Reactive transport in porous media: a review of recent mathematical efforts in modeling geochemical reactions in petroleum subsurface reservoirs by Abdul Salam Abd (14151648)

Effective solutions for the capacitated vehicle routing problem and for the split delivery vehicle routing problem with time windows. (c2013) by Hilal, Nathalie

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Human digital thought clones: the <i>Holy Grail</i> of artificial intelligence for big data by Jon Truby (14153022)

Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory by Nadia Rasheed (22997257)

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

“…Both combine a generic MILP solver and a genetic algorithm, resulting in efficient anytime algorithms. …”

Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Blends by Abdellatif M. Sadeq (16931841)

“…<p dir="ltr">Studying the spatial and temporal evolution in turbulent flames represents one of the most challenging problems in the combustion community. …”

A Survey of Machine Learning Innovations in Ambulance Services: Allocation, Routing, and Demand Estimation by Reem Tluli (22282702)

“…<p dir="ltr">In the realm of Emergency Medical Services (EMS), the integration of Machine Learning (ML) techniques has emerged as a catalyst for revolutionizing ambulance operations. ML algorithms could play a pivotal role in dynamically allocating resources, devising efficient routes, and predicting demand patterns. …”

Performance Modeling of Rooftop PV Systems in Arid Climate, a Case Study for Qatar: Impact of Soiling Losses and Albedo Using PVsyst and SAM by Sachin Jain (19161721)

“…To overcome these limitations, the Humboldt State University (HSU) soiling model was calibrated using field measurements from a DustIQ sensor, and its parameters, rainfall cleaning threshold and particulate deposition velocity were optimized through a Differential Evolution algorithm. Additionally, the study utilized dynamic albedo inputs to better account for ground-reflectance effects in energy yield simulations. …”

Video Streaming over D2D Networks by Ahmed, Ibtihal Mohamed Taha

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2022 IEEE Congress on Evolutionary Computation (CEC) by El-Abd, Mohammed

“…The success of differential evolution algorithm depends on its offspring breeding strategy and the associated control parameters. …”
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Enhanced Jaya optimization for improving multilayer perceptron neural network in urban air quality prediction by Abdullah, Afsah

“…This strategy saves the best solutions obtained during the optimization process for later use, enhancing the algorithm’s performance. …”
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Enhanced Jaya optimization for improving multilayer perceptron neural network in urban air quality prediction by Abdullah, Afsah

“…This strategy saves the best solutions obtained during the optimization process for later use, enhancing the algorithm’s performance. …”
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Enhanced Jaya optimization for improving multilayer perceptron neural network in urban air quality prediction by Abdullah, Afsah

“…This strategy saves the best solutions obtained during the optimization process for later use, enhancing the algorithm’s performance. …”
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UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices by Samir, Moataz

“…To solve it, we first propose the high-complexity branch, reduce and bound (BRB) algorithm to find the global optimal solution for relatively small scale scenarios. …”
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Parallel processing by Mansour, Nashat

“…These schemes arc found useful for providing both good solutions and reasonable execution times. The parallel genetic algorithm is based on a model of natural evolution. …”
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Data Generation for Path Testing by Mansour, Nashat

“…The two algorithms are: a simulated annealing algorithm (SA), and a genetic algorithm (GA). …”
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A METHODOLOGY FOR NETWORK TOPOLOGY DESIGN USING FUZZY EVALUATIONS by Khan, Salman A.

“…This methodology is based on two algorithms, namely, fuzzy simulated evolution algorithm and the augmenting path algorithm. …”
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QoS-driven multicast tree generation using tabu search by Youssef, H.

“…Results show that on almost all test cases, TS algorithm exhibits more intelligent search of the solution subspace and is able to find better solutions than other reported multicast algorithms.…”
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Final exams scheduling for univeristies. (c2001) by Timany, Mazen Nuhad

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Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations by Shameem A. Puthiya Parambath (14150997)

“…Here we propose a two-stage algorithm based on soft clustering to provide an efficient solution to this problem. …”