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Titlebook: Ultrasound-Assisted Liposuction; Current Concepts and Onelio Garcia Jr. Book 2020 Springer Nature Switzerland AG 2020 liposuction.body cont

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樓主: Falter
41#
發(fā)表于 2025-3-28 15:06:05 | 只看該作者
42#
發(fā)表于 2025-3-28 21:16:24 | 只看該作者
43#
發(fā)表于 2025-3-29 01:27:25 | 只看該作者
Onelio Garcia Jr.r models. SVM and Logistic Regression showed the lowest accuracy rate. As the decision tree model shows the lowest error rate, it is applied and integrated into the system to allow the classification of good and rejected litchi.
44#
發(fā)表于 2025-3-29 04:59:10 | 只看該作者
45#
發(fā)表于 2025-3-29 08:58:44 | 只看該作者
46#
發(fā)表于 2025-3-29 13:31:20 | 只看該作者
approach provided in neuro-fuzzy rules set tuning by Rajab and Sharma (Soft Comput 23:921–936, 2017) [.]. There is need to consider metaheuristic algorithms approaches to obtain better solutions or nearest optimal values to the optimization problems in neural networks.
47#
發(fā)表于 2025-3-29 17:07:57 | 只看該作者
Clinical Applications explores use of the devices for commonly performed surgeries, including facial, trunk, extremity (arm and leg), and buttock contouring as well as gynecomastia. Section III: Special Applica978-3-030-26877-0978-3-030-26875-6
48#
發(fā)表于 2025-3-29 22:55:17 | 只看該作者
Onelio Garcia Jr.y castles in Rus`-Ukraine. The results have allowed to present a detailed characterization of the stonemasonry workshop “Master Avdiy”, a character from the chronicle lines, the author of the castle construction in Kholm for the first time
49#
發(fā)表于 2025-3-30 00:27:35 | 只看該作者
Onelio Garcia Jr.e in the range between 2.15 to 5?m/s and 1.5 to 5?m/s for short cracks (.?≈?0.3) and long cracks (.?≈?0.5), respectively. Short cracks (.?≈?0.3) display higher .-. curves than those for long cracks (.?≈?0.5) beyond a crack extension of 0.3?mm. The validity of the dynamic .-. curves obtained has also been explained.
50#
發(fā)表于 2025-3-30 04:15:56 | 只看該作者
leveraging the power of DevOps and without adopting it, no industry could think of surviving today. Today, industries are dependent on old data and fetching the important data out of it, making models, and training it that help them grow their companies. That practice we call it today is ML. So, th
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