Search Results - (( developing world extraction algorithm ) OR ( java implication based algorithm ))
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Developing stereo vision system for object recognition and positioning of AMAD-R mobile robot
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Working Paper -
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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Recently, several effective supervised and unsupervised machine learning methods have been developed in the domain of topics extraction. However, less works have been conducted in applying multiobjective based algorithm for topic extraction. …”
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Feature extraction using active appearance model algorithm with Bayesian classification approach
Published 2013“…Face recognition is one of the most important and rapidly advanced active research areas of computer science.In spite of the large number of developed algorithms, real-world performance of face recognition has been disappointing. …”
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Face recognition using PZMI, ANN and Ant colony algorithms / Milad Miri
Published 2018“…Algorithms developed for face recognition are tightly related to the rate of extracted face features. …”
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Thesis -
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Optimised content-social based features for fake news detection in social media using text clustering approach
Published 2025“…Ultimately, this research concludes that the developed fake news detection model based on the designed content-social-based features can effectively detect fake news in real-world news…”
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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Recently, several effective supervised and unsupervised machine learning methods have been developed in the domain of topics extraction. However, less works have been conducted in applying multiobjective based algorithm for topic extraction. …”
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Development of an intelligent multimodal biometric system for household appliances control
Published 2012“…In the first phase, individual biometrics recognition algorithms were developed for each biometrics feature. …”
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Monograph -
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Content words extraction using Malay text document / Nurfarahidayu Samshudin
Published 2011“…The research proposes an algorithm that will automatically extract the Malay documents to improve access to information. …”
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Thesis -
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Road condition assessment by OBIA and feature selection techniques using very high-resolution WorldView-2 imagery
Published 2016“…Accurate information on the conditions of road asphalt is necessary for economic development and transportation management. In this study, object-based image analysis (OBIA) rule-sets are proposed based on feature selection technique to extract road asphalt conditions (good and poor) using WorldView-2 (WV-2) satellite data. …”
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Segmenting nodules of lung tomography image with level set algorithm and neural network
Published 2019“…The aim of this research is to develop an image segmentation algorithm for nodule detection in computed tomography (CT) image. …”
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Proceedings -
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Optimizing the efficiency of Oscillating Water Column (OWC) wave energy converter using genetic algorithm
Published 2015“…The Oscillating Water Column (OWC) based wave energy converter has now been developed in different part of the world. The OWC converter is a combination of pneumatic system, mechanical system and electrical system. …”
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A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani
Published 2016“…Many researchers, who have developed methods and algorithms within the field of artificial intelligence, machine learning and data mining, have addressed extracting useful information from the data. …”
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Sentiment mining using immune network algorithm /Raja Muhammad Hafiz Raja Kamarudin
Published 2012“…However, this is a step stone towards developing a biological-inspired Sentiment Mining algorithm…”
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Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam
Published 2017“…Real-time video is taken by a digital camera from a moving vehicle and real-world road signs are then extracted using vision-only information. …”
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Short-Term Electricity Price Forecasting via Hybrid Backtracking Search Algorithm and ANFIS Approach
Published 2019“…A multi-objective feature selection approach comprises of multi-objective binary-valued backtracking search algorithm (MOBBSA) as an efficient evolutionary search algorithm and ANFIS method is developed in this paper to extract the most influential subsets of input variables with maximum relevancy and minimum redundancy. …”
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PV fault classification: Impact on accuracy performance using feature extraction in random-forest cross validation algorithm
Published 2024“…As the adoption of solar PV systems continues to surge, the need for robust fault diagnosis and classification techniques becomes paramount to ensure optimal performance, maintenance and scalability across diverse scales of PV arrays in real-world applications. This paper introduces a Solar PV Smart Fault Diagnosis and Classification (SFDC) model that harnesses the Random Forest (RF) algorithm in conjunction with Cross-Validation (CV) and an optimized feature extraction (FE) set. …”
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