Abstract: This paper proposes a novel object classification system integrating a dual-imaging CMOS Image Sensor (CIS) with a real-time Gumbel-Softmax-based threshold selection module to address ...

Learn how Log Softmax works and how to implement it in Python with this beginner-friendly guide. Understand the concept, see practical examples, and apply it to your deep learning projects.

The proliferation of deepfake technologies presents serious challenges for forensic speech authentication. We propose a deep learning framework combining Convolutional Neural Networks (CNNs) and Long ...

The identification of wheat infections has always been a considerable problem in agricultural forecasting. This paper presents an automated classification framework for wheat illnesses utilising ...

Recent research has focused on multimodal medical image segmentation. A cascaded V-net and H-DenseUNet approach have improved Dice scores, but at the expense of high computational complexity.

This repository contains my implementation of a feed-forward neural network classifier in Python and Keras, trained on the Fashion-MNIST dataset. It closely follows the tutorial by The Clever ...

ABSTRACT: The rapid evolution of land use patterns in Lusaka presents significant challenges for sustainable urban development and resource management. This study employs a time-series analysis of ...