Search Results - (( model innovation due algorithm ) OR ( based optimization based algorithm ))*

Perovskite lattice constant prediction framework using optimized artificial neural network and fuzzy logic models by metaheuristic algorithms by Bouzateur, Inas, Ouali, Mohammed Assam, Bennacer, Hamza, Ladjal, Mohamed, Khmaissia, Fadoua, Rahman, Mohd Amiruddin Abd, Boukortt, Abdelkader

“…The identification of optimized parameters for the ANN and fuzzy logic models is accomplished using innovative metaheuristic algorithms such as, Particle Swarm Optimization (PSO), Invasive Weed Optimization (IWO) and Imperialist Competitive Algorithm (ICA). …”
Get full text
Get full text

A trade-off criterion for bi-objective problem in solving hybrid flow shop scheduling with energy efficient (EE-HFS) using multi-objective dragonfly algorithm (MODA) by Muhammad Ammar, Nik Mu’tasim, Mohd Fadzil Faisae, Ab Rashid

“…The optimization result was compared with well-established algorithms, the Pareto Envelope-based Selection Algorithm II (PESA2), Multi-Objective Evolutionary Algorithm Based on Decomposition (MOEA/D), and new algorithms, Multi-Objective Grasshopper Optimization Algorithm (MOGOA) and Multi-Objective Ant Lion Optimizer (MOALO). …”
Get full text
Get full text
Get full text

Enhancing hyperparameters of LSTM network models through genetic algorithm for virtual learning environment prediction by Ismanto, Edi, Ab Ghani, Hadhrami, Md Saleh, Nurul Izrin

“…Genetic algorithms for hyperparameter optimization significantly contributed, with the GA + LSTM + ADAGRAD model achieving 88% and 87% accuracy in the 7th and 9th models for BBB course data. …”
Get full text
Get full text
Get full text

Process Planning Optimization In Reconfigurable Manufacturing Systems by Musharavati, Farayi

“…On the other hand, process planning optimization for reconfigurable manufacturing is not amenable to classical modeling approaches due to the presence of complex system dynamics. …”
Get full text
Get full text

Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization by M. F. F., Ab Rashid, Ahmad Nasser, Mohd Rose, N. M. Zuki, N. M.

“…Based on the optimization results, the MFO outperformed other comparison algorithms for the mean fitness and also the best fitness. …”
Get full text
Get full text
Get full text
Get full text

An inclusive multiple model for predicting total sediment transport rate in the presence of coastal vegetation cover based on optimized kernel extreme learning models by Jalil-Masir H., Fattahi R., Ghanbari-Adivi E., Asadi Aghbolaghi M., Ehteram M., Ahmed A.N., El-Shafie A.

Autonomous flight algorithm of a quadcopter sensing system for methane gas concentration measurements at landfill site by Bashi, Omar Ibrahim Dallal

“…This algorithm was proposed in this thesis based on a special mathematical calculation model, which has the ability to decide the spacing between adjacent straight-line trajectories within a user defined area, this prevents the quadcopter from crashing during the survey due to reasons of overcapability. …”
Get full text
Get full text

Optimized techniques for landslide detection and characteristics using LiDAR data by Mezaal, Mustafa Ridha

“…Also, six techniques: Ant Colony Optimization (ACO), Gain Ratio (GR), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), Random forest (RF), and Correlation-based Feature Selection (CFS) were used for the feature selection. …”
Get full text
Get full text
Get full text

Weeds detection for agriculture using Convolutional Neural Network (CNN) algorithm / Khairun Nisa Mohammad Nasir by Mohammad Nasir, Khairun Nisa

“…In addition to the technological innovations in agricultural technology, this CNN-based weed detection system proves to be a reliable resource for agriculturalists. …”
Get full text
Get full text

Simulated real-time controller for tuning algorithm using modified hill climbing approach by Ahmed, Ahmed Abdulelah

“…That led to new ways to tackle old problems like model inaccuracies and inconsistencies. Often, it is necessary to calibrate a certain parameters of a control system due to plant parameters fluctuation over time.In this research, an intelligent algorithmic tuning technique suitable for realtime system tuning based on hill climbing optimization algorithm and model reference adaptive control system (MRAC) technique is proposed. …”
Get full text
Get full text

Model-based hybrid variational level set method applied to object detection in grey scale images by Wang, Jing

“…Additionally, the thesis proposes an innovative active contour model called CER, which intelligently combines elements from the Chan-Vese (CV) model and the Region-Scalable Fitting (RSF) model. …”
Get full text
Get full text

Design of DNA fragment assembly using IWP method on application-specific integrated-circuit / Hasniliati Hassan by Hassan, Hasniliati

“…The key innovation is to implement DNA sequence assembly algorithms on ASIC to make it a synthesisable IP block. …”
Get full text
Get full text

Detection of Workers’ Behaviour in the Manufacturing Plant using Deep Learning by Goh, Ching Pang

“…The primary aim is to quantify human behavior based on learning rates, thereby facilitating improved production control. …”
Get full text
Get full text
Get full text
Get full text

Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome by Salari, Nader

“…Recently, the “hybrid AI-based” classification models have gained more attraction due to the inefficiency of conventional “single AI-based” models in accurate classification. …”
Get full text
Get full text
Get full text

Model Predictive Controller (MPC) Design for an UAV Quadcopter in Windy Critical Environment by Mustapha Amine, Sadi

“…This research enhances UAV navigation effectiveness and stability through the development of a robust controller—specifically, a cascade Model Predictive Control (MPC) algorithm, optimized for continuous gust conditions as modelled by the Dryden wind turbulence approach. …”
Get full text
Get full text
Get full text

Discrete wavelet packet transform for electroencephalogram-based emotion recognition in the valence-arousal space by Ahmad, Farzana Kabir, Olakunle, Oyenuga Wasiu

“…The first experiment was aimed to evaluate the performance of Discrete Wavelet Packet Transform (DWPT) in extracting relevant features, while the second experiment was conducted to identify the combination of electrode channels that optimally recognize emotions based on the valence-arousal model. …”
Get full text
Get full text
Get full text

Reactive Power Compensation for Standalone Hybrid Power System Using Facts Devices by R., Rajasree, D., Lakshmi, Stalin, K., R., Karthickmanoj

“…A FACTS device Unified Power Quality controller (UPQC) with a Genetic Algorithm based PI controller is suggested to handle these power quality issues. …”
Get full text
Get full text
Get full text
Get full text

Opposition-based Whale Optimization Algorithm by Alamri, Hammoudeh S., Alsariera, Yazan A., Kamal Z., Zamli

“…In order to improve solution accuracy and reliability, this paper proposes a new algorithm based on WOA. The new algorithm called Opposition-based Whale Optimization (OWOA). …”
Get full text
Get full text
Get full text

Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems by Din, Fakhrud, Khalid, Shah, Fayaz, Muhammad, Gwak, Jeonghwan, Kamal Z., Zamli, Mashwani, Wali Khan

“…To overcome these drawbacks and to achieve an appropriate percentage of exploitation and exploration, this study presents a new modified teaching learning-based optimization algorithm called the fuzzy adaptive teaching learning-based optimization algorithm. …”
Get full text
Get full text
Get full text

Rule-Based Multi-State Gravitational Search Algorithm for Discrete Optimization Problem by Ismail, Ibrahim, Zuwairie, Ibrahim, Zulkifli, Md. Yusof

“…In this study, rule-based multi-state gravitational search algorithm (RBMSGSA) algorithm is proposed to solve discrete combinatorial optimization problems. …”
Get full text
Get full text
Get full text
Get full text