A family of minimum curvature variable-methods for unconstrained optimization. (c1998) حسب Obeid, Samir Y.

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

"…Simulation results with a 100-hp motor show that up to 80% savings in controllable losses are achievable at light load, and the motor can reach rated speed in just 750 ms. The control algorithms developed are readily implementable with present-day microprocessors…"
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A fine-grained XML structural comparison approach حسب Tekli, Joe

"…Our approach consists of two main algorithms for discovering the structural commonality between sub-trees and computing tree-based edit operations costs. …"
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Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network حسب Monzure-Khoda Kazi (17191207)

"…These algorithms include random forest (RF) classification and artificial neural networks (ANN). …"

An XML Document Comparison Framework حسب Tekli, Joe

"…A prototype has been developed to evaluate the optimality and performance of our method. …"
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An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks حسب Mohammad Zain Ul Abideen (16904637)

"…The developed algorithms were tested on the IEEE 123 bus network, and their results were compared. …"

Conceptual Design and Analysis of Concentrated Photovoltaic Thermal (CPVT) Solar Collectors with Different Configurations حسب Sharaf, Omar Z.

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A comparative analysis to forecast carbon dioxide emissions حسب Md. Omer Faruque (17545671)

"…This leads to the second step, which involves formulating the multivariate time series CO₂ emissions forecasting challenges considering its influential factors. Based on multivariate time series prediction, four deep learning algorithms are analyzed in this work, those are convolution neural network (CNN), CNN long short-term memory (CNN–LSTM), long short-term memory (LSTM), and dense neural network (DNN). …"

A Framework for Predictive Modeling in Sustainable Projects حسب Labban, Tarek

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