Transmission Line Fault Location Using Unsynchronized Measurements حسب Hussain, Shoaib

احصل على النص الكامل

Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach حسب Arshad Ali Khan (23152516)

"…This paper proposes a new approach using convolutional neural networks with genetic algorithms for estimating air quality directly from images. …"

High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm حسب Badreddine Kanouni (23073244)

Autopilot Design and Commercial Autopilot Evaluation Using Flybarless Helicopter حسب Alshoubaki, Ahmad

احصل على النص الكامل

Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT حسب Arumugam K (18456690)

"…This paper proposes an Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT. …"

Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization حسب Abu Zitar, Raed

"…The Extended Kalman Filter (EKF) is used for state estimation with proper clutter and detection models. …"
احصل على النص الكامل

Modelling surface currents in the Eastern Levantine Mediterranean using surface drifters and satellite altimetry حسب Issa, Leila

"…The method relies on a variational assimilation approach where a velocity correction is continuously obtained by matching observed drifter positions with those predicted by a simple advection model. The background velocity used in the advection of the drifters is the aggregate of a geostrophic and a wind-driven component and the velocity correction is constrained to be divergence free. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks حسب Zahidi, Sarah Hussain

احصل على النص الكامل

A reduced model for phase-change problems with radiation using simplified PN approximations حسب Belhamadia, Youssef

"…In these problems at high temperature, a mathematical model used to describe the heat transfer and phase change should also include equations accounting for thermal radiation. …"
احصل على النص الكامل

Predicting Plasma Vitamin C Using Machine Learning حسب Daniel Kirk (17302798)

"…The objective of this study is to predict plasma vitamin C using machine learning. The NHANES dataset was used to predict plasma vitamin C in a cohort of 2952 American adults using regression algorithms and clustering in a way that a hypothetical health application might. …"

Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing حسب Bachir, Abdallah Raafat

احصل على النص الكامل

Improvement Algorithm for Limited Space Scheduling حسب Zouein, Pierrette

"…This paper addresses the combined problem termed “space scheduling” and presents an algorithmic time-space trade-off model for adjusting activity durations and start dates to decrease the need for space over congested time periods. …"
احصل على النص الكامل
احصل على النص الكامل

Evolutionary algorithm for protein structure prediction حسب Mansour, Nashat

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Correlation Clustering via s-Club Cluster Edge Deletion حسب Makarem, Norma

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994) حسب Kawash, Jalal Y.

احصل على النص الكامل
احصل على النص الكامل

An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting حسب Mohamed Massaoudi (16888710)

"…Then, the stacked LSTM model, optimized by Tabu search algorithm, uses the residual error correction associated with the original data to produce a point and interval PVPF. …"

Predicting Dropouts among a Homogeneous Population using a Data Mining Approach حسب BILQUISE, GHAZALA

"…Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …"
احصل على النص الكامل

An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling حسب ALKETBI, SAIF

"…The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …"
احصل على النص الكامل

An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications حسب Abu Zitar, Raed

"…Initially, the optimization model and convergence characteristics of JAYA algorithm are carefully analyzed. …"
احصل على النص الكامل

Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma حسب Rawan AlSaad (14159019)

"…</p><h3>Methods</h3><p dir="ltr">We use a real EHR dataset comprising 11071 patients, to evaluate and compare CD interpretations from LSTM and BiLSTM models. …"