Search Results - (( using factor utilizing algorithm ) OR ( evolution optimization svm algorithm ))
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1
Improved whale optimization algorithm for feature selection in Arabic sentiment analysis
Published 2019“…In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. Whale Optimization Algorithm (WOA) is one of the recent metaheuristic optimization algorithm that mimics the whale hunting mechanism. …”
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2
Time series predictive analysis based on hybridization of meta-heuristic algorithms
Published 2018“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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3
Classification with degree of importance of attributes for stock market data mining
Published 2004“…Alan Fan et aI., [2] use Support Vector Machine (SVM) to stock market prediction. The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
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4
Time series predictive analysis based on hybridization of meta-heuristic algorithms
Published 2018“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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5
Stock market turning points rule-based prediction / Lersak Photong … [et al.]
Published 2021“…Finally, rule-based optimisation techniques such as Particle Swarm Optimization (PSO), Differential Evolution (DE) and Grey Wolf Optimizer (GWO) were used to minimise the amount of time employed in the stock market turning points prediction. …”
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Book Section -
6
Predicting factor of online purchasing behaviour among university students in UiTMCT / Mohd Fadzlee Mazlan
Published 2022“…Several prediction rules already been produced with high interestingness by using K-Mean clustering algorithm and Random Tree algorithm. …”
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Student Project -
7
Workload utilization dissemination on grid resources for simulation environment
Published 2013“…A combination of these factors will help in developing an optimized scheduling or load balancing algorithm.…”
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Conference or Workshop Item -
8
Three-term backpropagation algorithm for classification problem
Published 2006“…This algorithm utilizes two term parameters which are Learning Rate, α and Momentum Factor,β. …”
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Thesis -
9
Optimal loading analysis with penalty factors for generators using brute force method
Published 2022“…This paper reports the optimal loading analysis method using the Brute Force method with and without considering the penalty factor of power line loss. …”
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10
Modification of the ant colony optimization algorithm for solving multi-agent task allocation problem in agricultural application
Published 2024“…The performance of the basic ACO algorithm for solving task allocation is improved by modifying the efficiency factor. …”
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Parallel metaheuristic algorithm for route planning using CUDA
Published 2025“…This research will be focusing on developing a Parallel Metaheuristic Algorithm for Route Planning using CUDA to improve the efficiency and performance of route planning. …”
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Final Year Project / Dissertation / Thesis -
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Comparison of CPU damage prediction accuracy between certainty factor and forward chaining techniques
Published 2024“…The suggested algorithm yields the mean accuracy of the certainty factor approach in diagnosing computer damage utilizing the constructed system. …”
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Temporal integration based factorization to improve prediction accuracy of collaborative filtering
Published 2016“…The existing temporal-based factorization approaches used the long-term preferences and the short-term preferences. …”
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Thesis -
14
Dynamic modelling of proton exchange membrane fuel cell system for electric bicycle / Azadeh Kheirandish
Published 2016“…Recent models provide high accuracies using complex systems and complicated calculations using advanced optimization algorithms. …”
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Design of intelligent Qira’at identification algorithm
Published 2017“…To evaluate the algorithm, 350 samples for 10 types of Qira’at recitation are in used, and for justifying the best pattern classification, few algorithms are tested in the early preliminary evaluation with K-Nearest Neighbour, GMM and PPCA. …”
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Thesis -
17
Stereo Matching Algorithm Based On Per Pixel Difference Adjustment, Iterative Guided Filter And Graph Segmentation
Published 2017“…Therefore, this paper proposes an improved algorithm to overcome these limitations. First, the proposed algorithm utilizes per-pixel difference adjustment for AD and gradient matching to reduce the radiometric distortions. …”
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Predicting Customer Behaviour on Buying Life Insurance using Machine Learning
Published 2026journal::journal article -
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Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…In recent years soft computing methods like fuzzy logic and genetic algorithm are being used in modeling complex processes of hydrologic events. …”
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20
A new hybrid online and offline multi-factor cross-domain authentication method for IoT applications in the automotive industry
Published 2021“…The proposed scheme uses the AES-ECC algorithm to provide secure communication and efficient key management. …”
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