A hybrid 3D CNN-LSTM model with soft spatial attention mechanism for accurate hyperspectral image classification by Mohamed Sultan Mohamed Ali (17317003)

Modeling of photovoltaic soiling loss as a function of environmental variables by Wasim Javed (6105866)

Optimization of Memristive Crossbar Array for Physical Unclonable Function Applications by Muhammad Ibrar Khan (13390617)

Behavioral Modeling of GaN Doherty Power Amplifiers Using Memoryless Polar Domain Functions and Deep Neural Networks by Khawam, Yahya Bader

“…In this paper, novel Doherty Power Amplifier (DPA) models are presented. The motivation behind the proposed models is to accurately predict static nonlinearities in the compression regions of the carrier and peaking amplifiers. …”
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Iterative Methods for the Solution of a Steady State Biofilter Model by Salih, Mubarak Sahal

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Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy by Yahya, Fares

“…In conclusion, this study demonstrates the effectiveness of combining functional near infrared spectroscopy (fNIRS) with multiple machine learning models to accurately assess and quantify mental stress levels during prolonged space missions, providing a promising approach for early stress detection in astronauts.…”
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A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models by Osama Bassam J. Rabie (21323741)

“…Moreover, the DBRF classification model is deployed to categorize the normal and attacking data flows using optimized features. …”

High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm by Badreddine Kanouni (23073244)

“…<p dir="ltr">Development and modeling of proton exchange membrane fuel cells (PEMFCs) need accurate identification of unknown factors affecting mathematical models. …”

Hypergeometric Gevrey-0 approximation for the Gevrey-<i>k </i>divergent series with application to eight-loop renormalization group functions of the O(<i>N</i>)-symmetric field mod... by Abouzeid M. Shalaby (16810695)

“…(Phys Rev Lett 115:143001, 2015) discovered that the hypergeometric function can serve as an accurate approximant for a divergent Gevrey-1 type of series with an asymptotic large-order behavior of the form . …”

A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences by Razieh Rastgoo (22457767)

“…The proposed model offers an accurate, robust, and uncertainty-aware solar power forecasting methodology for improved power system operation and management.…”

Wide area monitoring system operations in modern power grids: A median regression function-based state estimation approach towards cyber attacks by Haris M. Khalid (17017743)

“…To address this issue, a median regression function (MRF)-based state estimation is presented in this paper. …”

THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis by Mohammad Javad Saber (4334227)

“…The small-scale fading is modeled using the α–μ distribution, which accurately represents various fading environments. …”

Recurrent ensemble random vector functional link neural network for financial time series forecasting by Aryan Bhambu (18767731)

“…However, the non-stationary and non-linear characteristics inherent in time series data pose significant challenges when accurately predicting future forecasts. This paper proposes a novel Recurrent ensemble deep Random Vector Functional Link (RedRVFL) network for financial time series forecasting. …”

The link between glycemic control measures and eye microvascular complications in a clinical cohort of type 2 diabetes with microRNA-223-3p signature by Sahar I. Da’as (9631717)

“…Accordingly, we performed functional validation using a miR-223-3p mimic (overexpression) under control and hyperglycemia-induced conditions in a zebrafish model.…”

Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting by Aryan Bhambu (18767731)

“…This paper introduces a novel random vector functional link transformer (RFT) and ensemble deep random vector functional link transformer (edRFT) networks to capture the dynamic characteristics of significant wave heights. …”

Simulation & Analysis of the Helicopter Transmission System by LASFER, ABDALLAH

“…The last method is the hybrid model, where the gears are taken as discrete elements, while the shaft characteristics are continuous functions of the shafts’ length. …”
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Modeling, Simulation and Control of Biotrickling Filter for Removal of Air Pollutants by Ahmed, Wasim

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Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models by Lanouar, Charfeddine

“…Accurately modeling and forecasting electricity consumption remains a challenging task due to the large number of the statistical properties that characterize this time series such as seasonality, trend, sudden changes, slow decay of autocorrelation function, among many others. …”
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Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models by Lanouar Charfeddine (10705000)

“…<p>Accurately modeling and forecasting electricity consumption remains a challenging task due to the large number of the statistical properties that characterize this time series such as seasonality, trend, sudden changes, slow decay of autocorrelation function, among many others. …”

Heteroscedastic ensemble deep random vector functional link neural network with multiple output layers for High Frequency Volatility Forecasting and Risk Assessment by Aryan Bhambu (18767731)

“…<p dir="ltr">Accurate volatility forecasting is crucial for the efficient management of <u>financial systems</u>. …”