A Survey of cuckoo search algorithm: optimizer and new applications حسب Abualigah, Laith

"…Cuckoo search (CS) is an efficient swarm intelligence-based algorithm that has come a long way since its start in 2009. …"
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A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem حسب Mantawy, A. H.

"…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …"
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A simulated annealing algorithm for fuzzy unit commitment problem حسب Mantawy, A.H.

"…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …"
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Economic load dispatch using memetic sine cosine algorithm حسب Abu Zitar, Raed

"…SCA is a recent population based optimizer turned towards the optimal solution using a mathematical-based model based on sine and cosine trigonometric functions. …"
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An efficient method for the open-shop scheduling problem using simulated annealing حسب Harmanani, Haidar M.

"…The method is based on a simulated annealing algorithm that efficiently explores the solution space. …"
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Power Control Algorithms for Media Transmission in Remote Healthcare Systems حسب Ali Hassan Sodhro (18629392)

"…Thus, this paper first proposes a transmission power control (TPC)-based energy-efficient algorithm (EEA) for when a subject is in different postures, i.e., standing, walking, and running, in wireless body sensor networks. …"

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

"…Datasets can be classified using various methods. Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …"
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A new minimum curvator multi-step method for unconstrained optimization حسب Obeid, Samir

"…Our derivation of the new algorithm is based on determining some value of the parameter that minimizes the curvature in some chosen metric. …"
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Parameter Estimation Of Wiener-Hammerstein Models Via Genetic Algorithms حسب Emara-Shabaik, Husam

"…Numerical simulations are presented to illustrate the effectiveness of the proposed algorithm based on different input signals, and different noise-to-signal ratios of the output. …"
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Methods for system-on-chip test design, scheduling and optimization. (c2006) حسب Farah, Rana

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Dynamic Layout Planning Using a Hybrid Incremental Solution Method حسب Zouein, Pierrette

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Development of a cerebral aneurysm segmentation method to prevent sentinel hemorrhage حسب Yousra Regaya (17788964)

"…A robust brain aneurysm segmentation has the potential to prevent the blood leakage, also known as sentinel hemorrhage. Here, we present a method combining a multiresolution and a statistical approach in two dimensional domain to segment cerebral aneurysm in which the Contourlet transform (CT) extracts the image features, while the Hidden Markov Random Field with Expectation Maximization (HMRF-EM) segments the image, based on the spatial contextual constraints. …"

Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects حسب Majdi Mansouri (16869885)

"…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …"

Combinatorial method for bandwidth selection in wind speed kernel density estimation حسب El Dakkak, Omar

"…In this study, a non-parametric combinatorial method is implemented for obtaining an accurate non-parametric kernel density estimation (KDE)-based statistical model of wind speed, in which the selection of the bandwidth parameter is optimised concerning mean integrated absolute error (L 1 error ) between the true and hypothesised densities. …"
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Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems حسب Ahmad K. Sleiti (14778229)

"…Furthermore, this paper demonstrates the advantages of the developed ADL algorithm approach and DSM prediction of the DT using vector autoregressive model for anomaly detection in utility gas turbines with data from an operational power plant.…"

Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

"…Data-driven approaches, such as machine learning (ML), par ticularly deep learning (DL), have shown promising results. …"
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Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

"…Data-driven approaches, such as machine learning (ML), par ticularly deep learning (DL), have shown promising results. …"
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Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence حسب Al Rayhi, Nasser

"…One of the best algorithms in terms of the result is the Long Short Term Memory (LSTM) since it is based on recurrent neural networks which uses loop as a method to learn from heuristics data. …"
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Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles حسب Zainab Akhtar (15192184)

"…<p dir="ltr">The control and state estimation of Unmanned Aerial Vehicles (UAVs) provide significant challenges due to their complex and nonlinear dynamics, as well as uncertainties arising from factors such as sensor noise, wind gusts, and parameter fluctuations. Neural network-based methods tackle these problems by accurately approximating unknown nonlinearities through training on input-output data. …"

Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem حسب Abu Zitar, Raed

"…In particular, a new modified method based on the Arithmetic Optimization Algorithm is proposed. …"
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