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Titlebook: Applied Computing to Support Industry: Innovation and Technology; First International Mohammed I. Khalaf,Dhiya Al-Jumeily,Alexei Lisitsa C

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41#
發(fā)表于 2025-3-28 17:55:00 | 只看該作者
Applied Computing to Support Industry: Innovation and TechnologyFirst International
42#
發(fā)表于 2025-3-28 19:43:10 | 只看該作者
Mohammed I. Khalaf,Dhiya Al-Jumeily,Alexei Lisitsa
43#
發(fā)表于 2025-3-29 01:16:42 | 只看該作者
44#
發(fā)表于 2025-3-29 03:41:51 | 只看該作者
https://doi.org/10.1007/978-3-030-79363-0erimental result has shown that deep learning is superior compare to logistic regression with 72% accuracy of identification of an infected leaf. Of course, this result can be augmented further by involving the extra of the leaf. Overall, the Smart Farming framework is able to give a better solution
45#
發(fā)表于 2025-3-29 10:21:15 | 只看該作者
Engineering Open-Source Medical Devicest Analysis Conference (TAC-2011) for English documents. The performance of the proposed model is evaluated using the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metric. The obtained results support the effectiveness of the proposed model.
46#
發(fā)表于 2025-3-29 13:07:42 | 只看該作者
Practical Examples of Diffraction Theory, are then investigated to mitigate such detrimental effects. The first uses matched train/test speaker models based on estimated reverberation time (RT) values. The second utilizes two-condition training where clean and reverberant models are used. Lastly, a four-condition training setup is proposed
47#
發(fā)表于 2025-3-29 17:05:03 | 只看該作者
https://doi.org/10.1007/978-0-387-75724-7us contains 4520 words and 40 sentences from 12 male and 9 female of 18–30 age groups for recognition domain. To achieve a high quality of speech corpus, the recording took place in 10 by 10 office room without a noisy sound environment. The speech utterances were recorded in 16?kHz in three recordi
48#
發(fā)表于 2025-3-29 21:09:24 | 只看該作者
49#
發(fā)表于 2025-3-30 02:40:04 | 只看該作者
50#
發(fā)表于 2025-3-30 06:19:18 | 只看該作者
Mathematics Used for Expressing Waves,his paper is proposing a new method for Multi-view face detection in cattle with accuracy enhancement by using three classifiers and temperature thresholding. Classifiers are established by using Histogram Oriented Gradient (HOG) as features and Support vector machine (SVM) for classification. The r
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