The proceedings contain 101 papers. The topics discuss include: microgrid system modelling and performance analysis: analysis from case studies;minimization of the range anxiety of electric vehicles with different sta...
ISBN:
(纸本)9798350309409
The proceedings contain 101 papers. The topics discuss include: microgrid system modelling and performance analysis: analysis from case studies;minimization of the range anxiety of electric vehicles with different state-of-charge of the battery;grid integrated renewable energy resources with battery storage support for optimized EV charging;analysis of switching surge and harmonics using hybrid method in short transmission line on resistive load in MATLAB;optimizing solar energy harvesting: a comprehensive review of intelligent MPPT for battery charging circuits;enhancing blockchain security through quantum key distribution and evaluating QKD network in QKDNetSim environment;deep learning approach for MI detection using SVM-based classifier;and switch capacitor-based reduced component 5 - level boost inverter.
The proceedings contain 26 papers. The special focus in this conference is on optimization, Learning Algorithms and applications. The topics include: Pest Detection in Olive Groves Using YOLOv7 and YOLOv8 Mo...
ISBN:
(纸本)9783031530357
The proceedings contain 26 papers. The special focus in this conference is on optimization, Learning Algorithms and applications. The topics include: Pest Detection in Olive Groves Using YOLOv7 and YOLOv8 Models;Using LiDAR Data as Image for AI to Recognize Objects in the Mobile Robot Operational Environment;an Evaluation of Image Preprocessing in Skin Lesions Detection;an Artificial Intelligence-Based Method to Identify the Stage of Maturation in Olive Oil Mills;vehicle Industry Big Data Analysis Using Clustering Approaches;enhancing Forest Fire Detection and Monitoring Through Satellite Image Recognition: A Comparative Analysis of Classification Algorithms Using Sentinel-2 Data;An Efficient GPU Parallelization of the Jaya optimization Algorithm and Its Application for Solving Large Systems of Nonlinear Equations;Multi-objective Optimal Sizing of an AC/DC Grid Connected Microgrid System;sub-system Integration and Health Dashboard for Autonomous Mobile Robots;movement Pattern Recognition in Boxing Using Raw Inertial Measurements;optimization Models for Hydrokinetic Energy Generated Downstream of Hydropower Plants;deep Conditional Measure Quantization;fault Classification of Wind Turbine: A Comparison of Hyperparameter optimization Methods;Assessing the Reliability of AI-Based Angle Detection for Shoulder and Elbow Rehabilitation;deep Learning and Machine Learning Techniques Applied to Speaker Identification on Small Datasets;performance of Heuristics for Classifying Leftovers from Cutting Stock Problem;Deep Learning-Based Classification and Quantification of Emulsion Droplets: A YOLOv7 Approach;identification of Late Blight in Potato Leaves Using Image Processing and Machine Learning;adaptive Convolutional Neural Network for Predicting Steering Angle and Acceleration on Autonomous Driving Scenario;Impact of EMG Signal Filters on Machine Learning Model Training: A Comparison with Clustering on Raw Signal;assessing the 3D Position of a Car with a Single 2D Camera Usin
The proceedings contain 26 papers. The special focus in this conference is on optimization, Learning Algorithms and applications. The topics include: Pest Detection in Olive Groves Using YOLOv7 and YOLOv8 Mo...
ISBN:
(纸本)9783031530241
The proceedings contain 26 papers. The special focus in this conference is on optimization, Learning Algorithms and applications. The topics include: Pest Detection in Olive Groves Using YOLOv7 and YOLOv8 Models;Using LiDAR Data as Image for AI to Recognize Objects in the Mobile Robot Operational Environment;an Evaluation of Image Preprocessing in Skin Lesions Detection;an Artificial Intelligence-Based Method to Identify the Stage of Maturation in Olive Oil Mills;vehicle Industry Big Data Analysis Using Clustering Approaches;enhancing Forest Fire Detection and Monitoring Through Satellite Image Recognition: A Comparative Analysis of Classification Algorithms Using Sentinel-2 Data;An Efficient GPU Parallelization of the Jaya optimization Algorithm and Its Application for Solving Large Systems of Nonlinear Equations;Multi-objective Optimal Sizing of an AC/DC Grid Connected Microgrid System;sub-system Integration and Health Dashboard for Autonomous Mobile Robots;movement Pattern Recognition in Boxing Using Raw Inertial Measurements;optimization Models for Hydrokinetic Energy Generated Downstream of Hydropower Plants;deep Conditional Measure Quantization;fault Classification of Wind Turbine: A Comparison of Hyperparameter optimization Methods;Assessing the Reliability of AI-Based Angle Detection for Shoulder and Elbow Rehabilitation;deep Learning and Machine Learning Techniques Applied to Speaker Identification on Small Datasets;performance of Heuristics for Classifying Leftovers from Cutting Stock Problem;Deep Learning-Based Classification and Quantification of Emulsion Droplets: A YOLOv7 Approach;identification of Late Blight in Potato Leaves Using Image Processing and Machine Learning;adaptive Convolutional Neural Network for Predicting Steering Angle and Acceleration on Autonomous Driving Scenario;Impact of EMG Signal Filters on Machine Learning Model Training: A Comparison with Clustering on Raw Signal;assessing the 3D Position of a Car with a Single 2D Camera Usin
The proceedings contain 38 papers. The topics discussed include: LPV model identification based on C3 hydrogenation process;machine-learning based text entity exaction method for power system transformer maintenance;B...
ISBN:
(纸本)9781839539824
The proceedings contain 38 papers. The topics discussed include: LPV model identification based on C3 hydrogenation process;machine-learning based text entity exaction method for power system transformer maintenance;BERT-based intelligent text record mining for risk analysis of power system equipment;efficient defect detection of electric power system components using UAV based aerial images;scenario-based optimal planning of wind-photovoltaic-hydro complementary generation system;entropy weight based optimal capacity planning and evaluation method of wind-photovoltaic-ESS combined generation system;an interference mitigation technique for automotive radar based on empirical wavelet transform and maximum correlation coefficient;optimal capacity configuration of multi-energy systems considering the uncertainties of renewable energy;and optimal energy dispatch of multi-energy microgrid considering the uncertainties of renewable resources.
The proceedings contain 47 papers. The topics discussed include: a comparative analysis of metaheuristic techniques for improving PTE and pdl of a wireless power transfer system;constructive heuristics and mathematica...
ISBN:
(纸本)9781665457231
The proceedings contain 47 papers. The topics discussed include: a comparative analysis of metaheuristic techniques for improving PTE and pdl of a wireless power transfer system;constructive heuristics and mathematical formulation for solving the permutation flow shop scheduling problem with setup time;optimal design of type 3 and type 4 linear phase fir differentiators using the genetic algorithm;genetic algorithms for optimal control of a continuous model of a diabetic population;modeling of fuel cell by using proteus;an algorithm for gate resizing to reduce power dissipation in combinational digital designs;energy management of battery/supercapacitor electric vehicle considering regenerative braking control;and smart medical devices to help patients and health workers: a survey.
The proceedings contain 90 papers. The topics discussed include: modeling analysis of carrier-based aircraft's scheduling on flight deck;modeling on heterosynaptic plasticity based on postsynaptic membrane potenti...
The proceedings contain 90 papers. The topics discussed include: modeling analysis of carrier-based aircraft's scheduling on flight deck;modeling on heterosynaptic plasticity based on postsynaptic membrane potential and current density;classification and quantitative modeling analysis of groundwater hardness based on ultraviolet absorption spectrum;congestion control of multi-layer cellular networks based on modeling of transmit power;an evaluation method of dc magnetic bias vibration for transformer based on prior knowledge and neural network modeling;simulation and functional mechanism of tuna median fins on yaw mobility in unsteady flow;modeling and intelligent identification of axis orbit for rotating machinery based on the convolution neural networks;and modeling and robust continuous power allocation strategy with imperfect channel state information in cognitive radio networks.
In order to understand the method of automatic parameter optimization for PID control software, research on automatic parameter optimization for PID control software based on machine learning has been proposed. PID pa...
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ISBN:
(纸本)9798350366105;9798350366099
In order to understand the method of automatic parameter optimization for PID control software, research on automatic parameter optimization for PID control software based on machine learning has been proposed. PID parameter tuning and optimization have always been an important issue in the control field, and appropriate PID parameters can enable the system to have good control effects. Since Ziegler and Nichols proposed the PID parameter tuning method, many algorithms have been used for PID parameter tuning optimization. Machine learning algorithms have asymptotic convergence and are a global optimization algorithm that converges to the global optimal solution with probability I. This article focuses on machine learning algorithms and uses MATLAB to optimize the design of PID parameters. This method can make the entire optimization process simple, accurate, and improve computational efficiency.
This research paper provides a thorough literature of fractional order proportional-integral-derivative (FOPID) controllers within the realm of grid integration applications. The main objective is to conduct a compara...
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This paper introduces a research endeavour that utilizes a fractional-order control methodology based on Particle Swarm optimization (PSO) to address the intricacies of the non-linear Twin Rotor Multi-input Multi-Outp...
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The proceedings contain 328 papers. The topics discussed include: investigation and performance analysis of thermo electric cooling system for electric vehicle;design of neural network-based self-tuning control for hi...
ISBN:
(纸本)9798331509675
The proceedings contain 328 papers. The topics discussed include: investigation and performance analysis of thermo electric cooling system for electric vehicle;design of neural network-based self-tuning control for high step-forward converters in renewable energy-powered hybrid electric vehicles;applications of artificial intelligence and machine learning for accurate forecasting and optimization of renewable energy generation;enhanced thermo-physical properties of titanium dioxide nanofluids: applications in renewable energy systems and smart grid cooling technologies;viscosity behavior of multi-walled carbon nanotube nanofluids for advanced renewable energy cooling and storage systems;electric vehicle with enhanced power reliability and integrated charging technology;and adaptive rooftop solar system with optical wireless charging for electric vehicle batteries.
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