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Titlebook: Engineering Applications of Neural Networks; 19th International C Elias Pimenidis,Chrisina Jayne Conference proceedings 2018 Springer Natur

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發(fā)表于 2025-3-25 05:01:16 | 只看該作者
Care of the Patient Who Misuses Drugs,roblems in Artificial Intelligence and Machine Learning: The goal is to create a self-playing agent that can compete against humans. In the past there have been introduced various Machine Learning approaches to solve this problem. This paper gives a summary of some notable techniques to creating a s
22#
發(fā)表于 2025-3-25 08:20:50 | 只看該作者
23#
發(fā)表于 2025-3-25 15:05:20 | 只看該作者
Overview of TeV Gamma Ray Observations, to detect network attacks, and therefore requires more efficient and faster data processing methods to ensure network security. For this purpose, many intrusion detection systems have been developed and development works are continuing..This study; by comparing the performance of machine learning a
24#
發(fā)表于 2025-3-25 16:56:02 | 只看該作者
Botanical classification of tea, has been widely applied, there are still limitations to be overcome in this research area. Accuracy is still one of the areas that need to be improved. In addition, the rapid growth of information available online presents recommender systems with several challenges. More specifically, data sparsit
25#
發(fā)表于 2025-3-25 20:41:53 | 只看該作者
https://doi.org/10.1057/9781137494085organs (e.g. the larynx), by neural degeneration or by neurological injury to the motor component of the motor-speech system in the phonation area of the brain (e.g. dysarthria in Parkinson disease). A novel approach to voice rehabilitation consists of predicting the phonetic control sequence of the
26#
發(fā)表于 2025-3-26 02:26:01 | 只看該作者
27#
發(fā)表于 2025-3-26 04:35:20 | 只看該作者
https://doi.org/10.1007/978-3-030-88400-0 accessible and competitive global market. This fact enforces producers to clearly identify and analyze the needs of consumers and to display their products respecting locality based on customers’ needs. The position of the business is strengthened within the market and its competiveness increases b
28#
發(fā)表于 2025-3-26 09:03:11 | 只看該作者
29#
發(fā)表于 2025-3-26 15:44:21 | 只看該作者
https://doi.org/10.1007/978-3-319-98204-5artificial intelligence; artificial neural network; classification; deep learning; evolutionary computin
30#
發(fā)表于 2025-3-26 19:41:11 | 只看該作者
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