually new form of communication between market entities-digital. A distinctive feature of this form is...

DOAJ Open Access (DOAJ) DOI: 10.24182/2073-6258-2023-22-2-132-139

SEMANTIC URBAN MESH SEGMENTATION BASED ON AERIAL OBLIQUE IMAGES AND POINT CLOUDS USING DEEP LEARNING

Ł. Wilk, Ł. Wilk, D. Mielczarek, W. Ostrowski et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2022)

The use of deep machine learning methods for semantic classification of city mesh models is one of the current trends in geoscience development. Thanks to the thriving development of Convolutional Neural Networks (CNNs) it is now achievable...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-archives-XLIII-B2-2022-485-2022

Prototype-oriented contrastive mean-teacher for unsupervised domain adaptive object detection

Qi Cao, Jianwen Tao, Yufang Dan, Di Zhou • Scientific Reports (2026)

Abstract Unsupervised domain adaptive object detection (UDA-OD) aims to deploy a detector trained on source domain(s) to a new, unlabeled target domain. Carrying out mean-teacher self-training for UDA-OD poses a significant challenge, given...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-44991-7

Economic Evaluations of Artificial Intelligence Implementation in Diabetic Retinopathy Screening

Ahmad Ahmad, Neily Zakiyah, Auliya A. Suwantika • Pharmacology and Clinical Pharmacy Research (2025)

Diabetic retinopathy (DR) is a common complication of diabetes that damages retinal blood vessels and can lead to vision impairment. The application of Artificial Intelligence (AI) in DR screening offers a promising alternative to conventio...

DOAJ Open Access (DOAJ) DOI: 10.15416/pcpr.v9i3.60068

AI-Driven Identification of Critical Dependencies in US-China Technology Supply Chains: Implications for Economic Security Policy

Guoli Rao, Chengru Ju, Zhen Feng • Journal of Advanced Computing Systems (2024)

This research examines the critical dependencies within US-China technology supply chains through advanced artificial intelligence methodologies, addressing significant economic security implications in an era of strategic competition. The ...

DOAJ Open Access (DOAJ) DOI: 10.69987/JACS.2024.41204

Bridging the Education–Employment Gap in Europe: An AI-Driven Approach to Skill Matching

Ramón Sanguino, Nilgün Çağlarırmak Uslu, Pınar Karahan-Dursun, Caner Özdemir et al. • World (2025)

Education–employment mismatch represents a persistent structural issue across Europe, especially among young people. In line with the digital transformation, green transformation and population aging, new jobs are emerging every day, and so...

DOAJ Open Access (DOAJ) DOI: 10.3390/world6040143

Evidence for Dynamical Filtering: High Binary Fraction, Hard-binary Excess, and Unresolved Triples in the Surviving Core of NGC 6791

Huanbin Chi, Zhi Li, Feng Wang, Xuefen Tian et al. • The Astrophysical Journal (2026)

We present a deep photometric analysis of the main-sequence (MS) population in the old, metal-rich open cluster (OC) NGC 6791 using Gaia Data Release 3 data. After correcting for differential reddening, we use the Bayesian model comparison ...

DOAJ Open Access (DOAJ) DOI: 10.3847/1538-4357/ae690f

A web-based artificial intelligence system for label-free virus classification and detection of cytopathic effects

Zeynep Akkutay-Yoldar, Mehmet Türkay Yoldar, Yiğit Burak Akkaş, Sibel Şurak et al. • Scientific Reports (2025)

Abstract Identifying viral replication within cells demands labor-intensive isolation methods, requiring specialized personnel and additional confirmatory tests. To facilitate this process, we developed an AI-powered automated system called...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-89639-0

Artificial intelligence for waste management in smart cities: a review

Bingbing Fang, Jiacheng Yu, Zhonghao Chen, Ahmed Ibrahim Osman et al. • Environmental Chemistry Letters (2023)

The rising amount of waste generated worldwide is inducing issues of pollution, waste management, and recycling, calling for new strategies to improve the waste ecosystem, such as the use of artificial intelligence. Here, we review the appl...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10311-023-01604-3 PMC: 10169138