Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System حسب B. Rouabah (17947820)

BioNetApp: An interactive visual data analysis platform for molecular expressions حسب Ali M. Roumani (18615124)

"…BioNetApp also provides data clustering based on molecular concentrations using Self Organizing Maps (SOM), K-Means, K-Medoids, and Farthest First algorithms.…"

A new family of multi-step quasi-Newton algorithms for unconstrained optimization حسب Obeid, Samir

"…It concentrates on deriving a variable-metric family of minimum curvature algorithms for unconstrained optimization. The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …"
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Optimizing Energy Consumption In Cloud Datacenters حسب Khan, Mueez Ahmad

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A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems حسب Majdi Mansouri (16869885)

"…In the proposed IGPR-RF technique, the effective interval-valued nonlinear statistical features are extracted and selected using the IGPR model and then fed to the RF algorithm for fault classification purposes. …"

UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

"…Moreover, the study proposes a hybrid algorithm that combines UniBFS with two filter-based FS methods, ReliefF and Fisher, to identify pertinent features during the global search phase. …"

On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network حسب Nasru Minallah (9427338)

Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method حسب Mohamed Massaoudi (16888710)

"…The proposed forecasting tool incorporates a base model and meta-model layers. The first-layer base learner combines extreme learning machines, extremely randomized trees, k-nearest neighbor, and mondrian forest models. …"

K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation حسب Ashhadul Islam (16869981)

"…This paper introduces K Nearest Neighbor OveRsampling (KNNOR) Algorithm — a novel data augmentation technique that considers the distribution of data and takes into account the k nearest neighbors while generating artificial data points. …"

Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils حسب Alireza Namadmalan (16864236)

"…Equivalent AC resistance of spiral coils is modeled based on eddy currents simulations using Finite Element Method (FEM) and Maxwell simulator. …"

Cooperative clustering models for Vehicular ad hoc networks. (c2013) حسب Abdel Wahab, Omar Mohammad

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Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm حسب Saima Hassan (14918003)

"…The forecasting performance of the proposed model is compared with other population-based optimized IT2-FLS including genetic algorithm and artificial bee colony optimization algorithm. …"

Scatter search for homology modeling حسب Mansour, Nashat

"…However this technique suffers from poor initial target-template alignments. To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. …"
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ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification حسب Md. Iqbal Hossain (723299)

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

"…Several techniques have been proposed in the literature to add some semblance of balance to the data sets by adding artificial data points. Synthetic Minority Oversampling Technique(SMOTE) and Adaptive Synthetic Sampling(ADASYN) are some of the commonly used techniques to deal with class imbalance. …"

Large language models for code completion: A systematic literature review حسب Rasha Ahmad Husein (19744756)

"…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. While several research papers have focused on the use of LLMs for code completion, these studies are fragmented, and there is no systematic overview of the use of LLMs for code completion. …"

The automation of the development of classification models and improvement of model quality using feature engineering techniques حسب Sjoerd Boeschoten (17347045)

"…<p>Recently pipelines of machine learning-based classification models have become important to codify, orchestrate, and automate the workflow to produce an effective machine learning model. …"

Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation حسب Zakaria Shams Siam (22048001)

"…Efforts are underway to develop algorithms that can generate 7T MRI from 3T MRI to achieve better image quality without the need for 7T MRI machines. …"

Enhancing Personalized Learning Experiences through AI-driven Analysis of xAPI Data حسب ODEH, HANEEN

"…In today's evolving educational arena, Adaptive learning experiences to individual needs has become a focal point. The Experience API (xAPI) provides a comprehensive mechanism to document all types of learning interactions, storing this stream of data into the Learning Record Store (LRS). …"
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Forward simulation of three-dimensional advection-diffusion using a fundamental solution for a linear flow حسب Wehbe, Rawan

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