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Titlebook: Intelligent Systems for Social Good; Theory and Practice Shyamapada Mukherjee,Naresh Babu Muppalaneni,Ashok Book 2022 The Editor(s) (if app

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樓主: Deleterious
31#
發(fā)表于 2025-3-27 00:41:45 | 只看該作者
32#
發(fā)表于 2025-3-27 03:00:09 | 只看該作者
33#
發(fā)表于 2025-3-27 05:25:06 | 只看該作者
Pandemic Surveillance Through Perspective Transformation Using YOLO and Mobile Net, to prevent COVID-19 spread. This chapter has proposed a Machine Learning (ML) and Deep Learning (DL)-based technique to monitor social distance and mask to prevent coronavirus spread. The system will be using CCTV feed to monitor the area. It uses object detection models like YOLO, Mobile-Net that
34#
發(fā)表于 2025-3-27 11:09:28 | 只看該作者
2191-6853 challenges in the application of AI and IoT to solve them. It discusses the adverse attacks on machine Learning models and how to protect sensitive data over the IoT networks. It also includes the security issues in IoT and their possible solutions..978-981-19-0772-2978-981-19-0770-8Series ISSN 2191-6853 Series E-ISSN 2191-6861
35#
發(fā)表于 2025-3-27 15:04:53 | 只看該作者
IOT Based Automated Fish Tank, pH sensor will display pH of water, temperature sensor and heater, cooler is used to maintain water temperature and bubbler will operate as a consequence of dissolved oxygen sensor to retain oxygen level.
36#
發(fā)表于 2025-3-27 20:31:47 | 只看該作者
Cloud Based Examination Hall Authentication System Using Fingerprint Module, a portable device which allow authentication and attendance taking through fingerprint scan and sends the data to the examination server which can be accessed by faculty members as well and notifies the candidate if he/she was absent for the exam.
37#
發(fā)表于 2025-3-28 00:29:57 | 只看該作者
38#
發(fā)表于 2025-3-28 03:39:48 | 只看該作者
39#
發(fā)表于 2025-3-28 08:23:59 | 只看該作者
40#
發(fā)表于 2025-3-28 11:52:15 | 只看該作者
An Innovative Approach to Fuzzy Soft Set Based Investment Framework Using Machine Learning Algoriths we have implemented a novel machine learning approach to FSS-based IDM to invest in a risky situation. Some numerical examples demonstrate the viability of our proposed machine learning method in practice.
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