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Titlebook: Mathematik für Physiker; Band 1: Grundkurs Helmut Fischer,Helmut Kaul Book 19973rd edition Vieweg+Teubner Verlag | Springer Fachmedien Wies

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樓主: Addendum
41#
發(fā)表于 2025-3-28 14:58:48 | 只看該作者
42#
發(fā)表于 2025-3-28 21:35:50 | 只看該作者
Niek Mulleners,Johan Jeuring,Bastiaan Heerenziehungswissenschaft. Es ist eine schwierige Diskussion, denn die, die sie führen, sind auch fünfundzwanzig Jahre sp?ter gro?enteils noch die, die sie seinerzeit geführt haben, seinerzeit in der gro?en Bildungsreform der siebziger Jahre. Dieser Umstand ist deshalb bemerkenswert und der Struktur der
43#
發(fā)表于 2025-3-29 02:59:36 | 只看該作者
B. Barbara,B. Dieny,J. Filippicomputer game studies from a theoretical perspective that co.This book presents a compilation of articles on the subject of game studies written over the last ten years. These texts reflect a decade of research in European computer game studies from a theoretical perspective that combines philosophy
44#
發(fā)表于 2025-3-29 05:12:49 | 只看該作者
45#
發(fā)表于 2025-3-29 09:51:01 | 只看該作者
David B. Wilsonnt exercised by the health care team. Underlying sound judg- ment is up-to-date information. Unless nurses have access to accurate and pertinent information, the care being rendered will not be of the highest standard. What is required is not necessarily more rapid and efficient informa- tion servic
46#
發(fā)表于 2025-3-29 13:42:34 | 只看該作者
Real-time Analyticsyze the data as they are received and at a rate sufficiently fast to keep up with the stream. Analyses of streaming data center about characterizing the current level of the data-generating process, forecasting future values, and determining whether the process is undergoing unexpected change. In th
47#
發(fā)表于 2025-3-29 15:47:30 | 只看該作者
Efficacy of Model Fine-Tuning for Personalized Dynamic Gesture Recognition,on model trained with data from a group of users may not generalize well for unseen users and its performance is likely to be different for different users. To address these issues, this paper investigates the approach of fine-tuning a global model using user-specific data locally for personalizing
48#
發(fā)表于 2025-3-29 22:28:13 | 只看該作者
49#
發(fā)表于 2025-3-30 01:10:37 | 只看該作者
Skin Lesion Classification Using Convolutional Neural Network for Melanoma Recognition,ermatologist. Such a visual assessment, via the naked eye for skin cancers, is challenging and arduous due to different artifacts such as low contrast, various noise, presence of hair, fiber, and air bubbles. This article proposes a robust and automatic framework for the skin lesion classification (
50#
發(fā)表于 2025-3-30 06:44:11 | 只看該作者
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