Identification of physically based models of residential air-conditioners for direct load control management by El-Ferik, S.

“…An online maximum-likelihood based identification algorithm is developed for A/C, the required hardware and system instrumentation is detailed. …”
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Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies by Mohamed, Eman

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

“…The model rinds optimal initial settings of the process means and optimal cycle lengths. A Hook and Jeeves search algorithm is used to optimize the model, and a numerical example is provided. …”
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Spacecraft spin axis attitude determination by Emara-Shabaik, H.E.

“…Two algorithms are developed and compared by simulation. …”
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An Optimal Repeat Inspection Plan With Several Classifications by Duffuaa, S. O.

“…A mathematical model that depicts the plan is developed. …”
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IDENTIFICATION AND CONTROL STRATEGY APPLIED IN LOAD MANAGEMENT OF RESIDENTIAL AIR-CONDITIONERS by Hussain, Syed Ameenuddin

“…An integrated simulation environment was developed wherein the identification and control algorithm were implemented. …”
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Neural network-based failure rate prediction for De Havilland Dash-8 tires by Al-Garni, Ahmed Z.

“…An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as a learning rule is developed. The inputs to the neural network are independent variables and the output is the failure rate of the tires. …”
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Adaptive Video Streaming Over Cognitive Radio Networks by Mohamed, Ala Eldin Omer

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Theoretical Estimation of the Dispersion Curves in an Orthotropic Composite Plate by Abdellah Nouala

“…The obtained phase and group velocity dispersion curves from MATLAB using the in-house developed code are validated with a freely available Dispersion software and found to be in good agreement. …”
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Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review by Asma Alamgir (18288895)

“…Most of the studies used data sets with a size of <10,000 samples (32/47, 68%). Machine learning models were the most prominent branch of AI used in the prediction of cardiac arrest in the studies (38/47, 81%), and the most used algorithm was the neural network (23/47, 49%). …”

Software maintenance tool. (c1995) by Yassin, Rabe'ah H.

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Failure-Rate Prediction for De Havilland Dash-8 Tires Employing Neural-Network Technique by Al-Garni, Ahmed Z.

“…An artificial neural-network model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the two-layered feedforward back-propagation algorithm as a learning rule is developed. The inputs to the neural network are independent variables, and the output is the failure rate of the tires. …”
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CEAP by Abdel Wahab, Omar

“…The first challenge is related to the highly mobile nature of vehicles that complicates the processes of monitoring, buffering, and analyzing observations on these vehicles as they are continuously moving and changing their locations. …”
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Efficient XML Structural Similarity Detection using Sub-tree Commonalities by Tekli, Joe

“…Various algorithms for comparing hierarchically structured data, e.g. …”
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Investigating the Impact of Skylights and Atrium Configurations on Visual Comfort and Daylight Performance in Dubai Shopping Malls by SANAD, AYMAN ADEL AHMED

“…Annual simulations are used to assess seasonal variations, while sensitivity analysis identifies key parameters. A genetic algorithm and multi-objective optimisation (MOO) simulations are used to generate optimal configurations, summarised in the form of a Pareto front selection criteria guide the choice of the optimum solution, which is then applied and analysed in a case study. …”
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Trajectory Planning and Resource Allocation of Multiple UAVs for Data Delivery in Vehicular Networks by Samir, Moataz

“…To solve it, we employ a sequence of convex approximates. Then, we develop an efficient algorithm to sequentially solve this problem. …”
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Multilayer perceptron-based DFE with lattice structure by Zerguine,, Azzedine

“…The adaptive lattice algorithm is a modification to the one developed by Ling and Proakis (1985). …”

Modeling and Control of Nonlinear Systems Using Wavelet Networks by Hassouneh, Wissam

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Thermal convection of fluid in fractured media by Sfeir, Abdallah

“…Including this phenomenon in a modelling process led us to propose a development of the UDEC code. …”
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General Inspection Plan For Critical Multicharacteristic Components by Duffuaa, S. O.

“…A decent type algorithm is proposed to determine the optimal number of repeat inspections and sequence characteristics for inspection that minimizes the expected total cost. …”
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