Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm حسب Abdelbasset Krama (16870008)

"…<p dir="ltr">This paper proposes a high performance control scheme for a double function grid-tied double-stage PV system. It is based on model predictive power control with space vector modulation. …"

Neural Networks as a Convex Problem حسب Khalil, Baha

احصل على النص الكامل

A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

"…The proposed model determines a training dataset by covering all the aspects of cost function calculation. This training dataset helps to train the model, which allows for efficient decision-making in optimum energy usage. …"

Iterative Methods for the Solution of a Steady State Biofilter Model حسب Salih, Mubarak Sahal

احصل على النص الكامل

Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network حسب Fares Almomani (12585685)

"…An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. …"

A combined resource allocation framework for PEVs charging stations, renewable energy resources and distributed energy storage systems حسب Kandil, Sarah M.

"…The formulation employs a general objective function that optimizes the total Annual Cost of Energy (ACOE). …"
احصل على النص الكامل

Face Recognition in Uncontrolled Indoor Environment حسب Abuqaaud, Kamal Adel

احصل على النص الكامل

On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

"…In the first example, a fixed number of function evaluations ensures fair comparison; in the second, equal runtime account for the high computational cost of each function evaluation.…"

Design of an innovative and self-adaptive-smart algorithm to investigate the structural integrity of a rail track using Rayleigh waves emitted and sensed by a fully non-contact las... حسب Masurkar, Faeez

"…The functioning of the algorithm was successfully tested by carrying out extensive experiments on a real rail track in the presence of different types of surface and sub-surface defects on its head and web. …"
احصل على النص الكامل

Critical exponents from the weak-coupling, strong-coupling and large-order parametrization of the hypergeometric (k+1Fk) approximants حسب Abouzeid M. Shalaby (16810695)

"…Accurate results have been obtained in using a relatively low order from the perturbation series. Since strong-coupling behavior is not yet known for the renormalization group functions of the O(N)-symmetric φ 4 theory, we used weak-coupling and largeorder parametrization to resum the seven-loop critical exponents ν, η and ω for N = 0, 1, 2, 3, 4. …"

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 role of the proposed quasi oppositional based SMPID controller is to modify the tracking strategy on AC/HVDC interconnected systems while reducing the related cost function. 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). …"

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

"…The total cost, which includes the cost of generation units, exchanged electricity cost, and BESS investment cost, is considered as the fitness function for the problem. …"

Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV حسب Zulkifli, Muhammad

احصل على النص الكامل

Bridge Structural Health Monitoring Using Mobile Sensor Networks حسب Amin, Fouad

احصل على النص الكامل

Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts حسب ALSHAMSI, SUROUR

"…So far none addresses the use of Threat Intelligence (IT) data in Ensemble Learning algorithms to improve the detection process, nor does it work as a function of time, that is, taking into account what happens on the network in a limited time interval. …"
احصل على النص الكامل

Android Malware Detection Using Machine Learning حسب Al Ali, Shaikha

"…It was found that SVM using radial basis function (RBF) kernel achieved the highest performance with an accuracy of 99.5%. …"
احصل على النص الكامل

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

"…Most interestingly, we show that such functions can be (i) automatically learned also from controversial but commonly accepted coreference measures, e.g., MELA, and (ii) successfully used in learning algorithms. …"

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation حسب Raveendra Pilli (21633287)

"…In this study, a brain age classification and estimation framework is proposed using structural magnetic resonance imaging (sMRI) scans, a 3-D convolutional neural network (3-D-CNN), and a kernel ridge regression-based random vector functional link (KRR-RVFL) network. We used 480 brain MRI images from the publicly availabel IXI database and segmented them into gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) images to show age-related associations by region. …"

Optimization Techniques for Directional Overcurrent Relay Coordination: A Comprehensive Review حسب Tareq Foqha (17947778)

"…It also presents simulation software employed for examining and validating results obtained from optimization algorithms. Future trends and challenges regarding optimal coordination of directional overcurrent relays are also discussed. …"

Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization حسب De Rochechouart, Maxence

"…The work demonstrates how machine learning techniques can capture resource allocation policy and help avoid the complexity of having to re-calculate cost function at every time step, especially when we have many radars and many cameras.…"
احصل على النص الكامل