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

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A new method for synthesizing test accuracy data outperformed the bivariate method by Luis Furuya-Kanamori (477124)

“…<h3>Objectives</h3><p dir="ltr">This study outlines the development of a new method (split component synthesis; SCS) for meta-analysis of diagnostic accuracy studies and assesses its performance against the commonly used bivariate random effects model.…”

Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements by Mubarak A. Bidmos (14158851)

“…The range of average accuracies obtained for pooled multivariate discriminant function equations is 81.9–84.2%, while the stacking ML technique provides 90.8% accuracy which compares well with those presented for previous studies in other parts of the world. …”

Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed (6488738)

“…Llama3 achieved a 20% to 40% reduction in model calls for regression tasks, whereas ChatGPT-3.5 reduced model calls by 60% for both regression and classification tasks, all while preserving accuracy and error rates. …”

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

“…Our study proposes using functional near infrared spectroscopy (fNIRS) combined with multiple machine learning models to assess the level of mental stress. …”
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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. …”

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

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

“…A comparative analysis was conducted against several state-of-the-art models over financial time-series datasets, and the results demonstrated the superior performance of our proposed model in terms of forecasting accuracy and predictive capability.…”

Emotion Recognition Based on Fusion of Local Cortical Activations and Dynamic Functional Networks Connectivity: An EEG Study by Yahya, Fares

“…In this paper, we present a method to improve emotion recognition based on the fusion of local cortical activations and dynamic functional network patterns. We estimate the cortical activations using power spectral density (PSD) with the Burg autoregressive model. …”
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Gas pipeline modelling and control by Whalley, R

“…The distributed parameter modelling of the gas flow through long pipelines is considered. …”
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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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Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids by Khayata, Mohammad Tarek

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Workplace Stress Management using EEG-fNIRS Data Fusion and Binaural Beat Stimulation by El Masri, Ghinwa

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Modeling of magnetization curves for computer-aided design by Abuelma’atti, M.T.

“…A simple algorithm is presented for obtaining the coefficients of the sine-series function for modelling the magnetization curves of magnetic materials. …”
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Wiener-Hammerstein Model Identification-Recursive lgorithms by Emara-Shabaik, Husam

“…Recursive algorithms for parameter estimation of Wiener-Hammerstein (W-H)models are developed. These algorithms are derived on the basis of minimizing cost functions of the output errors, the equation errors, and the prediction errors. …”
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Assessing left ventricular systolic function by emergency physician using point of care echocardiography compared to expert: systematic review and meta-analysis by Bilal Albaroudi (16122219)

“…Risk of bias was evaluated using Quality Assessment Tool for Diagnostic Accuracy Studies-2 tool. The level of agreement between clinician and expert sonographers was measured using kappa, sensitivity, specificity, positive and negative likelihood ratio statistics using random-effects models. …”

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)

“…A comparative analysis was conducted against several existing forecasting methods, utilizing error metrics and statistical tests on sixteen high frequency cryptocurrency time-series datasets, demonstrating that the proposed model outperforms others in terms of forecasting accuracy and risk assessment.…”

Machine Learning Model for a Sustainable Drilling Process by Alsaidi, Ola

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Modelling of multiple biodiesel-emitted nitrogen oxides using ANN approach by Siraj, Sayyed

“…The artificial neural network (ANN) is performed by considering physicochemical and thermal properties as a function. The ANN predicts the estimated NOx with an accuracy of 0.99.…”
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A General Model for Pointing Error of High Frequency Directional Antennas by Mohammad Taghi Dabiri (16904658)

“…For this aim, we first derive the probability density function (PDF) and cumulative distribution functions (CDF) of the pointing error between an unstable transmitter (Tx) and receiver (Rx), that have different antenna patterns and for which the vibrations are not similar in the Yaw and Pitch directions. …”