An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection حسب Abu Zitar, Raed

"…In this paper, a recent swarm intelligence metaheuristic method called RSO which is inspired by the social and hunting behavior of a group of rats is enhanced and explored for FS problems. The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …"

Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm حسب Abu Zitar, Raed

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A Highly Efficient And Automated Approach To Identifying And Classifying Urban Traffic Images Using Self Organizing Maps and Artificial Intelligence. (c2006) حسب Bey, Hisham Mardam

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Recent Advances of Chimp Optimization Algorithm: Variants and Applications حسب Daoud, Mohammad Sh.

"…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …"
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Spider monkey optimizations: application review and results حسب Abualigah, Laith

"…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …"
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Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... حسب Mohamed, AlShuweihi

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Artificial intelligence-based methods for fusion of electronic health records and imaging data حسب Farida Mohsen (16994682)

"…<div><p>Healthcare data are inherently multimodal, including electronic health records (EHR), medical images, and multi-omics data. …"

Multiclass feature selection with metaheuristic optimization algorithms: a review حسب Abu Zitar, Raed

"…Metaheuristic algorithms have also been presented in four primary behavior-based categories, i.e., evolutionary-based, swarm-intelligence-based, physics-based, and human-based, even though some literature works presented more categorization. …"
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Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images حسب Ahila A (18394806)

"…The main novelty of this work is the computer-aided diagnosis scheme for detecting abnormalities in breast ultrasound images by integrating a wavelet neural network (WNN) and the grey wolf optimization (GWO) algorithm. …"

Digital Image Watermarking Using Balanced Multiwavelets حسب Ghouti, L.

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A new genetic algorithm approach for unit commitment حسب Mantawy, A.H.

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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms حسب Marwan Dhuheir (19170898)

"…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. …"

Learning-Based Automatic Modulation Classification حسب Abdelmutalab, Ameen Elsiddig

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Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles حسب Wadi, Ali

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Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management حسب Alhusin, Mohammed Omer Alamin

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Design and analysis of entropy-constrained reflected residual vector quantization حسب Mousa, W.A.H.

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A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns حسب Md Ferdous Wahid (13485799)

"…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …"

A method for data path synthesis using neural networks حسب Harmanani, H.

"…The proposed algorithm has a running time complexity of O(1) for a neural network with n vertices and c cliques. …"
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From Collatz Conjecture to chaos and hash function حسب Masrat Rasool (17807813)

"…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …"

Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter حسب Yahia, Mohamed

"…The recent advancement in synthetic aperture radar (SAR) technology has enabled high-resolution imaging capability that calls for efficient speckle filtering algorithms to preprocess radar imagery. …"
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