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. …"

Multigrid solvers in reconfigurable hardware. (c2006) حسب Kasbah, Safaa J.

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AUTOMATIC WEINBERGER ARRAY SYNTHESIS FROM UAHPL DESCRIPTION حسب Sait, Sadiq M.

"…The system also minimizes the area required by the WA by performing row compaction. An algorithm similar to that used for channel routing is employed for compaction (Hashimoto and Stevens 1971). …"
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Assessment of static pile design methods and non-linear analysis of pile driving حسب Abou-Jaoude, Grace G.

"…The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …"
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Evolutionary support vector regression for monitoring Poisson profiles حسب Ali Yeganeh (16624998)

"…This paper aims to monitor Poisson profile monitoring problem in Phase II and develops a new robust control chart using support vector regression by incorporating some novel input features and evolutionary training algorithm. …"

Anomaly Detection Based Framework for Profile Monitoring حسب Al-Rahim, Nour Al-Huda Z. Al-Abed

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I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams حسب Raun, Kristo

"…Finally, the algorithm is stress tested for performance using a simulation of high-traffic event streams.…"
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Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem حسب Assaker, Guy

"…This research note describes Response-Based Unit Segmentation (REBUS), a “latent class detection” technique used in partial least squares–structural equation modeling (PLS-SEM) to examine data heterogeneity. …"
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Quality Degradation And Pricing of Perishable Food Products حسب Alastal, Haya

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KNNOR: An oversampling technique for imbalanced datasets حسب Ashhadul Islam (16869981)

"…<p>Predictive performance of Machine Learning (ML) models rely on the quality of data used for training the models. …"

Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine حسب Shomope, Ibrahim

"…Extensive data collection and preprocessing were performed. RF and SVM models were trained and evaluated using mean absolute error (MAE), mean squared error (MSE), coefficient of determination (R²), and the a20 index as performance metrics. …"
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Single channel speech denoising by DDPG reinforcement learning agent حسب Sania Gul (18272227)

"…For matched testing data, the proposed system offers an improvement of 1.55 points in the perceptual evaluation of speech quality (PESQ) over the unprocessed speech, the highest among the other recent state-of-the-art models used for comparison in this paper. It achieves this performance by utilizing data that is 7 times smaller than that required by other models. …"

A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem حسب Abu Zitar, Raed

"…To evaluate the modified CHIO, twosets of data sets are used: the first data set has ten Synthetic CVRP models while the second is an ABEFMPdata set which has 27 instances with different models. …"
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Design and Optimization of a Planar Cable Robot حسب Kassem, Mohamad Hassan

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Neural Networks as a Convex Problem حسب Khalil, Baha

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Impacts of On-Grid Solar PV on Distribution Networks and Potential Solutions: A Case Study in the Region of Zahle حسب Korkmaz, Jessica

"…Afterward, the optimal siting and sizing of capacitor banks (CBs) are performed on the modeled network to alleviate the impacts of the PV DGs using both MATLAB and OpenDSS. …"
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The effects of data balancing approaches: A case study حسب Paul Mooijman (4453189)

"…In this research, classification algorithms, combined with resampling strategies and dimensionality reduction methods, were investigated to find a prediction model to correctly identify the samples of treated animals. …"

Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care حسب Regina Padmanabhan (14231606)

"…The XGboost algorithm is suggested from 10-fold cross-validation on 6 candidate models. …"

Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem حسب Tao Li (86810)

"…A mixed-integer linear programming model is proposed to describe this problem. After analyzing the characteristics and structure of the model, a logic-based Benders decomposition algorithm framework is designed for solving this problem. …"

High-order parametrization of the hypergeometric-Meijer approximants حسب Abouzeid M. Shalaby (16329062)

"…To solve this problem, we formulate an equivalent (order by order) linear set of equations which is easy to solve in an appropriate time using normal PCs. We also show that such extension of the hypergeometric resummation algorithm is able to employ non-perturbative information like strong-coupling and large-order asymptotic data which are always used to accelerate the convergence. …"