Trends in Cybersecurity: A Comprehensive Bibliometric Review
https://doi.org/10.1007/978-3-031-77925-1_22
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https://doi.org/10.1007/978-3-031-77925-1_22
BACKGROUND: Owing to the adverse effects of unilateral neglect (UN) on rehabilitation outcomes, fall risk, and activities of daily living, this field has gradually got considerable interest. Notwithstanding, there is presently an absence of...
10.4103/bc.bc_72_23
10.12688/f1000research.184973.1
PMC: PMC13736066
Applications of deep learning (DL) in autonomous vehicle (AV) projects have gained increasing interest from both researchers and companies. This has caused a rapid expansion of scientific production on DL-AV in recent years, encouraging res...
10.3390/make5030041
Background: The global use of herbal medicines and research on plant bioactive compounds have steadily increased. In Chile, this growth is linked to ethnobotanical knowledge and advances in phytochemistry, although gaps persist in its evolu...
10.3390/plants15142135
Background: Fibrosis is a heavy burden on the global healthcare system. Recently, an increasing number of studies have demonstrated that Extracellular vesicles play an important role in intercellular communication under both physiological a...
10.1016/j.heliyon.2024.e24357
BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great sig...
https://doi.org/10.1186/s12911-018-0594-x
PMC: 5872501
10.21037/cdt-2026-0214
PMC: PMC13735874
10.1016/j.ibneur.2026.10.007
PMC: PMC13734824
BackgroundNatural language processing (NLP) is an important traditional field in computer science, but its application in medical research has faced many challenges. With the extensive digitalization of medical information globally and incr...
10.2196/16816
Abstract This review aims to explore the growing impact of machine learning and deep learning algorithms in the medical field, with a specific focus on the critical issues of explainability and interpretability associated with black-box alg...
10.1007/s44163-024-00114-7
Agri-food processing generates large volumes of by-products that remain insufficiently exploited despite their content of phenolic compounds, peptides, polysaccharides, carotenoids, dietary fibres and other functional constituents. These si...
10.1016/j.afres.2026.102511
IntroductionBibliometric analysis is widely acknowledged as a robust and systematic approach for examining extensive scholarly literature. It serves as a vital tool for mapping the landscape of contemporary research across various academic ...
10.22108/jas.2025.144379.2609
10.3389/fonc.2026.1971840
PMC: PMC13730961
10.1007/s44192-026-00563-9
PMC: PMC13737357
The role of physicians has always been to synthesize the data available to them to identify diagnostic patterns that guide treatment and follow response. Today, increasingly sophisticated machine learning algorithms may grow to support clin...
https://doi.org/10.1016/j.jacc.2020.11.030
PMC: 7839163
Abstract The rapid development of Artificial Intelligence (AI) has had a profound impact on higher education (HE), fundamentally changing teaching, learning, research and academic management. Although there have been many studies on the app...
10.1007/s43621-025-02162-0
Abstract This study provides a broad bibliometric analysis of Industry 4.0 as well as technology-based production systems within the appropriate scientific literature to target the description of the dynamic structure, intellectual foundati...
10.1007/s43621-026-03275-w
With various emerging technologies and integration possibilities, smart facility management has gained wide interest in recent years. Several technologies were introduced to support facilities management and improve decision-making, such as...
10.3390/buildings13061488
10.1007/s00402-026-06562-3
PMC: PMC13736322