Results 51 to 60 of about 27,774 (271)
An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang +10 more
wiley +1 more source
Scientific production of the International Classification for Nursing Practice: a bibliometric study
Objective: To describe the scientific production of the International Classification for Nursing Practice throughout dissertations and theses published by nurses in Brazil from 1996 to 2016.
Patrícia Josefa Fernandes Beserra +4 more
doaj +1 more source
The article substantiates the conditionality of the quality of education regarding innovations that are caused by changes in the sociocultural space and the reform of education, which actualizes its prognostic and innovative character. The purpose of the
Rebrova Olena
doaj +1 more source
Perceptions of innovations: exploring and developing innovation classification [PDF]
The capacity to innovate is commonly regarded as a key response mechanism, a critical organisational competence for success, even survival, for organisations operating in turbulent conditions.
Adams, Richard
core
General fuzzy min-max neural network for clustering and classification
This paper describes a general fuzzy min-max (GFMM) neural network which is a generalization and extension of the fuzzy min-max clustering and classification algorithms of Simpson (1992, 1993).
Gabrys, Bogdan, Bargiela, Andrzej
core +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Classification techniques for hyperspectral remote sensing [PDF]
This study concerns with classification techniques in high dimensional space such as that of Hyperspectral Imaging (HSI) data sets, with objectives of understanding the strength and weakness of various classifiers and at the same time to study how ...
Kam, Firmin
core
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
This article is a result of the analysis of metaphorization process and actualization of the TIME concept in the English literature texts. The analysis has been made from different perspectives such as: historical, lexical and semantic.
Olexandr Liulka
doaj +1 more source

