OTC_Advisor is an interactive R Shiny application designed to evaluate and visualize Outdoor Thermal Comfort (OTC) in urban outdoor spaces. The tool allows users to upload meteorological data, apply machine learning models for thermal comfort classification, visualize results on dynamic maps, and export outputs in multiple formats. This modular approach enables urban planners, researchers, and technicians to quickly assess perceived thermal sensation at different locations and times, supporting decisions on urban design, climate mitigation, and environmental intervention. Anonymized version of the project for blind peer review.
Abstract The rapid growth of data-intensive applications has necessitated the development of scalable and efficient architectures for cloud-based machine learning and data analysis. This study proposes a scalable, distributed, and fault-tolerant architecture designed to address t…
This repository contains the R code used in the paper "Bayesian Additive Regression Trees for Circular Data: A Machine Learning Framework" by Talal Kurdi and Saralees Nadarajah. The code implements Bayesian Additive Regression Trees (BART) methods for regression with circular dat…
Machine learning systems do not learn reality directly; they learn from the representations preserved in their datasets. This structured narrative review examines how dataset purpose, coverage, integrity, labeling, independence, reproducibility, governance, and continuity determi…
Executive Summary RAQA-Weather is a comprehensive weather intelligence system designed for Iran that combines real-time web scraping, machine learning-based spatial prediction, and interactive visualization. The system processes data from 17 synoptic stations across Iran and gene…
The application of machine learning in healthcare presents unprecedented opportunities for optimizing hospital flow and mitigating surgical delays. However, the deployment of clinical decision support systems is frequently bottlenecked by the fragmented, unstructured nature of El…
The digital landscape is undergoing a seismic shift, moving beyond the era of simple data storage into an age where the true value of information lies in its ability to forecast the future. AI-Powered Predictive Analytics for Intelligent Decision Support Systems is designed as a…