Search Results - "Ayob, Masri"
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Genetic Algorithm Based on Natural Selection Theory for Optimization Problems
Published in Symmetry (Basel) (01-11-2020)“…The metaheuristic genetic algorithm (GA) is based on the natural selection process that falls under the umbrella category of evolutionary algorithms (EA)…”
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Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection
Published in PloS one (15-12-2020)“…The coronavirus disease (COVID-19), is an ongoing global pandemic caused by severe acute respiratory syndrome. Chest Computed Tomography (CT) is an effective…”
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Enhancing web search result clustering model based on multiview multirepresentation consensus cluster ensemble (mmcc) approach
Published in PloS one (01-01-2021)“…Existing text clustering methods utilize only one representation at a time (single view), whereas multiple views can represent documents. The multiview…”
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A harmony search algorithm for nurse rostering problems
Published in Information sciences (01-06-2013)“…► We propose a harmony search algorithm for the nurse rostering problem. ► We tested the proposed algorithm on two different benchmark datasets (real world and…”
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Solving text clustering problem using a memetic differential evolution algorithm
Published in PloS one (11-06-2020)“…The text clustering is considered as one of the most effective text document analysis methods, which is applied to cluster documents as a consequence of the…”
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A honey-bee mating optimization algorithm for educational timetabling problems
Published in European journal of operational research (01-02-2012)“…► We propose a variant of honey bee mating algorithm for timetabling problems. ► The performance of the proposed algorithm is demonstrated across two domains,…”
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Smart Root Search (SRS) in Solving Service Time–Cost Optimization in Cloud Computing Service Composition (STCOCCSC) Problems
Published in Symmetry (Basel) (01-02-2023)“…In this paper, the novel heuristic search algorithm called Smart Root Search (SRS) was examined for solving a set of different-sized service time–cost…”
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Breast cancer diagnosis using the fast learning network algorithm
Published in Frontiers in oncology (27-04-2023)“…The use of machine learning (ML) and data mining algorithms in the diagnosis of breast cancer (BC) has recently received a lot of attention. The majority of…”
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Hybrid Bird Mating Optimizer With Single-Based Algorithms for Combinatorial Optimization Problems
Published in IEEE access (2021)“…Bird mating optimizer (BMO) is a population-based metaheuristic that has been recently extended to solve combinatorial optimization problems. Even though the…”
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An improved adaptive memetic differential evolution optimization algorithms for data clustering problems
Published in PloS one (28-05-2019)“…The performance of data clustering algorithms is mainly dependent on their ability to balance between the exploration and exploitation of the search process…”
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Spoken language identification based on optimised genetic algorithm–extreme learning machine approach
Published in International journal of speech technology (01-09-2019)“…The determination and classification of a recognized spoken language based on certain contents and datasets is known as the process of language identification…”
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Bird Mating Optimizer for Combinatorial Optimization Problems
Published in IEEE access (2020)“…The bird mating optimizer is a new metaheuristic algorithm that was originally proposed to solve continuous optimization problems with a very promising…”
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13
An IoT-Based Prediction Technique for Efficient Energy Consumption in Buildings
Published in IEEE transactions on green communications and networking (01-12-2021)“…Today, there is a crucial need for precise monitoring and prediction of energy consumption at the building level using the latest technologies including…”
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Skeletal Fracture Detection with Deep Learning: A Comprehensive Review
Published in Diagnostics (Basel) (01-10-2023)“…Deep learning models have shown great promise in diagnosing skeletal fractures from X-ray images. However, challenges remain that hinder progress in this…”
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Gray wolf optimization-extreme learning machine approach for diabetic retinopathy detection
Published in Frontiers in public health (01-08-2022)“…Many works have employed Machine Learning (ML) techniques in the detection of Diabetic Retinopathy (DR), a disease that affects the human eye. However, the…”
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Unified Graph-Based Missing Label Propagation Method for Multilabel Text Classification
Published in Symmetry (Basel) (01-02-2022)“…In multilabel classification, each sample can be allocated to multiple class labels at the same time. However, one of the prominent problems of multilabel…”
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Smart Root Search (SRS): A Novel Nature-Inspired Search Algorithm
Published in Symmetry (Basel) (01-12-2020)“…In this paper, a novel heuristic search algorithm called Smart Root Search (SRS) is proposed. SRS employs intelligent foraging behavior of immature, mature and…”
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Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms
Published in Applied computational intelligence and soft computing (28-03-2022)“…Data clustering algorithms experience challenges in identifying data points that are either noise or outlier. Hence, this paper proposes an enhanced…”
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Hybrid Cuckoo Search for the Capacitated Vehicle Routing Problem
Published in Symmetry (Basel) (01-12-2020)“…Having the best solution for Vehicle Routing Problem (VRP) is still in demand. Beside, Cuckoo Search (CS) is a popular metaheuristic based on the reproductive…”
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Research Trends in the Optimization of the Master Surgery Scheduling Problem
Published in IEEE access (2022)“…The Master Surgery Scheduling Problem (MSSP) allocates operating theatre time to surgery groups such as medical specialities or surgeons, which is essential…”
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