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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A method for optimizing test bus assignment and sizing for system-on-a-chip حسب Harmanani, Haidar M.

"…Test access mechanism (TAM) is an important element of test access architectures for embedded cores and is responsible for on-chip test patterns transport from the source to the core under test to the sink. …"
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Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem حسب Mantawy, A.H.

"…This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulated annealing methods to solve the unit commitment problem. …"
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Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy حسب Raad, M.W.

"…A number of parameter estimation and digital online peak localisation algorithms are being developed, including a pulse classification technique which uses a simple peak search routine based on the smoothed first derivative method, which gave a percentage error of peak amplitude of less than 1%. …"
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Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images حسب Abu Zitar, Raed

"…The leading mathematical arithmetic operators' distributional nature is used by the AOA method. The picture histogram was used to construct the candidate solutions in the modified algorithms, which were then updated according to the algorithm's features. …"
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A method for efficient NoC test scheduling using deterministic routing حسب Harmanani, Haidar

"…The method uses a deterministic routing algorithm that minimizes test time while avoiding blocking. …"
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A simplified sliding‐mode control method for multi‐level transformerless DVR حسب Hasan Komurcugil (16388513)

"…<p dir="ltr">Here, a finite-control-set sliding-mode control (FCS-SMC) method is proposed for single-phase three-level T-type inverter-based transformerless dynamic voltage restorers (TDVRs). …"

A Modular Reconfigurable Architecture for Asymmetric and Symmetric-key Cryptographic Algorithms حسب Zaidi, Ali Mustafa

"…Numerous such algorithms have been devised, and many have found popularity in different domains. …"
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Performance Analysis of a Three-to-Five Phase Dual Matrix Converter Based on Space Vector Pulse Width Modulation حسب Khaliqur Rahman (10214098)

"…<p dir="ltr">In this paper, space vector pulse width modulation (SVPWM)-based algorithms for a five-phase open-end load fed from dual matrix converter (DMC) have been proposed. …"

Evolutionary Game-Based Battery Scheduling: A Comparative Study for Prosumers in Smart Grids حسب Anas Karaki (17947808)

"…A comprehensive comparative analysis is conducted between the proposed EGT algorithm and established methods such as centralized optimization (CO), game theory (GT), and auction-based approaches. …"

A family of minimum curvature variable-methods for unconstrained optimization. (c1998) حسب Obeid, Samir Y.

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I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams حسب Raun, Kristo

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Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization حسب Abu Zitar, Raed

"…Moreover, eight data clustering problems taken from the UCI repository were tested to verify the proposed method’s performance further. The IGOA was compared with several other proposed meta-heuristic algorithms. …"
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A time-domain algorithm for the analysis of second-harmonicgeneration in nonlinear optical structures حسب Al-Sunaidi, M. A.

"…A time-domain simulator of integrated optical structures containing second-order nonlinearities is presented. The simulation algorithm is based on nonlinear wave equations representing the propagating fields and is solved using the finite-difference time-domain method. …"

A time-domain algorithm for the analysis of second-harmonicgeneration in nonlinear optical structures حسب Alsunaidi, M.A.

"…A time-domain simulator of integrated optical structures containing second-order nonlinearities is presented. The simulation algorithm is based on nonlinear wave equations representing the propagating fields and is solved using the finite-difference time-domain method. …"
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Integrating Genetic Algorithms, Tabu Search, And Simulated Annealing For The Unit Commitment Problem حسب Montawy, A.H.

"…This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulated annealing methods to solve the unit commitment problem. …"
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Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study حسب Alaa Abd-alrazaq (17058018)

"…Our approach is based on the BERTopic topic modeling technique, which leverages transformers and class-based term frequency-inverse document frequency to create dense clusters allowing for easily interpretable topics. …"

Performance comparison of variable-stepsize IMEX SBDF methods on advection-diffusion-reaction models حسب Raed Ali Mara'Beh (17337892)

"…We develop an adaptive time-stepping and error control algorithm for VSSBDF methods up to fourth order based on a step-doubling refinement technique using estimates of the local truncation errors. …"

Performance comparison of variable-stepsize IMEX SBDF methods on advection-diffusion-reaction models حسب Raed Ali Ayesh Marabeh (21142247)

"…We develop an adaptive time-stepping and error control algorithm for VSSBDF methods up to fourth order based on a step-doubling refinement technique using estimates of the local truncation errors. …"