Search Results - (( using qualification learning algorithm ) OR ( evolution optimization mining algorithm ))
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1
Y-type Random 2-satisfiability In Discrete Hopfield Neural Network
Published 2024“…During the retrieval phase, a new activation function and Swarm Mutation were proposed to ensure the diversity of the neuron states. The proposed algorithm and mutation mechanism showed optimal performances as compared to the existing algorithms. …”
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2
Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization. …”
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3
Seed disperser ant algorithm for optimization / Chang Wen Liang
Published 2018“…The Seed Disperser Ant Algorithm (SDAA) is developed based on the evolution or expansion process of Seed Disperser Ant (Aphaenogaster senilis) colony. …”
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4
Classification with degree of importance of attributes for stock market data mining
Published 2004“…The experimental results show that predictive FDT algorithm can generate a relatively optimal tree without much computation effort (comprehensibility), and WFPRs have a better predictive accuracy of stock market time series data. …”
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5
Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification
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6
Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan
Published 2024“…This paper proposes a sophisticated Job Position Prediction system utilizing Machine Learning algorithms and leveraging data from LinkedIn profiles. …”
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7
Successor selection for Ant Colony Optimization technique algorithm / Muhammad Iskandar Isman
Published 2017“…Selecting a successor is used subjective criteria to evaluate in higher learning of successor based on the following factors. …”
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8
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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9
Career recommender system in Malaysia using content-based filtering / Muhammad Luqman Shamsul
Published 2025“…Utilizing machine learning techniques like Term Frequency-Inverse Document Frequency (TF-IDF) and cosine similarity, the system matches users with suitable career opportunities and provides detailed insights into job prospects, qualifications, and industry trends. …”
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10
Job-Applicant matchmaking system using natural language processing
Published 2023“…This system uses natural language processing (NLP) techniques to analyse job descriptions and candidate resumes, and machine learning algorithms to recommend the most suitable candidate to a job opening, and vice versa. …”
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Final Year Project / Dissertation / Thesis
