The paper contributes to getting familiar with various tools and platforms incorporated with learning dashboards that provide digital teaching and learning. The article also includes the different components for learn...
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The advent of blockchain and machine learning technologies has introduced revolutionary possibilities across various industries, and the education sector is no exception. Blockchain, as a decentralized and immutable d...
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To achieve effective feedback and proficiency tracking of students in contemporary educational settings, we propose a methodology that integrates the RNN-GRU model and dynamic Bayesian networks for predicting students...
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The increasing world population leads to a heightened demand for sustainable living and nutritious food. The farming industry, which is one of the most profitable in the world, faces challenges in meeting these needs....
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The proceedings contain 575 papers. The topics discussed include: an analysis of medical images using deep learning;development and construction of an automated sanitizing robot incorporating ultrasonic sensor and san...
ISBN:
(纸本)9798350399264
The proceedings contain 575 papers. The topics discussed include: an analysis of medical images using deep learning;development and construction of an automated sanitizing robot incorporating ultrasonic sensor and sanitizer level detection sensor;mutual user authentication using inherent techniques for cloud and fog computing;design and optimization of downlink massive MIMO system based on OTFS modulation enabling modified 3D-SOMP channel estimation;comparative analysis of performance indicators to improve the quality in Indian educational institutions using GRD ensemble methods;improved algorithm for solar power systems for efficient tracking system;cryptocurrency trading using machine learning;development of smart grid infrastructure in cybersecurity;development of a sleep monitoring system using cloud computing and big data techniques;and securing international law against cyber-attacks through blockchain integration.
Aiming at the problems of traditional particle swarm optimization (PSO) algorithm such as slow convergence speed and easy to fall into local optimum, this paper proposes to use the core idea of simulated annealing alg...
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Mega data application has become the main factor affecting CET, which breaks the balance of the traditional CET ecosystem. Using mega data technology to build an CET ecological environment is the main means to improve...
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The study aimed to enhance the accuracy and reliability of automatic fish detection and species classification from aquatic images and videos. Traditional manual methods are time-consuming, and existing automatic syst...
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Cloud computing (CC) has ushered in a paradigm shift in the provisioning of IT resources, offering users enhanced cost-efficiency and streamlined infrastructure management. However, this growth in CC adoption has also...
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This study addresses the optimization of deep learning and transfer learning models for Traffic Sign Recognition (TSR) under diverse environmental conditions and class imbalances. Traffic Sign Recognition Database (TS...
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