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Article
Open AccessControl strategy for current limitation and maximum capacity utilization of grid connected PV inverter under unbalanced grid conditions
Under grid voltage sags, over current protection and exploiting the maximum capacity of the inverter are the two main goals of grid-connected PV inverters. To facilitate low-voltage ride-through (LVRT), it is ...
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Chapter and Conference Paper
Deep Learning-Based Silicon Wafer Defect Classification: A Performance Comparison of Pretrained Networks
Semiconductor processing technology heavily relies on defect inspection to enhance yield by identifying surface defects in the manufacturing process. However, manual inspection is prone to errors and can be a ...
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Chapter and Conference Paper
Character Recognition Based on k-Nearest Neighbor, Simple Logistic Regression, and Random Forest
Characters recognition has gained significant attention in recent years within the field of artificial intelligence and computer vision as robots increasingly engage in activities that involve collecting and p...
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Chapter and Conference Paper
Deep Learning for Breast Cancer Detection from Mammograms Images
Mammograms has been widely used for early detection of breast cancer; however, radiologists are prone to error which could lead to unnecessary tests or missed treatment window. With the advancement of state-of...
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Chapter and Conference Paper
Hyperparameter Optimization of Deep Learning Model: A Case Study of COVID-19 Diagnosis
The global impact of COVID-19, which has affected over 700 million individuals, necessitates the development of automated diagnostic tools for rapid screening using clinical imaging, such as X-rays. Deep learn...
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Chapter and Conference Paper
Object Detection in Autonomous Vehicles: A Performance Analysis
Automotive manufacturers are investing in smart cars, driverless processes, and pre-collision technologies to deliver safe and fuel-efficient mobility solutions. This paper aims to develop an advanced object d...
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Chapter and Conference Paper
Wrapper-Based Feature Selection Using Sperm Swarm Optimization: A Comparative Study
Feature selection is a vital technique that enhances the quality of input datasets by reducing redundancy, noise, and inaccuracies without compromising classifier accuracy. The integration of metaheuristic sea...
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Chapter and Conference Paper
A Modified African Vultures Optimization Algorithm for Enhanced Feature Selection
Feature selection is a reliable technique for reducing redundant, noisy, or inaccurate features in raw input datasets without compromising classifier accuracy. Integrating metaheuristic search algorithms (MSAs...
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Chapter and Conference Paper
Optimization Strategies for Training Artificial Neural Network: A Case Study in Medical Classification
Backpropagation (BP) is a widely embraced method for training artificial neural networks (ANNs) in classification and regression tasks. However, its efficacy diminishes when confronted with complex problems du...
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Article
An augmented reality PQRST based method to improve self-learning skills for preschool autistic children
Augmented reality (AR) technology is playing an important role in the preschool education. AR provides cost-effective learning systems which improve the attention skills of preschool children. In AR technology...
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Article
Energy-economy-environment assessments of refrigerants R152a and R134a in a vapor compression refrigeration system using a variable displacement oil-free linear compressor
In light of the adverse environmental impact of the R134a refrigerant, replacing it with a more environmentally friendly refrigerant has become imperative than ever. This study presents an experimental investi...
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Article
Open AccessPerformance investigation of state-of-the-art metaheuristic techniques for parameter extraction of solar cells/module
One of the greatest challenges for widespread utilization of solar energy is the low conversion efficiency, motivating the needs of develo** more innovative approaches to improve the design of solar energy c...
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Chapter and Conference Paper
X-Ray Baggage Object Detection Using Neural Networks Approach for Safety Purpose
Airport security a matter of urgent attention and this calls for measures to ensure that all baggage that move within the airport contain non-harmful objects that may people at the airport in danger. Over the ...
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Chapter and Conference Paper
A Real-Time Social Distancing and Face Mask Detection System Using Deep Learning
It has been more than two years since the transmission of COVID-19 virus has affected the public health globally. Due to its natural characteristic, the virus is very likely to undergo mutation over time and c...
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Chapter and Conference Paper
Detection of Lead with IoT Water Monitoring System Using Microstrip Antenna-Based Sensor
This paper presents a microstrip antenna-based sensor for detecting lead in water. The proposed antenna consists of a simple rectangular patch with inset feeding with an overall size of 50 mm × 45 mm. CST Stud...
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Chapter and Conference Paper
Flow Direction Algorithm for Feature Selection
Feature selection is a method used to decrease the number of features by removing unwanted, noisy and inconsistent data while maintaining classification accuracy. Most researchers have focused on using metaheu...
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Chapter and Conference Paper
Optimized Machine Learning Model with Modified Particle Swarm Optimization for Data Classification
Metaheuristic search algorithms (MSAs) receive increasing popularity in recent year due to its excellent capability of solving complex real-world optimization problems without depending on gradient information...
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Chapter and Conference Paper
An Optimized Deep Learning Model for Automatic Diagnosis of COVID-19 Using Chest X-Ray Images
COVID-19 has caused havoc throughout the world in the last two years by infecting over 455 million people. Development of automatic diagnosis software tools for rapid screening of COVID-19 via clinical imaging...
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Chapter and Conference Paper
Feature Selection of Medical Dataset Using African Vultures Optimization Algorithm
Feature selection is one of the popular techniques used to reduce the number of features by eliminating noisy, unreliable, and unnecessary data without affecting the classification accuracy. Metaheuristic algo...
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Chapter and Conference Paper
Training Feedforward Neural Networks Using Arithmetic Optimization Algorithm for Medical Classification
Feedfoward neural network (FNN) is popular machine learning technique widely implemented for image classification, data clustering, object recognition, etc. due to its outstanding capability in processing data...
