Search Results - "Al‐Betar, Mohammed Azmi"
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Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
Published in Expert systems (01-03-2022)“…COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has…”
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Predicting crystallite size of Mg-Ti-SiC nanocomposites using an adaptive neuro-fuzzy inference system model modified by termite life cycle optimizer
Published in Alexandria engineering journal (01-12-2023)“…In this study, Mg-Ti-SiC composite powders with varied micron and nano silicon carbide (SiC) particle sizes were fabricated utilizing the ball milling…”
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Cognitively Enhanced Versions of Capuchin Search Algorithm for Feature Selection in Medical Diagnosis: a COVID-19 Case Study
Published in Cognitive computation (01-11-2023)“…Feature selection (FS) is a crucial area of cognitive computation that demands further studies. It has recently received a lot of attention from researchers…”
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A survey of techniques for architecting SLC/MLC/TLC hybrid Flash memory–based SSDs
Published in Concurrency and computation (10-07-2018)“…Summary Flash memory–based solid‐state drives (SSDs) offer several attractive features and benefits compared to hard disk drive (HDD), such as shock resistance…”
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Digital twins in healthcare: Applications, technologies, simulations, and future trends
Published in Wiley interdisciplinary reviews. Data mining and knowledge discovery (01-11-2024)“…The healthcare industry has witnessed significant interest in applying DTs (DTs), due to technological advancements. DTs are virtual replicas of physical…”
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A Modified Bonobo Optimizer With Its Application in Solving Engineering Design Problems
Published in IEEE access (2024)“…This paper presents a modified bonobo optimizer (MBO) that integrates the Gaussian local mutation, restart strategy, and random contraction strategy into the…”
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Hybrid intelligent water Drops algorithm for examination timetabling problem
Published in Journal of King Saud University. Computer and information sciences (01-09-2022)“…The current study investigates the Intelligent Water Drops (IWD) metaheuristic algorithm to construct and produce good quality solutions for the university…”
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White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems
Published in Knowledge-based systems (11-05-2022)“…This paper presents a novel meta-heuristic algorithm so-called White Shark Optimizer (WSO) to solve optimization problems over a continuous search space. The…”
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A TRIZ-inspired bat algorithm for gene selection in cancer classification
Published in Genomics (San Diego, Calif.) (01-01-2020)“…Gene expression data are expected to make a great contribution in the producing of efficient cancer diagnosis and prognosis. Gene expression data are coded by…”
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Island-Based Harmony Search Algorithm for Non-convex Economic Load Dispatch Problems
Published in Journal of electrical engineering & technology (01-07-2021)“…The economic load dispatch (ELD) is a crucial problem in electrical power system domain. It is tackled by managing the outputs of predefined generation units…”
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On the prediction of the mechanical properties of ultrafine grain Al-TiO2 nanocomposites using a modified long-short term memory model with beluga whale optimizer
Published in Journal of materials research and technology (01-03-2023)“…Mechanical properties of fine grain nanocomposites differ from those of conventional composites due to the in situ effect caused by the addition of…”
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EEG Signals Denoising Using Optimal Wavelet Transform Hybridized With Efficient Metaheuristic Methods
Published in IEEE access (2020)“…Background. The most common and successful technique for signal denoising with nonstationary signals, such as electroencephalogram (EEG) and electrocardiogram…”
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Healthcare scheduling in optimization context: a review
Published in Health and technology (2021)“…This paper offers a summary of the latest studies on healthcare scheduling problems including patients’ admission scheduling problem, nurse scheduling problem,…”
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A Hybrid White Shark Equilibrium Optimizer for Power Scheduling Problem Based IoT
Published in IEEE access (2022)“…The power schedule problem (PSP) is the problem of managing, controlling, and scheduling power consumption of electrical appliances/devices to operate at the…”
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A novel lossy image compression algorithm using multi-models stacked AutoEncoders
Published in Array (New York) (01-09-2023)“…The extensive use of images in many fields increased the demand for image compression algorithms to overcome the transfer bandwidth and storage limitations…”
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EEG Channel Selection Based User Identification via Improved Flower Pollination Algorithm
Published in Sensors (Basel, Switzerland) (08-03-2022)“…The electroencephalogram (EEG) introduced a massive potential for user identification. Several studies have shown that EEG provides unique features in addition…”
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Recent Advances in Grey Wolf Optimizer, its Versions and Applications: Review
Published in IEEE access (01-01-2024)“…The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm intelligence methods, drawing inspiration from the hunting behavior of wolf…”
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A hybrid Harris Hawks optimizer for economic load dispatch problems
Published in Alexandria engineering journal (01-02-2023)“…This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD)…”
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A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem
Published in Journal of King Saud University. Computer and information sciences (01-09-2022)“…Capacitated Vehicle routing problem is NP-hard scheduling problem in which the main concern is to find the best routes with minimum cost for a number of…”
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Enhanced random vector functional link based on artificial protozoa optimizer to predict wear characteristics of Cu-ZrO2 nanocomposites
Published in Results in engineering (01-12-2024)“…Owing to the absence of scientific methods for predicting nanocomposites' wear rates, a freshly updated machine learning method that uses an Artificial…”
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