fasten
发表于 2025-3-21 16:34:12
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ELATE
发表于 2025-3-21 22:14:11
Piotr K. Gwiazdatems typically used for the generation and control of such plasmas. Direct current, radio-frequency, capacitively, and inductively coupled plasmas, as well as microwave and arc plasma systems, are briefly characterized and illustrated.
Alveoli
发表于 2025-3-22 00:29:00
Piotr K. Gwiazdadalities can complement or enhance one another. This paper focuses on merging three modalities, face, text, and speech, for detecting a user’s emotion. To do this and obtain a multimodal emotion recognition system, we use deep-learning techniques. Among these are (a) Convolutional Neural Network (CN
编辑才信任
发表于 2025-3-22 05:23:24
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允许
发表于 2025-3-22 09:34:08
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新娘
发表于 2025-3-22 13:08:50
Piotr K. Gwiazdah of osteoarthritis (OA). We have earlier developed the 3D protocol for imaging of AC and its structures which includes staining of the sample with a contrast agent (phosphotungstic acid, PTA) and a consequent scanning with micro-computed tomography. Such a protocol was designed to provide X-ray att
MAIZE
发表于 2025-3-22 18:23:24
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男学院
发表于 2025-3-22 23:51:02
Piotr K. Gwiazda and external functions: each inner function is associated to one dimension and linearly combined to construct a hash-function that associates every point of a multidimensional space to a value of the real interval . These intermediate values are then associated by external functions to the cor
vector
发表于 2025-3-23 04:37:40
the efficiency of the classifiers the principal component analysis (PCA), referred to as .., the maximum noise fraction (MNF) and more recently the independent component analysis (ICA), referred to as .. are the most commonly used techniques for dimensionality reduction (DR). But, in HSI and in gen
enfeeble
发表于 2025-3-23 07:17:02
Piotr K. GwiazdaN) which is used in our case to detect emotion from both modalities speech and face. Then, we adopt (b) Bidirectional Long Short-Term Memory (Bi-LSTM) for predicting emotions from text information. Our experiments show that our proposed decision fusion method gives a good accuracy of 93% on the three modalities.