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Titlebook: Communication, Networks and Computing; Third International Ranjeet Singh Tomar,Shekhar Verma,Ramjee Prasad Conference proceedings 2023 The

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樓主: 武士精神
41#
發(fā)表于 2025-3-28 16:03:46 | 只看該作者
42#
發(fā)表于 2025-3-28 18:53:52 | 只看該作者
Software für die Arbeit von morgenon and provenance through a secure socket layer and by some framework methods, through which the poisoning attacks can be detected and prevented. On this basis, our projects prevent hacks from occurring in the field of medicine.
43#
發(fā)表于 2025-3-29 01:07:13 | 只看該作者
Software, Animation and the Moving ImageIPSO and applying canny algorithm further. In this paper, edge segmentation done using improved PSO optimized technique that are present on images. Textural features extracted from IPSO segmented images using Gray Level Co-occurrence Matrix (GLCM). Textural extracted features are classified using Random Forest algorithm and obtains 98% accuracy.
44#
發(fā)表于 2025-3-29 07:03:13 | 只看該作者
A Robust Graphical Authentication System for the Shoulder Surfing Attack in this that must be kept private. Each digit has a unique value that is determined by a set of computations and algorithms. This makes it difficult for the attacker to decrypt the password and makes it possible to prevent numerous cyber attacks like dictionary attacks and shoulder surfing attacks.
45#
發(fā)表于 2025-3-29 09:34:22 | 只看該作者
46#
發(fā)表于 2025-3-29 11:59:12 | 只看該作者
Prevention and Detection of Poisoning Attacks in Medical-Based Machine Learning Web Applicationson and provenance through a secure socket layer and by some framework methods, through which the poisoning attacks can be detected and prevented. On this basis, our projects prevent hacks from occurring in the field of medicine.
47#
發(fā)表于 2025-3-29 16:14:36 | 只看該作者
Edge Discerning Using Improved PSO and Canny AlgorithmIPSO and applying canny algorithm further. In this paper, edge segmentation done using improved PSO optimized technique that are present on images. Textural features extracted from IPSO segmented images using Gray Level Co-occurrence Matrix (GLCM). Textural extracted features are classified using Random Forest algorithm and obtains 98% accuracy.
48#
發(fā)表于 2025-3-29 22:25:46 | 只看該作者
49#
發(fā)表于 2025-3-30 00:08:19 | 只看該作者
Ulf Schubert,Martin Gro?,Stefanie P?tzschther in the same image. In this paper recent state of arts have been surveyed in the field of CMFD. Also, comparative evaluation of various approaches has been performed to analyze the strength and limitation when comparing one approach with another.
50#
發(fā)表于 2025-3-30 05:29:57 | 只看該作者
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