Search Results - "Almotairi, Khaled H"
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MiRNA subset selection for microarray data classification using grey wolf optimizer and evolutionary population dynamics
Published in Neural computing & applications (01-09-2023)“…Micro-ribonucleic acids (miRNAs) are tiny noncoding ribonucleic acid (RNA) molecules that involve various biological processes for cancer advancements…”
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Hybrid Reptile Search Algorithm and Remora Optimization Algorithm for Optimization Tasks and Data Clustering
Published in Symmetry (Basel) (01-03-2022)“…Data clustering is a complex data mining problem that clusters a massive amount of data objects into a predefined number of clusters; in other words, it finds…”
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Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques
Published in Energies (Basel) (01-01-2022)“…Nowadays, learning-based modeling methods are utilized to build a precise forecast model for renewable power sources. Computational Intelligence (CI)…”
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A Normal Distributed Dwarf Mongoose Optimization Algorithm for Global Optimization and Data Clustering Applications
Published in Symmetry (Basel) (01-05-2022)“…As data volumes have increased and difficulty in tackling vast and complicated problems has emerged, the need for innovative and intelligent solutions to…”
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Towards partial autonomy of operation and maintenance of unreliable equipment
Published in Heliyon (01-09-2023)“…This study considers the case of unreliable equipment subjected to random failures that induce high maintenance and environmental costs. We consider situations…”
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Auto-detection of the coronavirus disease by using deep convolutional neural networks and X-ray photographs
Published in Scientific reports (04-01-2024)“…The most widely used method for detecting Coronavirus Disease 2019 (COVID-19) is real-time polymerase chain reaction. However, this method has several…”
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Impact of Artificial Intelligence on COVID-19 Pandemic: A Survey of Image Processing, Tracking of Disease, Prediction of Outcomes, and Computational Medicine
Published in Big data and cognitive computing (01-01-2023)“…Integrating machine learning technologies into artificial intelligence (AI) is at the forefront of the scientific and technological tools employed to combat…”
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Effects of Meteorological Parameters on Surface Water Loss in Burdur Lake, Turkey over 34 Years Landsat Google Earth Engine Time-Series
Published in Land (Basel) (01-12-2021)“…The current work aims to examine the effect of meteorological parameters as well as the temporal variation on the Burdur Lake surface water body areas in…”
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An improved multipath video data communication in a vehicular delay-tolerant network
Published in PloS one (16-09-2022)“…A vehicular network offers diverse beneficial services related to video streaming in different types of setups, including rural and urban. Some of the recent…”
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Gene Selection for High-Dimensional Imbalanced Biomedical Data Based on Marine Predators Algorithm and Evolutionary Population Dynamics
Published in Arabian journal for science and engineering (2011) (01-03-2024)“…Searching for robust and discriminative features is challenging because of the high-dimensional characteristics of features. Although numerous…”
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Improved reptile search algorithm with novel mean transition mechanism for constrained industrial engineering problems
Published in Neural computing & applications (01-10-2022)“…Engineering designs are common industrial optimization problems that need an efficient method to determine the parameters of the problems. This paper proposes…”
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Multilevel thresholding image segmentation using meta-heuristic optimization algorithms: comparative analysis, open challenges and new trends
Published in Applied intelligence (Dordrecht, Netherlands) (01-05-2023)“…This paper studied the multilevel threshold image segmentation-based metaheuristics optimization methods and their applications. Image segmentation is a common…”
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Dynamic evolutionary data and text document clustering approach using improved Aquila optimizer based arithmetic optimization algorithm and differential evolution
Published in Neural computing & applications (01-12-2022)“…Data and text clustering are popular and frequently used in the data mining domain, mainly to deal with big data analytics. The main problem in these…”
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14
Hybrid adaptive method for lane detection of degraded road surface condition
Published in Journal of King Saud University. Computer and information sciences (01-09-2022)“…Lane detection on roads is essential for autonomous vehicles. Most previous studies detected the area of the road and all possible lanes built on it, whereas…”
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Enhancement Method for Color Retinal Fundus Images Based on Structural Details and Illumination Improvements
Published in Arabian journal for science and engineering (2011) (2021)“…Retinal images show an essential role in Ophthalmology to diagnosis wide set of diseases. In this direction, using retinal images in computerized techniques…”
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STC: Spatial and Temporal Clustering for Cooperative Perception System
Published in IEEE transactions on vehicular technology (01-08-2024)“…Transportation safety is a very important concern for many decision-makers. Not only does it aim at preventing vehicle accidents, but also saves the lives of…”
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Efficient text document clustering approach using multi-search Arithmetic Optimization Algorithm
Published in Knowledge-based systems (19-07-2022)“…Text document clustering is to divide textual contents into clusters or groups. It received wide attention due to the vast amount of daily data from the Web…”
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Privacy-Preserving Federated-Learning-Based Net-Energy Forecasting
Published in SoutheastCon 2022 (26-03-2022)“…Energy forecasting not only enables infrastructure planning and power dispatching but also reduces power outages and equipment failures. To preserve the…”
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Conference Proceeding -
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Kidney Tumor Detection and Classification Based on Deep Learning Approaches: A New Dataset in CT Scans
Published in Journal of healthcare engineering (2022)“…Kidney tumor (KT) is one of the diseases that have affected our society and is the seventh most common tumor in both men and women worldwide. The early…”
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A Modified Gorilla Troops Optimizer for Global Optimization Problem
Published in Applied sciences (01-10-2022)“…The Gorilla Troops Optimizer (GTO) is a novel Metaheuristic Algorithm that was proposed in 2021. Its design was inspired by the lifestyle characteristics of…”
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