Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks حسب Amirhossein Taherpour (19273879)

"…Furthermore, we propose two algorithms designed to achieve optimal throughput for each scenario. …"

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)

"…The proposed analysis is established considering the most highly cited, well-known tested and newly expanded swarm-based optimization algorithms (SBOAs), such as Grasshopper Optimization Algorithm (GOA), Grey Wolf Optimization (GWO), Artificial Fish Swarm Algorithm (AFSA), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). …"

Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy حسب Haitao Xu (435549)

"…Therefore, this study investigates the effect of optimization algorithms on the prediction accuracy of the multilayer perceptron neural networks (MLPNNs). …"

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

"…The results highlight the computational capabilities of the decentralized EGT algorithm in optimizing battery scheduling and effectively mitigating price fluctuations for SGCs with increasing prosumer participation.…"

Fuzzy genetic algorithm for floorplanning حسب Youssef, H.

"…Genetic algorithms (GAs) have been found to be very effective in solving numerous optimization problems, especially those with many (possibly) conflicting and noisy objectives. …"
احصل على النص الكامل

LOCATING DAMAGES IN THIN ALUMINIUM PLATES USING LAMB WAVES AND AGENETIC OPTIMIZATION APPROACH حسب A. Masurkar, Faeez

"…The damage locations are further optimized within the enclosed area using the GO algorithm. …"
احصل على النص الكامل

Nonlinear Control of Brushless Dual-Fed Induction Generator With a Flywheel Energy Storage System for Improved System Performance حسب Mohammed Hamidat (3722086)

"…SC is selected for its ability to handle parametric and nonparametric uncertainties, offering a robust solution that ensures fast response times and asymptotic stability across varying operating conditions. To optimize parameter tuning within the control system, the Grasshopper Optimization Algorithm (GOA) is applied, ensuring optimal performance of the proposed framework. …"

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. …"

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

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

احصل على النص الكامل

Machine Learning Model for a Sustainable Drilling Process حسب Alsaidi, Ola

احصل على النص الكامل

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. …"

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

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. …"

Energy conversion of heat from abandoned oil wells to mechanical refrigeration - Transient analysis and optimization حسب Mohammed Al-Khawaja (17093017)

"…Among 43 investigated refrigerants, R1234ze(E) has higher efficiency, lower Pumping Work Ratio (PWR), and requires a smaller size of the heat exchangers. Using the genetic algorithm optimization method with R1234ze(E) as working fluid in both power and cooling loops, a maximum power loop efficiency of 6.3% and COP of 5.3 were obtained at a high pressure of 29 bar (in the power loop) with minimal expander diameter of 64, compressor diameter of 171 mm, and 18 expander-compressor units.…"

Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques حسب Arifa Zahir (20748764)

"…LeNet demonstrates optimized accuracy in classifying the records, outperforming CNN by 52% and Inception-V3 by 70%. …"

Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures حسب Iryna Haponchyk (19691701)

Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations حسب Md Mosarrof Hossen (21399056)

"…A comparative evaluation of three FL algorithms (FedAvg, FedProx, Mime-lite) identifies the most suitable aggregation strategy. …"

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

"…The results showed the proposed methodology outperformed existing algorithms in optimizing project durations and resources allocation. …"
احصل على النص الكامل

Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems حسب Khaled Dhibi (16891524)

"…First, a feature selection tool using PSO Algorithm is developed. Then, in order to maximize the diversity between data samples and improve the effectiveness of using PSO algorithm for feature selection, the Euclidean distance metric is used in order to reduce the data and maximize the diversity between data samples. …"