Titlebook: IOT with Smart Systems; Proceedings of ICTIS Tomonobu Senjyu,Parakshit Mahalle,Amit Joshi Conference proceedings 2022 The Editor(s) (if app

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2190-3018 The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.978-981-16-3947-0978-981-16-3945-6Series ISSN 2190-3018 Series E-ISSN 2190-3026

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Cross-View Gait Recognition Using Deep Learning Approach, models on large-scale gait datasets were being extensively tested and have been compared with the benchmark approaches. The proposed model‘s overall average accuracy is about 93.0%. Where various clothing and transport conditions have been encountered, the method is also robust for such conditions.

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A Survey of Energy-Efficient Electro-hydraulic Control System for Collaborative Humanoid Robots,ts seems to be the more viable solution for the actuation of legged robots as the system has the highest load capacity compared to other systems with one of the studies showing up to 60% reduction in operator load by using a robot that can operate in either active or passive mode depending on the operator’s needs.

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OSTBC-MIMO Based Radio Propagation System Over Irregular Terrain in the Northern Cape Province of Sd Atoll wireless network software. The results generated show that employing a low-frequency OSTBC MIMO transceiver system, in rough terrain environments, can greatly improve radio signal reception and link reliability

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Scaling of Rapid Tests During Pandemics Using Application: Conceptual Resolving of Irremediable COVst booking Web app provides the user to choose what, when, and where to take the COVID-19 test, it also helps the government health officials to maintain a safe database. This ensures the increase of COVID-19 test being taken and provides the individual proper safety and assurance.

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A Theoretical Approach of Information Measure for Pythagorean Fuzzy Sets,actor is one. In the existing paper, an information measure for the Pythagorean fuzzy set has been propositioned including the verification of its rationality. The monotonic performance of the anticipated information measure has been examined and displayed.

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Efficient Resource Distribution in Cognitive Radio Network by Fuzzy-Based Cluster Against Attacks,ng attacks on the wireless transmission phase are analyzed. They can be detected via a convolution neural network to identify and distinguish various attacks. Finally, the simulation results for the proposed protocol and the corresponding resource sharing algorithm not only allow SU to gain transmis

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Promote an Abstract Understanding of the Problem-Solving Knowledge in the Theory of Computation Thrand gets feedback. The active way of learning se using Java Formal Languages and Automata Package (JFLAP) tool. It is a preexisting software tool created by Professor Susan Rodger and her students at Duke University. The control group and experimental group results are presented in this paper partia

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COVID-19 Outbreak Prediction Using Machine Learning,d about to predict COVID-19 cases used by experts or researchers around the globe. In this research project, we have used univariate LSTM model to make predictions. The number of confirmed cases, number of recovered cases and the number of death cases in the coming days are being predicted. Mean abs

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SLAM Using Neural Network-Based Depth Estimation for Auto Vehicle Parking,RGB-D dataset. The proposed implementation would be ideal algorithm for angle, perpendicular or parallel parking, and would be a helpful aid in autonomous street parking, parking lots, garage parking or any other parking spaces.