Search Results - (( developing visualization swarm algorithm ) OR ( java application optimisation algorithm ))

Path planning for visually impaired people in an unfamiliar environment using particle swarm optimization by Yusof, T. S. T., Toha, Siti Fauziah, Md. Yusof, Hazlina

“…Results from this paper will be used further to explore the potential development of path guidance system for the visually impaired people by allowing them to travel independently in an unfamiliar environment. …”
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Particle swarm optimization (PSO) for CNC route problem by Nur Azia Azwani, Ismail

“…The algorithm used in this project is the Global Best (gbest) algorithm where it is a basic algorithm of Particle Swarm Optimization which applicable the shortest time and path of CNC machine to complete the process of drilling. …”
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Particle swarm optimization approach in route navigation for PoSVI-Cane by Toha, Siti Fauziah, Nordin, Nor Hidayati Diyana, Md. Zain, Mohd Zarhamdy

“…Therefore, this paper presents the development of a low-cost navigation device – White Cane with Positioning Solution for Visually Impaired (PoSVI-Cane) that can assist those who are visually impaired to travel confidently, even with unfamiliar routes. …”
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Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm by Wagiman, Khairul Rijal, Md Adnan, Mohd Faiz, Hussin, Imran, Md Nor, Mohd Hairwan, Din, Asri

“…Therefore, this paper developed particle swarm optimization (PSO) and firefly algorithm (FA) as control techniques for lighting systems to improve energy efficiency and satisfy occupantsꞌ visual comfort in an indoor environment. …”
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Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm by Wagiman, Khairul Rijal, Md Adnan, Mohd Faiz, Hussin, Imran, Md Nor, Mohd Hairwan, Din, Asri

“…Therefore, this paper developed particle swarm optimization (PSO) and firefly algorithm (FA) as control techniques for lighting systems to improve energy efficiency and satisfy occupantsꞌ visual comfort in an indoor environment. …”
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Daylight-adaptive lighting control techniques: a comparative analysis of particle swarm optimization and firefly algorithm by Wagiman, Khairul Rijal, Md Adnan, Mohd Faiz, Hussin, Imran, Md Nor, Mohd Hairwan, Din, Asri

“…Therefore, this paper developed particle swarm optimization (PSO) and firefly algorithm (FA) as control techniques for lighting systems to improve energy efficiency and satisfy occupantsꞌ visual comfort in an indoor environment. …”
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Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid. by Abdul Khalid, Noor Elaiza

“…For this purpose, two algorithm are has been developed to automatically detect the OC and IC. …”
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The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment by Kok, Kai Yit

“…Thus, a new algorithm known as infection evolution (IE) was developed in this study. …”
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Hardware Software Partitioning Using Particle Swarm Optimization (PSO) In Image Processing Application by Tan, Jia Zheng

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Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves by Lia, Kamelia

“…In the next phase, the datasets are optimized using the Salp Swarm Algorithm (SSA), which improves classification accuracy. …”
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EEG classification using radial basis PSO neural network for brain machine interfaces by Paulraj, Murugesapandian, Hema, Chengalvarayan Radhakrishnamurthy, Ramachandran, Nagarajan, Sazali, Yaacob, Abdul Hamid, Adom

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3D virtual modelling and stabilization control of triple links inverted pendulum on two-wheeled system using enhanced interval type-2 fuzzy logic control by Muhammad Firdaus, Masrom

“…Two optimization algorithms are presented in this work which are Spiral Dynamic Algorithm (SDA) and Particle Swarm Optimization (PSO). …”
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Comparative Performance Analysis of Bat Algorithm and Bacterial Foraging Optimization Algorithm using Standard Benchmark Functions by Mazlina, Abdul Majid, Alsariera, Yazan A., Alamri, Hammoudeh S., Nasser, Abdullah M., Kamal Z., Zamli

“…Over the last 30 years, many meta-heuristic algorithms have been developed in the literature including that of Simulated Annealing (SA), Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Harmony Search Algorithm (HS) to name a few. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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STATISTICAL FEATURE LEARNING THROUGH ENHANCED DELAUNAY CLUSTERING AND ENSEMBLE CLASSIFIERS FOR SKIN LESION SEGMENTATION AND CLASSIFICATION by Adil H., Khan, Dayang Nurfatimah, Awang Iskandar, Jawad F., Al-Asad, SAMIR, EL-NAKLA, SADIQ A., ALHUWAIDI

“…A profound algorithm comprising of preprocessing in CIELAB color space and Delaunay triangulation based clustering along with Particle Swarm Optimization (PSO) is proposed for the segmentation. …”
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In silico approaches for unearthing bacterial quorum-sensing inhibitors against pathogenic bacteria by Pawar, Shrikant, Bramha Chari, P. V., Lahiri, Chandrajit *

“…Thus, certain group of researchers also developed machine learning tools based on support vector machine (SVM) and hidden Markov models (HMM) for the identification of novel and effective biofilm inhibitory peptides (BIPs), while others used in silico approaches for predicting and designing of antibiofilm peptides usingbidirectional recursive neural network (BRNN) and Random Forest (RF) algorithms. …”
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