crumble
发表于 2025-3-23 11:38:06
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Implicit
发表于 2025-3-23 17:54:57
A Multi-layered Deep Learning Approach for Human Stress Detection, mental stress at an earlier stage can prevent many associated health problems. There are significant changes in the multiple bio-signals, such as electrical, thermal, optical, etc., when an individual is under stress. Such bio-signals can be utilized to identify stress. In this paper, we propose a
放弃
发表于 2025-3-23 20:38:10
Digital Processing Algorithms of Biomedical Signals Using Cubic Base Splines,cation of 21 sensors in the EEG apparatus along the brain, the naming of the sensors, their connection types, the use of bipolar coupling in the detection of disease symptoms, interpolation of received signals, disease symptoms. The processes of separating parts into scales have been studied. During
纯朴
发表于 2025-3-23 22:11:42
Methods for Creating a Morphological Analyzer,e translation systems, and electronic dictionaries. This article describes the stages of a text analyzer, methods for creating a morphological analyzer and a morphological generator. Ways to use the NLTK package tools in Python when creating a morphological analyzer, examples of software codes are g
卧虎藏龙
发表于 2025-3-24 02:54:37
Uzbek Speech Synthesis Using Deep Learning Algorithms,thods for the Uzbek language was relevant, due to the lack of research in this direction. The paper presents a method consisting of the acoustic model Tacotron and the neural vocoder parallel waveGAN. The formed speech corpus with the volume of 31 h of Uzbek speech is described. The quality of the s
可以任性
发表于 2025-3-24 08:53:34
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boisterous
发表于 2025-3-24 12:12:29
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万神殿
发表于 2025-3-24 16:09:23
,Emotion Recognition in VAD Space During Emotional Events Using CNN-GRU Hybrid Model on EEG Signals,n different combinations of valence(V), arousal(A) and dominance(D) dimensions and compared their results. DENS data is used for this purpose which is primarily recorded on the Indian population. STFT is used for feature extraction and used in the classification model consisting of CNN-GRU hybrid la
BOON
发表于 2025-3-24 22:28:56
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Negligible
发表于 2025-3-25 01:56:02
A Higher Performing DARTS Model for CIFAR-10,. Differentiable Architecture Search (DARTS) is an algorithm that solves a Neural Architecture Search problem using a gradient-based approach. We found an architecture that shows higher test accuracy than the existing DARTS architecture with the DARTS algorithm on the CIFAR-10 dataset. The architect