Project UPWARDS has culminated in the manufacture, physical testing and validation of a disposal-ready Universal Canister System for used nuclear fuel and high-level radioactive waste from advanced ...
Pre-med students in a Biology course measure urban air quality in collaboration with citizen-scientists from the local community; students in a 300-level Business seminar design improvements to a ...
Conceptual render of the Digitally Enabled Efficient Propeller (D.E.E.P) (Credit: Enki Marine) Consortium members at the project kick-off meeting at DEEP Manufacturing’s HQ in Bristol (Credit: D.E.E.P ...
Abstract: This senior thesis develops a real-time handwritten digit identification system using a Raspberry Pi 3B+ with a camera module, leveraging a lightweight CNN optimized with MNIST. The project ...
When the European Union unveiled plans on 6 May this year to wean itself off Russian gas, special mention was reserved for one gas field expected to help the bloc make up for lost flows from the East.
This project implements a CNN-based image classification model using the MNIST dataset to recognize handwritten digits from 0 to 9. It is built using TensorFlow, trained in Google Colab, and ...
Learn how to train a neural network to recognize hand-drawn digits using PyTorch! A fun and beginner-friendly intro to deep learning and computer vision. Texas defunds border wall Caitlin Clark, a ...
First, we are using the full SVHN dataset, this dataset needs to be prepared, it contains multiple classes for folders, etc. the key to dealing with it is to be able to extract the images' ...
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