Within a distributed deep learning training system, variances in performance among computing nodes, as well as the influence of external environmental factors, can result in training interruptions or reduced convergen...
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This research focuses on the development of a machine learning-based distributed fault diagnosis system that aims to improve the accuracy and real-time detection of faults in large-scale distributedsystems. By deeply...
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Social networking platforms have become our center for daily communication. These networks removed all the barriers that used to exist by providing open platform for sharing thoughts, keeping in touch with friends, an...
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Traditional decision support systems.(DSS) show obvious limitations in dealing with increasingly complex and dynamic decision-making scenarios. By integrating graph neural networks (GNNs) and expert systems.(ESs), thi...
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This research analyzes the challenges faced by Sign Language Recognition (SLR) systems.by evaluating the performance of EfficientNetB3, Inception-v3, and GoogLeNet models. Using a dataset of 27,000 American Sign Langu...
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The proceedings contain 50 papers. The special focus in this conference is on Intelligent computing Techniques For Smart Energy systems. The topics include: Analysis of Fault and Current-Limiting Methods in the Power ...
ISBN:
(纸本)9789819784639
The proceedings contain 50 papers. The special focus in this conference is on Intelligent computing Techniques For Smart Energy systems. The topics include: Analysis of Fault and Current-Limiting Methods in the Power System;UDS for Data Communication in Temperature Monitoring;approximation in the Weighted Lipschitz Class by (C,α,θ)(E,q) Mean of Its Fourier Series;demand Response and Load Profile Analysis in Modern Electricity systems.First-Principles Study of the Structural, Optical and Electronic Properties of Zinc Blende GaN Through PBEsol and TB-mBJ Functionals;optimization-Based Cost Analysis for Energy Management System in Microgrids;classification and Prediction of Knee Osteoarthritis by Deep Learning Approach;Predicting Stock Price and Market Direction Using Statistical and LSTM Models;Comprehensive Evaluation of Time Management with Balancing Resistors in Passive Cell Balancing Using the 1RC Model;PAWnnect: Pioneering IoT-ML Driven Pet Monitoring;transactive Energy Management for Microgrids: Peer-To-Peer Trading Using Stackelberg Game Approach;Unravelling the Mind's Emotions: A Review of EEG-Based Emotion Detection Using Machine Learning and Deep Learning;unlocking IoT Security: Enabling the Future with Lightweight Cryptographic Ciphers;Optimal Design of Nano Scale Voltage Amplifier Using Evolutionary Techniques for DG-MOSFET;flower Patterned with Elliptical Petals Multiband Microstrip Fractal Patch Antenna for Wireless Applications;Optimal Scheduling of Solar PV Generators and Network Assets in Distribution Network;revolutionizing Biomedical Engineering with Microcontroller Applications: A Comprehensive Review;investigation of Battery Temperature Impact on High Voltage Cable of Electric Vehicles;deep Learning Technique for Computer Vision-Based Pose Estimation for Augmented Reality;Rectangular Shape Patch Antenna with Defected Ground Plane for 5G Sub 6 GHz Wireless Communication systems.
The proceedings contain 46 papers. The topics discussed include: building a cancer type prediction model based on machine learning algorithms by analyzing the origin genes of multiple cancers including prostate cancer...
ISBN:
(纸本)9798350388725
The proceedings contain 46 papers. The topics discussed include: building a cancer type prediction model based on machine learning algorithms by analyzing the origin genes of multiple cancers including prostate cancer;cross-domain specific emitter identification based on domain adversarial multi-constraint;a robust defense algorithm for backdoor erasure based on attention alignment in federated learning;research and design of data link twin system;a simple image denoising method associated with image edge protection;research on optimal allocation of integrated resources of mergers and acquisitions based on distributed cloud computing;power control based on deep Q learning in heterogeneous networks;HybridTrajNet: enhancing pedestrian trajectory prediction with multi-scale attention and large selective kernel;and a method for essential proteins identification by integrating topological and biological characteristics in PPI network.
The proceedings contain 50 papers. The special focus in this conference is on Intelligent computing Techniques For Smart Energy systems. The topics include: Analysis of Fault and Current-Limiting Methods in the Power ...
ISBN:
(纸本)9789819784288
The proceedings contain 50 papers. The special focus in this conference is on Intelligent computing Techniques For Smart Energy systems. The topics include: Analysis of Fault and Current-Limiting Methods in the Power System;UDS for Data Communication in Temperature Monitoring;approximation in the Weighted Lipschitz Class by (C,α,θ)(E,q) Mean of Its Fourier Series;demand Response and Load Profile Analysis in Modern Electricity systems.First-Principles Study of the Structural, Optical and Electronic Properties of Zinc Blende GaN Through PBEsol and TB-mBJ Functionals;optimization-Based Cost Analysis for Energy Management System in Microgrids;classification and Prediction of Knee Osteoarthritis by Deep Learning Approach;Predicting Stock Price and Market Direction Using Statistical and LSTM Models;Comprehensive Evaluation of Time Management with Balancing Resistors in Passive Cell Balancing Using the 1RC Model;PAWnnect: Pioneering IoT-ML Driven Pet Monitoring;transactive Energy Management for Microgrids: Peer-To-Peer Trading Using Stackelberg Game Approach;Unravelling the Mind's Emotions: A Review of EEG-Based Emotion Detection Using Machine Learning and Deep Learning;unlocking IoT Security: Enabling the Future with Lightweight Cryptographic Ciphers;Optimal Design of Nano Scale Voltage Amplifier Using Evolutionary Techniques for DG-MOSFET;flower Patterned with Elliptical Petals Multiband Microstrip Fractal Patch Antenna for Wireless Applications;Optimal Scheduling of Solar PV Generators and Network Assets in Distribution Network;revolutionizing Biomedical Engineering with Microcontroller Applications: A Comprehensive Review;investigation of Battery Temperature Impact on High Voltage Cable of Electric Vehicles;deep Learning Technique for Computer Vision-Based Pose Estimation for Augmented Reality;Rectangular Shape Patch Antenna with Defected Ground Plane for 5G Sub 6 GHz Wireless Communication systems.
With the continuous development and expansion of new energy devices, the user group using distributed energy technology is also expanding. distributed Multi-energy systems.(D-MES) can sustainably transform the energy ...
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ISBN:
(纸本)9798400716959
With the continuous development and expansion of new energy devices, the user group using distributed energy technology is also expanding. distributed Multi-energy systems.(D-MES) can sustainably transform the energy supply of buildings, regions, and communities by integrating multiple energy-saving technologies, renewable energy sources, and electricity, gas, and thermal networks to provide heating, cooling, and electricity services[9].distributed energy monitoring device is also more and more development prospects, especially in the country, due to energy and environmental issues more and more people's attention, the construction and use of new energy devices have been strongly supported by the government,distributed energy monitoring devices have become an important part of the stable operation of the distributed energy system. In this paper, a distributed energy monitoring device based on 5G technology is proposed. Through the interconnection of monitoring equipment and energy equipment, real-time data collection, analysis and control are realized. The device combines the distributed energy system and 5G communication technology, and has the advantages of flexibility, high efficiency and security. Through the analysis of experiments and application cases, it has also been verified.
This research focuses on the study of network security protection techniques for the central station side of distributed power dispatch and control systems. It covers various aspects such as vulnerability discovery, i...
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