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Titlebook: Making Use of Biology for GCSE; Pauline Alderson,Martin Rowland Textbook 1989Latest edition Macmillan Publishers Limited 1989 biology.cell

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樓主: Tyler
21#
發(fā)表于 2025-3-25 04:58:57 | 只看該作者
Microorganismse and saw them only as small specks. Even when light microscopes improved, it was still difficult to see much inside a microorganism. When electron microscopes were invented in the 1920s, we learnt a great deal more about microorganisms.
22#
發(fā)表于 2025-3-25 10:54:42 | 只看該作者
23#
發(fā)表于 2025-3-25 13:33:56 | 只看該作者
ted by warping the frequency-axis by appropriate . factor. However, it is computationally expensive to find warping factor for each speaker. This problem is overcome by incorporating a . warping function for all the speakers. Different psychoacoustic scales have been proposed over the past decade th
24#
發(fā)表于 2025-3-25 19:14:34 | 只看該作者
ted by warping the frequency-axis by appropriate . factor. However, it is computationally expensive to find warping factor for each speaker. This problem is overcome by incorporating a . warping function for all the speakers. Different psychoacoustic scales have been proposed over the past decade th
25#
發(fā)表于 2025-3-25 20:43:59 | 只看該作者
26#
發(fā)表于 2025-3-26 03:39:51 | 只看該作者
27#
發(fā)表于 2025-3-26 05:16:04 | 只看該作者
28#
發(fā)表于 2025-3-26 10:57:53 | 只看該作者
Pauline Alderson,Martin Rowland were happened to detect diabetes however most works were not considered critical factors of diabetes. In this study, proposed machine learning model creates various diabetes subtypes and pinpoints discriminating features. First, we gathered Pima Indians diabetic dataset (PIDD) and Sylhet Diabetes H
29#
發(fā)表于 2025-3-26 15:40:23 | 只看該作者
30#
發(fā)表于 2025-3-26 20:52:25 | 只看該作者
Pauline Alderson,Martin Rowland X-ray datasets of COVID-19 infected patients from Kaggle and Github, and pre-processed it using random sampling. Then, we proposed an enhanced convolutional neural network (CNN) model to this dataset and obtained a 94.03% accuracy, 95.52% AUC and 94.03% f-measure for detecting COVID-19 patients. We
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