Hybrid input sha** and fuzzy logic‐based position and oscillation control of tower crane system
Effective control of the tower crane system (TCS) is crucial for the safe and quick transport of
goods from one point to another in industries and construction sites. However, the existing …
goods from one point to another in industries and construction sites. However, the existing …
Particle swarm optimization with modified initialization scheme for numerical optimization
Particle swarm optimization (PSO) is a popular optimization algorithm due to its desirable
characteristics of fast convergence and easy implementation. Conventional PSO with poor …
characteristics of fast convergence and easy implementation. Conventional PSO with poor …
Optimal Gantry Crane PID Controller Based on LQR With Prescribed Degree of Stability by Means of GA, PSO, and SA
S Bandong, RC Kirana, YY Nazaruddin… - 2022 7th International …, 2022 - ieeexplore.ieee.org
Trade between islands and countries is increasing in the current era of globalization which
also increases the traffic of goods at ports. Rubber Tyred Gantry Crane (RTGC) is an …
also increases the traffic of goods at ports. Rubber Tyred Gantry Crane (RTGC) is an …
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 …
eliminating noisy, unreliable, and unnecessary data without affecting the classification …
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 …
unwanted, noisy and inconsistent data while maintaining classification accuracy. Most …
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 …
its excellent capability of solving complex real-world optimization problems without …
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 …
million people. Development of automatic diagnosis software tools for rapid screening of …
[HTML][HTML] Dynamic simulation of a high altitude gantry crane with cable hoisting. Part one. 2D model
J Mostafa - Вестник МГСУ, 2021 - cyberleninka.ru
Introduction. Simulation of the 2D dynamic motion of a high altitude wide span gantry crane
with a rope hoisting mechanism is addressed. Such large gantry cranes with a height of …
with a rope hoisting mechanism is addressed. Such large gantry cranes with a height of …
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 …
necessitates the development of automated diagnostic tools for rapid screening using …
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 …
features in raw input datasets without compromising classifier accuracy. Integrating …