Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks حسب Mohamed Massaoudi (16888710)

"…This article introduces an efficient transient stability status prediction method based on deep temporal convolutional networks (TCNs). A grey wolf optimizer (GWO) is utilized to fine-tune the TCN hyperparameters to improve the proposed model's accuracy. …"

The Use of Enumerative Techniques in Topological Optimization of Computer Networks Subject to Fault Tolerance and Reliability حسب Abd-El-barr, Mostafa

"…In this paper, we propose one algorithm for optimizing the terminal reliability and another for optimizing the network reliability while improving the fault tolerance aspects of the designed networks. …"
احصل على النص الكامل

Efficiency Optimization of a Standalone Solar Energy System using Fuzzy Based MPPT حسب Al Nabulsi, Ahmad

احصل على النص الكامل

Enhanced Microgrid Reliability Through Optimal Battery Energy Storage System Type and Sizing حسب Mohammadreza Gholami (17032317)

"…The total electricity price and reliability indices for both grid-connected and islanded MGs are calculated, with and without considering the optimal size of the BESS. To determine the optimized size, a firefly optimization algorithm is used as an efficient meta-heuristic approach. …"

A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation حسب Iman M. Hosseini Naveh (16891482)

الموضوعات:

Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012) حسب Bitar, Mandy

احصل على النص الكامل
احصل على النص الكامل

Four quadrant robust quick response optimally efficient inverterfed induction motor drive حسب Islam, S.M.

"…A new approach for controlling the speed of an inverter-fed induction motor which operates with variable flux for high-efficiency purposes is presented. An optimal efficiency calculator provides optimum flux and torque producing current, while a supervisory control eliminates the intricate boot-strap effect of the flux-torque loop. …"
احصل على النص الكامل
احصل على النص الكامل

Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort حسب Sergio Márquez-Sánchez (19437985)

"…In response to these challenges, this article introduces a cutting-edge edge computing architecture grounded in virtual organizations, federated learning, and deep reinforcement learning algorithms, tailored to optimize energy consumption within buildings/homes and facilitate demand response. …"

Using artificial bee colony to optimize software quality estimation models. (c2015) حسب Abou Assi, Tatiana Antoine

"…In this thesis, we propose a novel heuristic based on Artificial Bee Colony (ABC) to optimize rule-based software quality prediction models. …"
احصل على النص الكامل
احصل على النص الكامل

Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks حسب Bekir Sait Ciftler (17541801)

الموضوعات:

Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect حسب Habeeb, Abdallah

"…The second phase, modified the Artificial Bee Colony (ABC) Algorithm, with Upper Confidence Bound (UCB) Algorithm, to promote the exploitation ability for the minimum dimension, to get the minimum number of the optimal feature, then using forward feature selection strategy by four classifiers of machine learning algorithms: (K-Nearest Neighbors (KNN), Support vector machines (SVM), Naïve-Bayes (NB), and Polynomial Neural Networks (PNN). …"
احصل على النص الكامل

Mobile Energy Storage Systems for Benefit Maximization in Resilient Smart Grids حسب Alshaal, Dima

احصل على النص الكامل

Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams حسب Eduardo Feo-Flushing (23276023)

الموضوعات:

A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions حسب Chakarajamula Hussaian Basha (21633167)

"…The studied hybrid optimization MPPT methods are equated in terms of oscillations across MPP, output power extraction, settling time of the MPP, dependency on the PV modeling, operating duty value of the converter, error finding accuracy of MPPT, algorithm complexity, tracking speed, periodic tuning required, and the number of sensing parameters utilized. …"

An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan حسب Ghulam Abbas (764241)

"…<p dir="ltr">Assessing and effectively optimizing wind power potential for a wind site demands accurate calculation of Weibull parameters. …"

Resource Optimization for 3D Video SoftCast with Joint Texture/Depth Power Allocation حسب Saqr Khalil Saeed Thabet (19517560)

"…Then, a minimum distortion optimization algorithm iteratively computes all the possible resource allocations to find the optimal allocation based on the minimum distortion. …"

Determination Of The Optimal Process Means And Production Cycles For Multistage Production Systems Subject To Process Deterioration حسب Al-Sultan, K.S.

"…A Hook and Jeeves search algorithm is used to optimize the model, and a numerical example is provided. …"
احصل على النص الكامل

Reliability and fault tolerance based topological optimization of computer networks - part I: enumerative techniques حسب Abd-El-Barr, Mostafa

"…We consider fault tolerance to be an important network design aspect In this paper, we propose one algorithm for optimizing the terminal reliability and another for optimizing the network reliability while improving the fault tolerance aspects of the designed networks. …"
احصل على النص الكامل
احصل على النص الكامل

On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach حسب Md. Sihab Uddin (17542488)

"…The design is carried out based on the selection of the optimal model parameters using a search optimization algorithm called GridSearchCV. …"

StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features حسب Muhammad Arif (769250)

"…Next, principal component analysis (PCA) is used to select the best subset of attributes. After that, the optimized features are fed into single machine learning and stacking-based ensemble classifiers. …"