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

“…To enhance PV power probabilistic forecasting, this paper proposes a novel diffusion-based framework that leverages cross-attention on multi-resolution sky image patches. …”

A probabilistic characterization of adhesive wear in metals by Qureshi, F.S.

“…This paper treats these parameters as probabilistic quantities. Investigation of the model involved an experiment consisting of a pin-on-bushing machine. …”
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Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning by Zaib Akram (22224541)

“…These extracted features are then transferred into a refined probabilistic feature set, upon which we construct an ensemble model leveraging the strengths of Logistic Regression (LR), Random Forest (RF), and Gaussian Naive Bayes (GNB) classifiers. …”

A Decision Modelling Approach for Security Modules of Delegation Methods in Mobile Cloud Computing using Probabilistic Interval Neutrosophic Hesitant Fuzzy Set by AL HANTOOBI, SENDEYAH

“…The validation and evaluation of the proposed framework were conducted through model validation and decision evaluation procedures. …”
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Formal Verification- and AI/ML-Assisted Radio Resource Allocation for Open RAN Compliant 5G/6G Networks by Tariq Mumtaz (10861635)

Self-Supervised Learning Powered by Synthetic Data From Diffusion Models: Application to X-Ray Images by Abdullah Hosseini (22466602)

المسؤولية الجنائية عن أفعال كيانات الذكاء الاصطناعي غير المشروعة by AL - Adwan, Mamdouh Hassan

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Modeling and Delay Analysis of Intermittently Connected Roadside Communication Networks by Khabbaz, Maurice J.

“…A simulation framework is set up to validate these models. Results indicate the inefficiency of the typical Internet packet-like release mechanism as it incurs excessive bundle queueing delays. …”
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ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification by Md. Iqbal Hossain (723299)

“…This article aims to incorporate this disease and region-dependent prior probability distribution within a deep learning framework. We present the ThoraX-PriorNet, a novel attention-based CNN model for thoracic disease classification. …”

PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images by Kashif Munir (6182237)

“…Gaussian Naïve Bayes (GNB) utilizes a probabilistic framework based on Bayes’ theorem to manage uncertainty in feature distributions. …”

Modelling Risks for Physical Security Assets Development and Operation in High-Value Retailer Projects in the UAE by ALSHEBLI, SULAIMAN RASHED SAEED SULAIMAN

“…This exercise would generate thus a model which can be deployed by both the private and the public sectors for making better decisions regarding PSA investments, and obtaining best value. …”
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Electric Grid Resilience Enhancement During Natural Disasters: An Optimization-Based UAV Inspection and Dynamic Crew Dispatch Model by Serag, Yousef

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GIS-BIM Based Regional Seismic Risk Assessment for Dubai, UAE by Maky, Ahmed Mansour

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The potential of urban distributed solar energy in transition economies: The case of Beirut city by Eslami, Hossein

“…The proposed modeling framework together with the results obtained in this study will have important implications for energy policy makers in Lebanon and other transition economies.…”
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Global Sensitivity and Uncertainty Analysis of Asymmetric Bistable Energy Harvesters by Norenberg, Joao Pedro

“…To address uncertainties in system parameters, we employ a probabilistic framework incorporating Polynomial Chaos Expansion (PCE) and probabilistic maps. …”
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Stochastic optimization for strategic planning of efficient and sustainable hydrogen supply chain networks under demand uncertainty by Mohamed Amjath (17542512)

“…Demand uncertainty is modeled using discrete probabilistic realizations across multiple time periods. …”

A comprehensive survey to study the utilities of image segmentation methods in clinical routine by Rashmita Kumari Mohapatra (17726427)

“…The review examines about twenty-five automated and eleven semi-automatic approaches that include Probabilistic atlas, K-means, Model and knowledge-based (such as active appearance model, live wire), Graph cut, Region growing, Active contour-based, Expectation Maximization-based, Level sets, Laplacian network optimization, etc. …”

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

“…Furthermore, instead of using a single date satellite imagery, multiple satellite imageries with respect to the phenological cycle of Tobacco crop are temporally stacked together which resulted in a higher temporal resolution of the employed satellite imagery. The developed framework is trained using the ground truth data. The final output is obtained as an outcome of the SoftMax function of the developed model in the form of probabilistic values, for the classification of the selected classes. …”

3D Head Pose Estimation through Facial Features and Deep Convolutional Neural Networks by Khalil Khan (9333883)

“…In this paper we propose a 3D head pose estimation framework developed through a prior end to end deep face parsing model. …”

Assessing the Impact of Sustainability Risks on Disaster and Pandemic Vulnerabilities: A Global Perspective by Qazi, Abroon

“…Using a Bayesian Belief Network (BBN) framework, two probabilistic models were developed to evaluate the influence of SDG performance on disaster risk and COVID-19 vulnerability across 165 countries. …”
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