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Titlebook: Deep Learning and Other Soft Computing Techniques; Biomedical and Relat Nguyen Hoang Phuong,Vladik Kreinovich Book 2023 The Editor(s) (if a

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51#
發(fā)表于 2025-3-30 08:41:39 | 只看該作者
Semantic Integration and Interoperability analysis shows that in vivo, there are small liquid-filled gaps between the cells, and these gaps are important: e.g., in abnormal situations, when the size of the gaps between brain cells decreases, this leads to severe headaches and other undesired effects. At present, there is no universally acc
52#
發(fā)表于 2025-3-30 16:02:31 | 只看該作者
Kassandra Infante,Marianela Riveranal processing. When experiments for determining the drug and disease association usually require intensive investment and time, the new method of drug repositioning could assist in cutting-off cost and minimizing risk of failure. In contrast to the conventional implementation, the data in this prob
53#
發(fā)表于 2025-3-30 20:36:13 | 只看該作者
Kassandra Infante,Marianela Rivera sites in the adenosine nucleobase, N1-methyladenosine (1mA) is a significant post-transcriptional alteration found in myriad types of RNA molecules. The alteration of gene sequences caused by this methylation affects numerous biological processes, such as genome editing, cellular differentiation, a
54#
發(fā)表于 2025-3-31 00:31:56 | 只看該作者
https://doi.org/10.1007/978-1-4842-6287-0ormula describing how the reaction to a similar stimulus depends on the distance between the new and original stimuli. In this paper, we provide a from-first-principles explanation for this empirical formula.
55#
發(fā)表于 2025-3-31 04:38:45 | 只看該作者
Enabling Emergent Workplace Design,it is necessary to understand the logic behind its evolution so far. At first glance, this evolution looks random and thus, difficult to predict. However, we show that already a simple game-theoretic model can actually explain—on the qualitative level—how this virus mutated so far.
56#
發(fā)表于 2025-3-31 05:03:38 | 只看該作者
57#
發(fā)表于 2025-3-31 13:11:48 | 只看該作者
Simulating Droplet Microfluidic Networksncluding face recognition, handwritten character identification, image classification, object detection, and object segmentation on images. These systems are based on computer self-learning algorithms that use deep learning. Furthermore, deep learning algorithms offer to open up a promising research
58#
發(fā)表于 2025-3-31 15:22:09 | 只看該作者
Dimensioning Droplet Microfluidic Networksntroduces a smart system, namely ‘SEcurity GIrl’ (SEGI), which is integrated into a woman’s bra. The device uses impact and acceleration sensors to recognize sexual harassment behaviors and send warnings via communication techniques to the victim’s relatives for support. It can assist in alerting re
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