Titlebook: Inventive Systems and Control; Proceedings of ICISC V. Suma,Pascal Lorenz,Zubair Baig Conference proceedings 2023 The Editor(s) (if applica

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Adaptive Deep Recurrent Neural Network-Based COVID-19 Healthcare Data Prediction for Early Risk Prected features are introduced to an Adaptive Deep vectorized Recursive Neural Network (ADVRNN) to predict the coronavirus affected rate. The results of the proposed ADVRNN experiment improve prediction accuracy, recall, f-measure, and precision rate to enhance the early detection prediction performan

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,Authentication Key Generator for Data Sharing on Cloud—A Review,er the Internet and makes use of numerous online technologies, which raises fresh security concerns. One of the most important requirements for today is online data exchange for greater productivity and efficiency. In this work, we have done a detailed analysis on cloud-based security issues and pos

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,Real-Time Intrusion Detection in Connected Autonomous Vehicles,al time in the network field of CAVs that is based on logical analysis of data (a.k.a LAD). For this, we have used the CAV-KDD dataset, which has been developed from a benchmark dataset KDDCUP’99 and resembles an actual network environment of CAVs. Our results have shown better performance than the

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Detection of Arrhythmia via Electrical Activity of the Heart Using AI Techniques,eural Network achieved 98% accuracy, 90% macro average, and 98% weighted average. The Decision Tree Classifier achieved 95% accuracy, 80% macro average, and 95% weighted average. The Random Forest Classifier achieved 97% accuracy, 86% macro average, and 97% weighted average. The MLP Classifier achie

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Detection of Covid-19 Using an Infrared Fever Screening System (IFSS) Based on Deep Learning Techno/facial auto-calibration system that provides accurate and presides facial landmarks that help track people and measure their temperature at various regions; (3) A real-time sensor fusion of visual and thermal camera data that forms a single model with multiple lidars, racial recognition. The propos

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A Novel Dynamic Energy Amendment Control for Solar Fed Brushless DC Motor for Water Pumping System, The DEAC controller automatically regulates the inverter’s PWM based on load fluctuation, therefore speed control is not needed. BLDCM speed control needs are greater because rotor position analysis requires continual self-synchronization feedback. High homeostatic functions absolute or incremental