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Academic Articles & Research Papers
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Renjie Wang, Wei Dong Pan, Lei Jin, Yuehan Li et al. • Reproduction
(2019)
Artificial intelligence (AI) has experienced rapid growth over the past few years, moving from the experimental to the implementation phase in various fields, including medicine. Advances in learning algorithms and theories, the availabilit...
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DOI: https://doi.org/10.1530/rep-18-0523
PMC: 6733338
Heather Marriott, Renata Kabiljo, Guy P Hunt, Ahmad Al Khleifat et al. • Acta Neuropathologica Communications
(2023)
Abstract Amyotrophic lateral sclerosis (ALS) displays considerable clinical and genetic heterogeneity. Machine learning approaches have previously been utilised for patient stratification in ALS as they can disentangle complex disease lands...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s40478-023-01686-8
Muhammad Aamir, Ziaur Rahman, Uzair Aslam Bhatti, Waheed Ahmed Abro et al. • Scientific Reports
(2025)
Abstract The precise and timely diagnosis of brain tumors is essential for accelerating patient recovery and preserving lives. Brain tumors exhibit a variety of sizes, shapes, and visual characteristics, requiring individualized treatment s...
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Open Access (DOAJ)
DOI: 10.1038/s41598-025-02209-2
Zachi Itzhak Attia, David Harmon, Elijah Raphael Behr, Paul A. Friedman • European Heart Journal
(2021)
Artificial intelligence (AI) has given the electrocardiogram (ECG) and clinicians reading them super-human diagnostic abilities. Trained without hard-coded rules by finding often subclinical patterns in huge datasets, AI transforms the ECG,...
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Open Access
DOI: https://doi.org/10.1093/eurheartj/ehab649
PMC: 8500024
Ran Zhang, Xiaoping Wu, Xude Zhang, Li Xu • IEEE Access
(2025)
With the rapid development of information technology, personalized education has become a key direction for improving the quality of online learning and optimizing individualized learning paths. However, accurately recommending appropriate ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3576878
Vo Phuc Tinh, Hoang Hai Son, Nguyen Hoang Nam, Duc Ngoc Minh Dang et al. • IEEE Access
(2024)
In the large-scale deployment of federated learning (FL) systems, the heterogeneity of clients, such as mobile phones and Internet of Things (IoT) devices with different configurations, constitutes a significant problem regarding fairness, ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3475737
Yu Wang • Discover Artificial Intelligence
(2026)
Abstract Adaptive digital therapies are needed with increasing rates of youth anxiety. However, existing systems lack personalization and dynamic learning. To solve this, the proposed research is to build a personalized ideological content ...
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Open Access (DOAJ)
DOI: 10.1007/s44163-026-01840-w
Sathya P, Gnanasekaran P • Applied Artificial Intelligence
(2023)
Crop yield forecasting has been well studied in recent decades and is significant in protecting food security. Crop growth is a complex phenomenon that depends on various factors. Machine learning and deep learning trends have emerged as im...
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Open Access (DOAJ)
DOI: 10.1080/08839514.2023.2175113
Urslla Uchechi Izuazu, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae Min Lee • Discover Internet of Things
(2025)
Abstract Deep learning-based intrusion detection systems (DL-IDS) have proven effective in detecting cyber threats. However, their vulnerability to adversarial attacks and environmental noise, particularly in industrial settings, limits pra...
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Open Access (DOAJ)
DOI: 10.1007/s43926-025-00100-0
Iain Cockburn, Rebecca M. Henderson, Scott Stern • National Bureau of Economic Research
(2018)
Artificial intelligence may greatly increase the efficiency of the existing economy.But it may have an even larger impact by serving as a new general-purpose "method of invention" that can reshape the nature of the innovation process and th...
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public-domain
DOI: https://doi.org/10.3386/w24449
Sadettin Y. Ugurlu, David McDonald, Huangshu Lei, Alan M. Jones et al. • Journal of Cheminformatics
(2024)
Abstract Probing the surface of proteins to predict the binding site and binding affinity for a given small molecule is a critical but challenging task in drug discovery. Blind docking addresses this issue by performing docking on binding r...
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Open Access (DOAJ)
DOI: 10.1186/s13321-023-00793-x
Abhiraam Eranti, Yogesh Tewari, Rafael Palacios, Amar Gupta • IEEE Access
(2026)
Deep-learning methods have boosted the analytical power of Raman spectroscopy, yet they still require large, task-specific, labeled datasets and often fail to transfer across application domains. The study explores pre-trained encoders as a...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3672109
Eleftherios Fyntikakis, Spyridon Plakias, Themistoklis Tsatalas, Minas A. Mina et al. • Applied Sciences
(2026)
Background: Strength training (ST) is essential for enhancing athletic performance and reducing injury risk, yet traditional monitoring relies heavily on subjective assessment, limiting objective and individualized evaluation. Objective: Th...
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Open Access (DOAJ)
DOI: 10.3390/app16073565
Shiyun Li, Omar Dib • Journal of Theoretical and Applied Electronic Commerce Research
(2024)
The rapid expansion of the internet has led to a corresponding surge in malicious online activities, posing significant threats to users and organizations. Cybercriminals exploit malicious uniform resource locators (URLs) to disseminate har...
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Open Access (DOAJ)
DOI: 10.3390/jtaer19040141
Mingkun Li, Peng Xu • CAAI Artificial Intelligence Research
(2026)
This paper addresses a highly challenging yet critical task: unsupervised person re-identification (Re-ID) under clothing changes. Unfortunately, existing unsupervised person Re-ID methods are mainly designed for short-term scenarios that r...
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Open Access (DOAJ)
DOI: 10.26599/AIR.2025.9150050
Hideyuki Shimizu, Keiichi I. Nakayama • Cancer Science
(2020)
Artificial intelligence (AI) has contributed substantially to the resolution of a variety of biomedical problems, including cancer, over the past decade. Deep learning, a subfield of AI that is highly flexible and supports automatic feature...
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cc-by-nc
DOI: https://doi.org/10.1111/cas.14377
PMC: 7226189
Ursula Margarethe Schmidt-Erfurth, Amir Sadeghipour, Bianca S. Gerendas, Sebastian M. Waldstein et al. • Progress in Retinal and Eye Research
(2018)
Major advances in diagnostic technologies are offering unprecedented insight into the condition of the retina and beyond ocular disease. Digital images providing millions of morphological datasets can fast and non-invasively be analyzed in ...
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DOI: https://doi.org/10.1016/j.preteyeres.2018.07.004
Doi Thi Lan, Quan T. Ngo, Luong Vuong Nguyen, O-Joun Lee • Scientific Reports
(2026)
Abstract In cognitive radio (CR) systems, the accurate detection of spectrum holes is a cornerstone for efficient spectrum utilization. However, the increasing complexity of CR environments, particularly those with multiple primary users (P...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-36031-1
Jiyoung Seo, Dong In Lee, Pilhyeon Lee, Jiwoo Lee et al. • IEEE Access
(2026)
Recognizing tool-based hand activities from a first-person view is a critical yet challenging task in computer vision, due to the complexity of hand-object interactions and often subtle, ambiguous motion patterns. In real-world manufacturin...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3652803
Tala Talaei Khoei, Naima Kaabouch • Information
(2023)
Intrusion Detection Systems are expected to detect and prevent malicious activities in a network, such as a smart grid. However, they are the main systems targeted by cyber-attacks. A number of approaches have been proposed to classify and ...
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Open Access (DOAJ)
DOI: 10.3390/info14020103