this paper addresses the synchronization for coupled reaction-diffusion neural networks (CRNNs) with multi-state couplings suffering attacks. By utilizing the Kronecker product, a network synchronization criterion is ...
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there has been a significant change in the management and operation of buildings as a result of the incorporation of Distributed Intelligence into Building Management Systems. this paper analyzes the revolutionary pot...
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Voice-based user interfaces (VUIs) represent a promising avenue for enhancing accessibility in humancomputer interaction (HCI). this research paper investigates the effectiveness of VUIs in addressing accessibility ch...
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Federated learning (FL) has been introduced as a method of cooperative machine learning models on decentralized machines. However, the assumption of independently and identically distributed data (IID) is often not tr...
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Monocular depth estimation constitutes a foundational task in computer vision and robotics, with notable advancements in self-supervised learning. However, due to insufficient consideration of semantic information and...
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the proceedings contain 9 papers. the special focus in this conference is on Broadband Communications, networks, and Systems. the topics include: Deep CounterStrike: Counter Adversarial Deep Reinforcement Learning for...
ISBN:
(纸本)9783031404665
the proceedings contain 9 papers. the special focus in this conference is on Broadband Communications, networks, and Systems. the topics include: Deep CounterStrike: Counter Adversarial Deep Reinforcement Learning for Defense Against Metamorphic Ransomware Swarm Attack;android Malware Detection Based on Static Analysis and Data Mining Techniques: A Systematic Literature Review;malEfficient10%: A Novel Feature Reduction Approach for Android Malware Detection;BCTM: A Topic Modeling Method Based on External Information;an Empirical Study on Model Pruning and Quantization;Client Selection Based on Diversity Scaling for Federated Learning on Non-IID Data;a Modern Platform for Social Governance.
By the latest method, wafers of semiconductors have been sliced very thin for manufacturing efficiency, and the manufacturing process of stacking various thin films has been used. In order to measure such a thin film ...
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By the latest method, wafers of semiconductors have been sliced very thin for manufacturing efficiency, and the manufacturing process of stacking various thin films has been used. In order to measure such a thin film during the semiconductor manufacturing process, an Elipsometer, a non-destructive optical device, is used. Ellipsometer analyzes the thin film by checking the change in the polarization state of the incident light after the light irradiated to the wafer surface is reflected from the incident surface. However, thinly sliced wafers are often bent during the manufacturing process, so in industrial sites therefore, it was difficult to efficiently measure the thin film by maintaining an accurate optical state. Accordingly, this study analyzed data based on the image of Machine Vision and compared algorithms that efficiently enable precise measurement on vented wafers by using it and changing the Z axis. thus, we propose a focusing optimizing algorithm based on machine vision image processing and evaluate the data and features to support it, and we open data sets and algorithm codes that can prove this process in Github repository(1). In addition, the efficiency of these algorithms was interpreted through simulation figures, and through this, an optical system capable of precise measurement applying a method of efficiently moving the Z-axis is proposed. (c) 2023 the Authors. Published by Elsevier B.V.
In recent years, neural networks in deep reinforce-ment learning (D RL) have achieved success in various tasks, owing to their high expressiveness and flexibility. Neural networks are expected to be increasingly used ...
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Ebola Virus Disease (EVD) is a highly contagious and fatal disease that poses a serious threat to public health and security. Accurate and timely forecasting of EVD outbreaks is essential for effective prevention and ...
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this paper presents a comprehensive Artificial Neural Network (ANN)-based control scheme for single-phase grid-connected inverters, emphasizing efficient and accurate synchronization. Using Echo State networks (ESN) w...
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