Search Results - (( evolution classification mining algorithm ) OR ( knowledge implementation during algorithm ))
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1
Classification of Immunosignature Using Random Forests for Cancer Diagnosis
Published 2015“…To attain this essential research purpose, a minimum set of genes that can assure higher performance in classification using data mining algorithms need to be detected. …”
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Proceeding Paper -
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Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…The proposed algorithm is grounded on the two famous metaheuristic algorithms: cuckoo search (CS) and covariance matrix adaptation evolution strategy (CMA-es). …”
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Classification with degree of importance of attributes for stock market data mining
Published 2004“…The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
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Y-type Random 2-satisfiability In Discrete Hopfield Neural Network
Published 2024“…Additionally, the proposed Hybrid Differential Evolution Algorithm was implemented into the training phase to ensure that the cost function of the Discrete Hopfield Neural Network is minimized. …”
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Logic mining method via hybrid discrete hopfield neural network
Published 2025“…Despite the success, the limitations of existing logic mining methods are often overlooked, hindering the search for optimal solutions in binary classification tasks. …”
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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7
Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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Application of data mining techniques for economic evaluation of air pollution impact and control
Published 2007“…For that purpose, we use data mining techniques. Data mining techniques applied in this thesis were: 1) Group method of data handling (GMDH), originally from engineering, introducing principles of evolution - inheritance, mutation and selection - for generating a network structure systematically to develop the automatic model, synthesis, and its validation; 2) The weighted least square (WLS) and step wise regression were also applied for some cases; 3) The classification-based association rules were applied. …”
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9
Improved autonomous charging of mobile multi-robots using honeybee-inspired algorithm
Published 2016“…The dynamic threshold of remaining energy was activated when the mobile robot has knowledge of charging station. The improved honeybee inspired algorithm showed that the mobile robot could increase working time efficiency from 37% to 95%. …”
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10
Information retrieval with comparing two matching algorithms: A thesis supervisor system case study / Siti Nurhanis Mohd Shekri
Published 2014“…This subject will improve the skills and knowledge of students during their studies at the university. …”
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11
Semantic analysis system by using latent semantic analysis (LSA) algorithm on khutbah texts / Ammar Zuber
Published 2019“…As nowadays, some muslims attend the Friday Prayers just to obey God instruction instead of willingly come to gain new knowledge. This is where the khutbah texts needs to have a certain level of quality and also new knowledge to ensure muslims does not go back home empty-handed. …”
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12
Development of dynamic programming algorithm for maintenance scheduling problem
Published 2020“…Then, the data of the maintenance team from one of the utilities provider company in Malaysia was collected to be implemented in the development of a dynamic programming algorithm. …”
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13
Logic Mining Approach: Shoppers’ Purchasing Data Extraction via Evolutionary Algorithm
Published 2023“…In reducing the learning complexity, a genetic algorithm was implemented to optimize the logical rule throughout the learning phase in performing a 2-satisfiability-based reverse analysis method, implemented during the learning phase as this method was compared. …”
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Article -
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Optimization of neural network architecture using genetic algorithm for load forecasting
Published 2014“…In this paper, a computational intelligent technique genetic algorithm (GA) is implemented for the optimization of artificial neural network (ANN) architecture. …”
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Conference or Workshop Item -
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Implementing Station-to-Station protocol using Multi Prime RSA Cryptosystem / Muhammad Arif Musa Abdullah
Published 2023“…The result will also produce the algorithm for implementing Multi Prime RSA cryptosystem into Station-to-Station protocol. …”
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Student Project -
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Implementation of case-based reasoning in help desk system
Published 2019“…Besides of time consuming when solving customers’ problem, the personnel also faced inherently knowledge problem during help desk operation and difficulty in assessing abundant case data without a systematic system. …”
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Undergraduates Project Papers -
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Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line
Published 2020“…The hybrid Wavelet Multiresolution Analysis and Machine learning algorithm (WMRA-ML) is used to extracts the useful hidden knowledge from decomposed one-cycle fault transient signals (voltage & current) from four Matlab/Simulink CIGRE models. …”
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18
An augmented reality real-time cloud-based remote monitoring algorithm for a manufacturing system / Siti Aisyah Jaafar
Published 2021“…Thus, resulting in the efficiency of the novel AR-IoT remote monitoring algorithm. This research contributes to existing knowledge of AR-IoT onto the growing area of research scopes by exploring more usage of AR and IoT for remote manufacturing monitoring.…”
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