Deep learning in neural networks: An overview
https://doi.org/10.1016/j.neunet.2014.09.003
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https://doi.org/10.1016/j.neunet.2014.09.003
https://doi.org/10.1038/s41591-021-01343-4
https://doi.org/10.1038/s42256-020-00273-z
https://doi.org/10.1007/s13042-020-01096-5
10.1016/j.psj.2026.108033
PMC: PMC13735247
10.1016/j.jphyss.2026.100114
PMC: PMC13737402
10.1371/journal.ppat.1014760
PMC: PMC13739227
10.1016/j.actbio.2026.10.066
PMC: PMC13737484
10.1136/bmjopen-2026-119942
PMC: PMC13735370
10.1136/bmjopen-2026-121939
PMC: PMC13735324
10.1021/acs.biochem.6c00409
PMC: PMC13738788
IntroductionKidney-related disorders are one of the global health concerns that require timely detection to prevent severe health complications. The use of computed tomography (CT) images for accurate classification of kidney diseases is im...
10.3389/fmed.2026.1893419
Satellite edge computing faces a trade-off between privacy protection and system overhead, strict task-dependency constraints, and the limited ability of conventional algorithms to capture complex dependency topologies in digital twin task ...
With the vigorous development of space communication technology and the continuous advancement of space-integrated-ground information network, satellite communication networks resource management and control is becoming more and more comple...
Legal judgement prediction (LJP) is a crucial part of legal AI, and its goal is to predict the outcome of a case based on the information in the description of criminal facts. This paper proposes a decision prediction method based on causal...
10.3390/math10132281
Since the introduction of just-in-time effort aware defect prediction, many researchers are focusing on evaluating the different learning methods, which can predict the defect inducing changes in a software product. In order to predict thes...
10.3390/fi11120246
Deep learning (DL) has recently been a core ingredient in modern computer vision tasks, triggering a wave of revolutions in various fields. The hyperspectral image (HSI) classification task is no exception. A wide range of DL-based methods ...
10.3390/rs14174235
Summary: Background: Tissues such as the liver lobule, kidney nephron, and intestinal gland exhibit intricate patterns of zonated gene expression corresponding to distinct cell types and functions. To quantitatively understand zonation, it...
10.1016/j.ebiom.2023.104698
To achieve the anticipated performance of massive multiple input multiple output (MIMO) systems in wireless communication, it is imperative that the user equipment (UE) accurately feeds the channel state information (CSI) back to the base s...
10.3390/app14041356
Purpose: To apply methods for quantifying uncertainty of deep learning segmentation of geographic atrophy (GA). Design: Retrospective analysis of OCT images and model comparison. Participants: One hundred twenty-six eyes from 87 participant...
10.1016/j.xops.2024.100587