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Titlebook: Deep Sciences for Computing and Communications; Second International Annie Uthra R.,Kottilingam Kottursamy,Vimaladevi M Conference proceedi

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樓主: 選民
21#
發(fā)表于 2025-3-25 03:31:51 | 只看該作者
Performance Analysis of Various Machine Learning Techniques for Mental Health Trackingto provide a critical review, and literature review, about all the machine learning techniques which are supervised-based. These techniques include Random Forest Classification, KNN Classifier, Logistic Regression, Decision Tree Classifier, Bagging, Boosting, & Stacking. And to determine the most ef
22#
發(fā)表于 2025-3-25 08:49:23 | 只看該作者
23#
發(fā)表于 2025-3-25 12:02:22 | 只看該作者
24#
發(fā)表于 2025-3-25 17:24:16 | 只看該作者
Conference proceedings 2024ations, IconDeepCom 2023, held in Chennai, India, in April 2023...?..The 74 full papers and 8 short papers presented here were thoroughly reviewed and selected from 252 submissions.?The papers presented in these two volumes are organized in the following topical sections:..Part I:?Applications of Bl
25#
發(fā)表于 2025-3-25 21:35:42 | 只看該作者
,Der Prozess der Führung von unten,e all consume. Our idea is to build a decentralized database for people who are growing food products to all who are eating food products or to track where food comes from and goes, and to look for medicine fraud.
26#
發(fā)表于 2025-3-26 02:44:09 | 只看該作者
,Die Führungskraft als Performance Manager,t. The proposed framework uses both the QR code and the serial number for the identification of fake products along with supply chain tracing. The performance of the proposed framework is evaluated using the transaction and execution cost.
27#
發(fā)表于 2025-3-26 07:54:47 | 只看該作者
28#
發(fā)表于 2025-3-26 11:01:11 | 只看該作者
29#
發(fā)表于 2025-3-26 15:44:08 | 只看該作者
AJAZe all consume. Our idea is to build a decentralized database for people who are growing food products to all who are eating food products or to track where food comes from and goes, and to look for medicine fraud.
30#
發(fā)表于 2025-3-26 17:02:27 | 只看該作者
Blockchain-Driven Framework for Fake Product Detectiont. The proposed framework uses both the QR code and the serial number for the identification of fake products along with supply chain tracing. The performance of the proposed framework is evaluated using the transaction and execution cost.
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