A lightweight adaptive compression scheme for energy-efficient mobile-to-mobile file sharing applications حسب Sharafeddine, Sanaa

"…However, the computational as well as memory access requirements of compression algorithms could consume more energy than simply transmitting data uncompressed. …"
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Exploring the System Dynamics of Covid-19 in Emergency Medical Services حسب Ali, Muhammad

"…The predictive analysis yielded a model of response times for emergency missions through machine learning, specifically using a random forest algorithm. …"
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Shuffled Linear Regression with Erroneous Observations حسب Saab, Samer S.

"…Existing methods are either applicable only to data with limited observation errors, work only for partially shuffled data, sensitive to initialization, and/or work only with small dimensions. …"
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Computation of conformal invariants حسب Mohamed M.S., Nasser

"…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …"
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Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring حسب Muhammad E.H. Chowdhury (17151154)

"…Twenty-seven t-domain, f-domain, and Mel frequency cepstral coefficients (MFCC) features were used to train a public database to identify the best-performing algorithm for classifying abnormal and normal heart sound (HS). …"

Swarm intelligence-based hyper-heuristic for the vehicle routing problem with prioritized customers حسب Tarhini, Abbas

"…Various studies have been conducted regarding this topic; nevertheless, up to now, few studies used the Cuckoo Search-based hyper-heuristic. This paper modifies a classical mathematical model that represents the VRPC, implements and tests an evolutionary Cuckoo Search-based hyper-heuristic, and then compares the results with those of our proposed modified version of the Clarke Wright (CW) algorithm. …"
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Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes حسب Muhammad Mohsin Khan (22150360)

"…Feature selection was done using a Random Forest algorithm to identify the top 20 features for the SAH severity prediction. …"

Predicting business cycle turning points with neural networks in an information-poor economy حسب Nasr, George E.

"…A feedforward neural network model is used to forecast turning points in the business cycle of postwar Lebanon. …"
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Thermal convection of fluid in fractured media حسب Sfeir, Abdallah

"…The results obtained, using a simple model representing two blocks separated by a horizontal fracture, suggest that the convection phenomenon should not be neglected in modelling thermal flow in fractured rock masses. …"
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An optimization approach to increasing sustainability and enhancing resilience against environmental constraints in LNG supply chains: A Qatar case study حسب Sara Al-Haidous (18095368)

"…The developed model, which is implemented using the Binary Particle Swarm Optimization algorithm subjected to economic and environmental objectives within an overarching strategic aim for sustainability and resilience. …"

Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace حسب Shahid, Saif Mohammad

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Economic Production Lot-Sizing For An Unreliable Machine Under Imperfect Age-Based Maintenance Policy حسب El-Ferik, S

"…In this work, we propose a model that could be used to determine the optimal number of production runs and the sequence of PM schedules that minimizes the long-term average cost. …"
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Computation of conformal invariants حسب Mohamed M.S. Nasser (16931772)

"…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …"

Intelligent Hybrid Feature Selection for Textual Sentiment Classification حسب Jawad Khan (6422669)

"…Finally, for textual sentiment classification, the well-known classification algorithms Support Vector Machine (SVM), Naive Bayes (NB), Generalized Linear Model (GLM) are trained in the ensemble model on the refined sentiment feature set. …"

Fragment-based computational protein structure prediction حسب Mansour, Nashat

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" Design of Variable Structure Stabilizer for a Nonlinesr Mode of SMIB System: Particle Swarm Approach" حسب Al-Hamouz, Z.

"…Unlike the methods reported in the literature which involve either linearizing the model of synchronous machine around a suitable operation point or applying nonlinear transformation techniques before linear control theory is used in designing a fixed parameter PSS, the present method formulates the design of VSC as an optimization problem and utilized the PSO algorithm to provide a simple and systematic way of arriving at the optimal feedback gains and switching vector values of the stabilizer. …"
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"Design of Variable Structure Stabilizer for a Nonlinesr Mode of SMIB System: Particle Swarm Approach" حسب Al-Duwaish, H.

"…Unlike the methods reported in the literature which involve either linearizing the model of synchronous machine around a suitable operation point or applying nonlinear transformation techniques before linear control theory is used in designing a fixed parameter PSS, the present method formulates the design of VSC as an optimization problem and utilized the PSO algorithm to provide a simple and systematic way of arriving at the optimal feedback gains and switching vector values of the stabilizer. …"
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Adaptive STATCOM Control for a Multi-machine Power System حسب Rahim, A.H.M.A.

"…Synchronous static compensator (STATCOM) can be used to improve the dynamic performance of a power system. …"
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Accurate multiple network alignment through context-sensitive random walk حسب Hyundoo Jeong (3840013)

"…In this work, we propose a novel multiple network alignment algorithm based on a context-sensitive random walk model. …"

Deep Reinforcement Learning for Resource Constrained HLS Scheduling حسب Makhoul, Rim

"…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
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