Real-time fuzzy-PID for mobile robot control and vision-based obstacle avoidance
In this work, the differential mobile robot is controlled utilizing fuzzy PID speed control, which
combines fuzzy control with conventional PID control in real time. The path may be …
combines fuzzy control with conventional PID control in real time. The path may be …
Modeling and Simulation of Quadcopter Using Self-tuning Fuzzy-PI Controller
Helicopters, commonly known as quadrotors (UAVs), are popular unmanned aerial vehicles.
Despite their small size and high stability, they are used in a variety of applications. This …
Despite their small size and high stability, they are used in a variety of applications. This …
LiTasNeT: A Bird Sound Separation Algorithm Based on Deep Learning
A Boulmaiz, B Meghni, A Redjati… - International Journal of …, 2022 - igi-global.com
Recent advances in deep learning techniques and acoustic sensor networks offer a new
way for continuously monitoring birds. Deep learning methods have led to considerable …
way for continuously monitoring birds. Deep learning methods have led to considerable …
Fuzzy logic cyclic reports modulation control for a five-Cell inverter
The multicellular midpoint inverter is an intriguing situation; it is made up of p switching cells
isolated by p-1 floating capacitors. This inverter's voltage levels provide frequent advantages …
isolated by p-1 floating capacitors. This inverter's voltage levels provide frequent advantages …
Novel Architecture for Image Classification Based on Rough Set
S Nivetha, HH Inbarani - International Journal of Service Science …, 2023 - igi-global.com
Abstract The Computed Tomography (CT) scan images classification problem is one of the
most challenging problems in recent years. Different medical treatments have been …
most challenging problems in recent years. Different medical treatments have been …
Robust Feature Selection Using Rough Set-Based Ant-Lion Optimizer for Data Classification
The selection of an algorithm to tackle a certain problem is a vital undertaking that
necessitates both time and knowledge. Non-functional needs, such as the size, quality, and …
necessitates both time and knowledge. Non-functional needs, such as the size, quality, and …
Novel Adaptive Histogram Binning-Based Lesion Segmentation for Discerning Severity in COVID-19 Chest CT Scan Images
S Nivetha, HH Inbarani - International Journal of Sociotechnology …, 2023 - igi-global.com
Abstract Coronavirus sickness (COVID-19) recently adversely disrupted the medical care
system and the entire economy. Doctors, researchers, and specialists are working on new …
system and the entire economy. Doctors, researchers, and specialists are working on new …
Probabilistic method for estimating the level of reliability of solar photovoltaic systems for households in Ghana
Renewable Energy Resources have been identified among the most promising sources of
harnessing power for industrial and household consumption but their power generations …
harnessing power for industrial and household consumption but their power generations …
A Design and Implementation of a New Control Based on Petri Nets for Three Phase PWM-Rectifier
This article introduces a novel and effective diagram based on direct instantaneous power
control (DPC) of a PWM-controlled rectifier connected to the grid without a switching table …
control (DPC) of a PWM-controlled rectifier connected to the grid without a switching table …
Novel Hybrid Genetic Arithmetic Optimization for Feature Selection and Classification of Pulmonary Disease Images
S Nivetha, HH Inbarani - International Journal of Sociotechnology …, 2023 - igi-global.com
The difficulty in predicting early cancer is due to the lack of early illness indicators.
Metaheuristic approaches are a family of algorithms that seek to find the optimal values for …
Metaheuristic approaches are a family of algorithms that seek to find the optimal values for …