Parameter identification of PV solar cells and modules using bio dynamics grasshopper optimization algorithm حسب Mostafa Jabari (21841727)

Teaching–learning-based optimization algorithm: analysis study and its application حسب Abualigah, Laith

"…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …"
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Fuzzy simulated evolution algorithm for VLSI cell placement حسب Sait, Sadiq M.

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Design and implementation of a deep learning-empowered m-Health application حسب Akhan Akbulut (17380285)

A parallel tabu search algorithm for VLSI standard-cell placement حسب Suit, S.M.

"…In this work, tabu search placement algorithm is parallelized on a network of workstations using PVM. …"
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Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV حسب Zulkifli, Muhammad

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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network حسب Mohammad Reza Chalak Qazani (13893261)

"…Computational techniques, like the finite element method, are used to analyse behaviours based on varied input parameters. …"

A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators حسب Al-Hamouz, Z.M.

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Genetic Algorithm Control Strategy for Heat Pump System in Battery Electric Buses حسب Al Haddad, Rabih

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Performance driven standard-cell placement using the geneticalgorithm حسب Youssef, H.

"…In this paper we present a timing-driven placer for standard-cell IC design. The placement algorithm follows the genetic paradigm. …"
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High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm حسب Badreddine Kanouni (23073244)

On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

الموضوعات: "…Nature-inspired optimization algorithms…"

DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins حسب Samir Brahim, Belhaouari

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LDSVM: Leukemia Cancer Classification Using Machine Learning حسب Abdul Karim (417009)

"…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …"

Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices حسب Khawam, Yahya Bader

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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

"…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. A novel MH optimization algorithm, called arithmetic optimization algorithm (AOA), was proposed to address complex optimization tasks. …"

Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars حسب Abathar Al-Hamrani (16494884)

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Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique حسب J. Jayapradha (21323774)

Design of adaptive arrays based on element position perturbations حسب Dawoud, M.M.

"…The authors report on the design of a digital feedback control system to provide null steering by controlling the array element positions automatically. The array comprises a signal processor, digital control algorithm (PID), stepper motors, shaft encoders, actuators and multiplexers. …"
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Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods حسب Sivakavi Naga Venkata Bramareswara Rao (15944992)

"…Thus, to identify the best load forecasting method in cluster microgrids, this article implements a variety of machine learning algorithms, including linear regression (quadratic), support vector machines, long short-term memory, and artificial neural networks (ANN) to forecast the load demand in the short term. …"