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Titlebook: Machine Learning and the Internet of Things in Education; Models and Applicati John Bush Idoko,Rahib Abiyev Book 2023 The Editor(s) (if app

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發(fā)表于 2025-3-23 10:41:36 | 只看該作者
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發(fā)表于 2025-3-23 16:32:44 | 只看該作者
Idoko John Bush,Rahib Abiyevof special examples instead of existence theorems (D. Larson‘s theorem, Ringrose‘s hypothesis, the Kadison-Singer and Gohberg-Krein questions). We also investigate the Bezoutiant operator. In this context, we do not make the assumption that the Bezoutiant operator is normally solvable, allowing us t
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發(fā)表于 2025-3-23 18:59:18 | 只看該作者
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發(fā)表于 2025-3-23 23:31:43 | 只看該作者
John Bush Idoko,Joseph Palmerristian Skrede Gleditsch,? Nils B Weidmann, Jürgen Scheffran, Niall MacKay, Aaron Clauset, Michael Spagat and Stijn van Weezel..Lewis F Richardson occupied an important position in two academic fields as different as meteorology and peace research, with academic prizes awarded in both disciplines..I
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發(fā)表于 2025-3-24 04:18:14 | 只看該作者
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發(fā)表于 2025-3-24 08:27:08 | 只看該作者
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發(fā)表于 2025-3-24 12:23:53 | 只看該作者
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發(fā)表于 2025-3-24 15:01:46 | 只看該作者
Face Mask Recognition System-Based Convolutional Neural Network,ce mask at all, wearing it improperly, or wearing it correctly. In this study, we employ a convolutional neural network (CNN)-based architecture, to develop a face mask detection/recognition model. The model achieved an impressive accuracy of 97.25% in classifying individuals into the categories of
19#
發(fā)表于 2025-3-24 21:17:27 | 只看該作者
Fuzzy Inference System Based-AI for Diagnosis of Esophageal Cancer,m accuracy of 95.24%, with an even higher accuracy of 98% for each patient’s prediction. For future studies, it is highly recommended that the fuzzy rules be expanded to include more variables and dataset.
20#
發(fā)表于 2025-3-25 01:37:47 | 只看該作者
Machine Learning Based Cardless ATM Using Voice Recognition Techniques, algorithms. In some research, a linear neural network was used in which the weights were trained using a method other than backpropagation. We have used a hybrid method; mel-frequency cepstral coefficient and random forest.
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