Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review حسب Mohamed Massaoudi (16888710)

Comparison of Machine Learning Algorithms for Classification of Partial Discharge Signals in Medium Voltage Components حسب Hussain, Ghulam

"…This paper aims to investigate the performance of two MLAs: Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) for the classification of different types of PD sources. Suitable features are extracted by applying statistical parameters on the coefficients of discrete wavelet transform (DWT) for observing the performance of both MLAs. …"
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Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks حسب Mohamed Massaoudi (16888710)

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

Various Faults Classification of Industrial Application of Induction Motors Using Supervised Machine Learning: A Comprehensive Review حسب Rehaan Hussain (22302742)

PAST-AI: Physical-Layer Authentication of Satellite Transmitters via Deep Learning حسب Gabriele Oligeri (14151426)

Segmentation of thermographies from electronic systems by using the global-best brain storm optimization algorithm حسب El-Abd, Mohammed

"…For that reason some metaheuristic algorithms are used to optimize the searching for the best thresholds. …"
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Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique حسب Iqbal Hassan (22155274)

"…The primary objective of this study is to estimate the CL index through an innovative approach that employs a hybrid, cluster-based, unsupervised learning technique seamlessly integrated with a 1D Convolutional Neural Network (CNN) architecture tailored for automated feature extraction, rather than conventional supervised algorithms, which facilitated in the acquisition of latent complex patterns without the need for manual categorization. …"

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation حسب Raveendra Pilli (21633287)

"…We used 480 brain MRI images from the publicly availabel IXI database and segmented them into gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) images to show age-related associations by region. Features from MRI images are extracted using 3-D-CNN and fed into the wavelet KRR-RVFL network for brain age classification and prediction. …"

Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques حسب Kais Abdulmawjood (17947784)

"…The main problem in identifying partial shading in a PV system is the difficulty of extracting its features under different shading conditions. …"

Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing حسب Zabin, Asem Ahmad

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Automatic and Intelligent Stressor Identification Based on Photoplethysmography Analysis حسب Sami Elzeiny (16891521)

"…The time-series PPG data is transformed into 2D spatial images by first extracting the interbeat interval (IBI), and the blood volume pulse (BVP) features from the PPG, then transforming these data to 2D image data. …"

Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks حسب S. N. V. Bramareswara Rao (21768302)

"…The proposed DWT-DNN first extracts the input features from the point of common coupling of the cluster system using DWT, and then, these decomposed features are applied as input variables to train the DNN for the detection and classification of various faults. …"

FPGA-based Parallel Hardware Architecture for Real-time Object Classification حسب Qasaimeh, Murad Mohammad

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Capillary trapping in mixed-wet porous media: Implications for subsurface carbon dioxide sequestration حسب Saideep Pavuluri (21792941)

Fast fractal stack: fractal analysis of computed tomography scans of the lung حسب Costa, Alceu Ferraz

"…The proposed approach performs well, improving the classification accuracy when compared to other feature extraction algorithms. Additionally, the FFS extraction algorithm is efficient, with a computational cost linear with respect to input image size.…"
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VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems حسب Hisham A. Kholidy (18891802)

"…However, NNGE algorithm tends to produce rules that test a large number of input features. …"

Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

"…To overcome issues of feature extraction and multi-modal fusion, hybrid fuzzy-evolutionary computation methodologies are employed to demonstrate ultra-strong capability of learning features and dimensionality reduction. …"
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A novel few shot learning derived architecture for long-term HbA1c prediction حسب Marwa Qaraqe (10135172)

"…The derived images are then fed into a convolutional neural network (CNN) adapted from a few-shot learning (FSL) model for feature extraction, and all the derived features are fused together. …"

The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review حسب Uzair Shah (15740699)

"…The most common signal normalization and feature extractions in the included studies were the bandpass filter and wavelet-based feature extraction. …"