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Titlebook: Intelligent Systems and Sustainable Computing; Proceedings of ICISS V. Sivakumar Reddy,V. Kamakshi Prasad,Naga Mallika Conference proceedin

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樓主: cerebral-cortex
61#
發(fā)表于 2025-4-1 02:39:56 | 只看該作者
Enhancing the MANET AODV Forecast of a Broken Link with LBP,ad hoc on-demand distance vectors (AODV) routing protocol is used in MANETs. The network‘s ability to provide high-quality services will be compromised if the links between each node do not function effectively to convey the necessary data. This problem causes less energy, low signal strength and th
62#
發(fā)表于 2025-4-1 07:54:34 | 只看該作者
Educational Innovation Using Augmented Reality: Systematic Literature Review,ture and research on educational innovation using augmented reality. Systematic literature evaluations were performed in accordance with PRISMA‘s guidelines for conducting and reporting systematic reviews. A total of 25 peer-reviewed articles were included after a systematic search of the Scopus dat
63#
發(fā)表于 2025-4-1 13:54:52 | 只看該作者
A Current Survey Trends on Child Safety Devices Using IoT, It is also very impossible that we will be able to alter people’s attitudes in general, but we should provide protection and surveillance devices for children and women who are victims of sexual assault, suicide bombs, abduction, and molestation, among other things. The survey consists of three dif
64#
發(fā)表于 2025-4-1 17:16:37 | 只看該作者
Intelligent Children Safety and Security Wearable Shield Using IoT,e taking ample measures in making strong legislations that shall award harsh punishments to the culprits, there is a need to design a smart system that is pro-active, user friendly, and sufficiently automated. The electronic system suggested here ensures safety and security of the girl child/women w
65#
發(fā)表于 2025-4-1 21:22:51 | 只看該作者
Software Defects Prediction Using Machine Learning Algorithms,s and may directly impact quality. Defective software modules significantly lower software quality, which results in cost overruns, missed deadlines, and far higher maintenance expenses. One of the best strategies in this direction is to predict software problems using machine learning (ML) methods.
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