Abstract: Hand written digit recognition is a fundamental problem, that still exists, in computer vision. The complexity arises due to variation in handwriting styles. This paper uses the MNIST ...

Deep Fission has started drilling for its first-of-a-kind "gravity reactor" project in Kansas, which places a 15-megawatt reactor 6,000 feet underground to cut operational costs by up to 80%. The ...

When we design a microcontroller (MCU) project, we normally leave a few port lines unused, so that last-minute requirements can be met. Invariably, even those lines also get utilized as the project ...

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to ...

The ongoing revolution in deep learning is reshaping research across many fields, including economics. Its effects are especially clear in solving dynamic economic models. These models often lack ...

Accurate gait-phase identification in children with Cerebral Palsy (CP) constitutes a pivotal prerequisite for evidence-based rehabilitation. Addressing the precise detection of gait disturbances ...

• Architecture: 4-layer CNN (convolutional layers with 32, 64, 128, and 256 filters) → Max pooling → Dropout → Fully connected layers. • Training: Dataset: MNIST (28×28 grayscale digits).

Abstract: Handwritten digit recognition plays a crucial role in applications like automated form processing and character recognition software. This study explores how well the traditional K-Nearest ...