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Titlebook: Inventive Systems and Control; Proceedings of ICISC V. Suma,Zubair Baig,Pascal Lorenz Conference proceedings 2022 The Editor(s) (if applica

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31#
發(fā)表于 2025-3-28 01:39:13 | 只看該作者
Conference proceedings 2022T College of Engineering and Technology, Coimbatore, India. The conference proceedings of ICISC 2022 includes an analysis of the class of intelligent systems and control techniques that utilizes various artificial intelligence technologies, where there is no mathematical models and system available
32#
發(fā)表于 2025-3-28 02:25:55 | 只看該作者
Vaccination Reminder System, that provide the required vaccines in their locality. It also shows the availability of COVID-19 vaccines. It also helps the user access the web application in their preferred language to be helpful to understand. It checks the user’s age and matches with the eligibility for the vaccine.
33#
發(fā)表于 2025-3-28 06:19:01 | 只看該作者
34#
發(fā)表于 2025-3-28 14:14:06 | 只看該作者
35#
發(fā)表于 2025-3-28 18:03:07 | 只看該作者
36#
發(fā)表于 2025-3-28 21:04:05 | 只看該作者
37#
發(fā)表于 2025-3-29 01:11:59 | 只看該作者
A Decentralised Blockchain-Based Secure Authentication Scheme for IoT Devices,schemes to adversarial threats. We present a blockchain-based decentralised authentication scheme for peer-to-peer IoT networks. The scheme is designed to foster secure authentication for IoT devices in an integrated IoT-cloud network topology.
38#
發(fā)表于 2025-3-29 06:33:06 | 只看該作者
Anti-cancer Drug Response Prediction System Using Stacked Ensemble Approach,. In this ensemble algorithm, random forest, linear regression, and Gaussian Na?ve Bayes are stacked and enhanced with the voting average method. The efficiency level obtained in this research is 97.5%. The dataset is taken from GDSC and GCLE for the experimentation.
39#
發(fā)表于 2025-3-29 08:40:25 | 只看該作者
40#
發(fā)表于 2025-3-29 15:24:08 | 只看該作者
Brain MR Image Segmentation for Tumor Identification Using Hybrid of FCM Clustering and ResNet,50 model. A dataset provided by Kaggle comprising brain MR images has been used in training and testing the model. The image segmentation results are compared with the K-means clustering method using various performance metrics. The maximum accuracy of 91.18% has been observed at 350 epochs by the proposed method.
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