Impacts of On-Grid Solar PV on Distribution Networks and Potential Solutions: A Case Study in the Region of Zahle حسب Korkmaz, Jessica

"…The siting and sizing methodology is conducted by considering five different optimization algorithms, namely the single-objective genetic algorithm (SOGA), the combined SOGA and loss sensitivity factor algorithm (SOGA-LSF), the multi-objective genetic algorithm (MOGA), the combined MOGA-LSF and the CAPADD algorithm of OpenDSS. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Topology and parameter estimation in power systems through inverter-based broadband stimulations حسب Margossian, Harag

"…Broadband stimulation signals are injected from distributed generators and their effects are measured at various locations in the grid. To process and evaluate this data, a novel aggregation method based on weighed least squares will be proposed in this study. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Modeling and Guidance of an Underactuated Autonomous Underwater Vehicle حسب Wadi, Ali H M

احصل على النص الكامل

Computation of conformal invariants حسب Mohamed M.S. Nasser (16931772)

"…The method we use is based on the boundary integral equation method developed and implemented in [1]. …"

Particle swarm optimization for multimachine power systemstabilizer design حسب Abido, A.A.

"…In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. …"
احصل على النص الكامل
احصل على النص الكامل

A fuzzy basis function network for generator excitation control حسب Abido, M.A.

"…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on generator loading conditions. The orthogonal least squares learning algorithm is developed for designing an adequate and parsimonious FBFN model. …"
احصل على النص الكامل
احصل على النص الكامل

Benchmark on a large cohort for sleep-wake classification with machine learning techniques حسب Joao Palotti (8479842)

"…However, the largest experiments conducted to date, have had only hundreds of participants. In this work, we processed the data of the recently published Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study to have both PSG and actigraphy data synchronized. …"

An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems حسب Abdel-Salam, Mahmoud

"…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. Therefore, this process can be seen as an optimization process. The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …"
احصل على النص الكامل

A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass حسب Uzma Nawaz (21980708)

"…By synthesizing findings across various data sources and model architectures, we offer critical insights into the selection of context-aware algorithms and identify key research gaps, an essential step for advancing the reliability and applicability of AI-driven seagrass conservation efforts.…"

Noise-Robust Parameter Estimation Of Linear Systems حسب Emara-Shabaik, Husam

"…In this paper, a recursive parameters stimation algorithm, which is unbiased for a wide class of measurement noise, is developed. …"
احصل على النص الكامل

Toward automatic motivator selection for autism behavior intervention therapy حسب Siyam, Nur

"…We use a Q-learning algorithm to solve the modeled problem. Our proposed solution is then implemented as a mobile application developed for special education plans coordination. …"
احصل على النص الكامل
احصل على النص الكامل

Enhancement of blocking performance in all-optical WDM networks. (c2012) حسب Joun, Carla J.

احصل على النص الكامل
احصل على النص الكامل

A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems حسب Abido, M.A.

"…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on machine loading conditions. The orthogonal least squares (OLS) learning algorithm is developed for designing an adequate and parsimonious FBFN model. …"
احصل على النص الكامل
احصل على النص الكامل

Multidimensional Gains for Stochastic Approximation حسب Saab, Samer S.

"…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Phased Array Technique for Brain Source Localization حسب Zarghami, Tahereh

احصل على النص الكامل

Collision-Free Autonomous Navigation Solution for Mobile Wheeled حسب Elsergany, Ahmed Moataz Mahmoud

احصل على النص الكامل

Radar Pulse Interleaving For Multi-Target Tracking حسب Elshafei, M.

"…In this paper, we present new tight 0-1 integer programming models for the radar pulse interleaving problem and develop effective solution methods based on Lagrangian relaxation techniques.…"
احصل على النص الكامل

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

"…The identified a priori knowledge is used to implement an optimal Kalman filter, a multi-hypothesis Kalman filter, and a variant of the full information estimator (moving horizon estimator) to the problem at hand. The proposed algorithms are initially deployed in a simulation environment, and then the experimental data sets are fed into the algorithms to validate their performance. …"
احصل على النص الكامل

Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea حسب Issa, Leila

"…Lagrangian tracking of passive tracers in a stochastic velocity field within a sequential ensemble data assimilation framework is challenging due to the exponential growth in the number of particles. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Corrosion Monitoring Technologies for Reinforced Concrete Structures: A Review حسب SHEHADEH, KHADIJA

"…New technology, algorithms, data processing, and AI are new approaches to improving corrosion monitoring processes. …"
احصل على النص الكامل