This paper investigates the challenge of globally practically tracking a class of high-order nonlinear systems with time delay via feedback. The object of study is a nonlinear system, the main goal is to develop a con...
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Digital twins and Internet of Things (IoT) technology have revolutionized modern farming by enabling creative techniques of monitoring and controlling crop growth and well-being. This article investigates the potentia...
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Emotions play an important role in human cognition. With the development of affective computing, there is an increasing number of studies on building emotional machines. However, today’s machines are far from having ...
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Augmented Reality (AR), the superimposing of a virtual object on the view of the real environment, assists in visualizing engineering concepts in real-Time. computer graphics-based 3D modeling techniques evolved over ...
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Nanoelectromechanical systems (NEMS) employing graphene have garnered significant attention for their potential applications in pressure sensors. Compared to other electrical readout mechanisms, capacitive sensing is ...
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Exploiting parallelism to train deep learning models requires GPUs to cooperate through collective communication primitives. While systems like DGX, equipped with proprietary interconnects, have been extensively studi...
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The proceedings contain 30 papers. The special focus in this conference is on Mathematical modeling and Simulation of systems. The topics include: Method of Assessment of Years of Life Lost Due to COVID-19 Pandemic in...
ISBN:
(纸本)9783031673474
The proceedings contain 30 papers. The special focus in this conference is on Mathematical modeling and Simulation of systems. The topics include: Method of Assessment of Years of Life Lost Due to COVID-19 Pandemic in Ukraine;prediction of Durability of the Coatings of High-Loaded Friction Hinge Joints;simulation of Fluid-Structure Interaction in Last Stage of Steam Turbine;heat Transfer Calculation for Numerical Simulation of Thermal Mode of Slag–Splashing Lance in the Forecasting System;method for Classifying Economic Agents Based on Neural Networks and Fuzzy Logic;mathematical modeling of the Evolution of the Rehabilitation Process for Patients with Oncological Diseases;model Synthesis Algorithms for a Monitoring Software Agent;predicting Corporate Bankruptcy Using Machine Learning Models;experimental Studies of New Algorithms with Optimism and Exponential Averaging for Finding Saddle Points;The Fake News Recognition Method Based on Naïve Bayes with Improved TF-IDF Algorithm;fault-Tolerant Operation of an Integer Data Processing System;synthesis of a Mathematical Model of a Fault-Tolerant Real-Time computer System Operating in Non-positional Arithmetic in Residual Classes;machine Learning Method for Detecting Propaganda in Twitter Texts;students Classification Basing the Numerical Model to Compile Playful Teams on the Unispher™ Platform;a Fresh Approach to Neural Radiance Field modeling;method of Effective Counteraction Against Negative Information-Psychological Impact on the Regional Community by Using Social Networks;general Methodology for Detecting Fuzzy Duplicates in Electronic Texts with Integrated Mechanisms for Data Confidentiality Preservation;Implementing Recursive Proofs for Efficient Blockchain Verification: A zk-SNARKs Approach;an Optimal Clustering Approach Applying to Asynchronous Finite-State Machine Design.
The increasing interconnectedness of smart cities has led to a surge in cyber threats. This research investigates the application of machine learning (ML) techniques to bolster the security of smart city environments....
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The pending development of a cryptographically relevant quantum computer (CRQC) puts cryptographic security relying on public key cryptography at risk. Such cryptography can be found throughout systems today, includin...
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These days diabetes is among the most common diseases all over the globe. As a result, people suffering from diabetes need to change their way of life completely for the sake of their health. The health results may li...
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