Jingoism
发表于 2025-3-28 16:15:07
https://doi.org/10.1007/978-1-908517-79-1oduction. Nowadays, a lot of technologies are developed for agricultural applications, and the majority of them are used to classify and assess the maturity of fruits. Measuring the fruit’s maturity level is essential to obtaining fruit of the highest quality and a crucial step in guaranteeing fruit
Sputum
发表于 2025-3-28 20:07:06
Comorbid Symptoms, Syndromes, and Disorders,ion of birds based solely on their auditory characteristics. Birds share all the characteristics of an animal because they share a common ancestor with all other animals on the planet. Birds are considered animals. Birds are vertebrate animals, improving classification accuracy and making sure it ca
Cerumen
发表于 2025-3-28 23:53:08
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某人
发表于 2025-3-29 05:30:31
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Boycott
发表于 2025-3-29 09:35:34
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名次后缀
发表于 2025-3-29 12:36:47
W. Barth,R. S. Martin,J. H. Wilkinsoneffects brought on by drug-drug interactions (DDIs). The evaluation of pharmacological interactions, pharmacodynamics, and probable adverse effects using artificial intelligence (AI) is a possibility. Many AI-based DDI prediction methods, including both machine learning and deep learning, that make
改革运动
发表于 2025-3-29 18:30:11
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foppish
发表于 2025-3-29 20:16:30
Handbook for Automatic Computationion can be challenging. Therefore, many computational methods proposed to predict drug interactions that can be used before clinical experiments and reduce the risk of adverse effects during treatment. in this paper, we proposed a deep artificial neural network regression (DANNR) model that can meas
exacerbate
发表于 2025-3-30 00:57:50
https://doi.org/10.1007/978-3-642-86937-2roposed model consists of three main stages: data pre-processing, feature selection, and finally different classifiers. During the pre-processing phase, missing values are addressed and the data is normalised. Subsequently, three different techniques are employed to select the most crucial features:
惊惶
发表于 2025-3-30 07:19:45
A. A. Grau,U. Hill,H. Langmaack cell lines. Cancer cell lines features vector may exceed 50,000. Such high-dimensional data is unsuitable for learning modeling approaches. To address this challenge, a range of dimension reduction techniques are employed, including feature selection methods, autoencoders, and the LINCS project. Th