This paper investigates the application of Convolutional Neural Networks (CNNs) in MNIST handwritten digit recognition, with a particular focus on optimizing the ResNet-18 model. By introducing ...

Recognizing handwritten digits poses a significant challenge in machine learning and image processing due to the inherent variations in individual writing styles, sizes, curves, strokes, and ...

Brain-machine interfaces (BMIs) are becoming lifelines for people facing severe motor impairments. For many individuals with conditions like amyotrophic lateral sclerosis (ALS) or spinal cord injuries ...