This project delves into the experimental and statistical analysis of material selection factors such as availability, cost efficiency, and durability, tensile strength, and sagginess of materials that could be potentially used to build the seating area of a foldable wooden stool.

This paper describes how the need for better plastic waste management can be harmonized with the quest to find greener methods of construction.

This project investigates the application of different materials used as drying lines. It statistically analyzes three types of ropes: rubber, nylon, and sisal, to identify which of them would be the best for a dry line.

The availability of massive datasets and computation resources has made it possible to create deeper neural networks that are able to learn more meaningful representations of the data.