Indiatimes

IISc CCE announces 6G ML course with Python, AI modules and evening online classes; check details here

The Indian Institute of Science has announced an online course on machine learning for 6G wireless communication under its Centre for Continuing Education (CCE). The programme is scheduled to run from ...
Hosted on MSN

Massive python taking over backyard pool

All of our submarines are missing He was merely digging a backyard pool. Suddenly, he hit an $800,000 gold treasure. Watch what happens when 5 killer whales target one whale – they rip it apart ...
IEEE

FPGA Implementation of Cotton Leaf Disease Detection Using CNN

Abstract: The work done here focuses on developing an innovative method for identifying plant diseases using Convolution Neural Networks (CNN) on the PYNQ FPGA platform. One of the advantages of ...
Frontiers

End-to-end 3D instance segmentation of synthetic data and embryo microscopy images with a 3D Mask R-CNN

In recent years, the exploitation of three-dimensional (3D) data in deep learning has gained momentum despite its inherent challenges. The necessity of 3D approaches arises from the limitations of two ...
IEEE

Python to FPGA: Automatic Implementation of custom CNN Model on FPGA

Abstract: With the rapid development of artificial intelligence neural network technology, the architecture of convolutional neural networks (CNNs) has been evolving towards greater complexity and ...
Scientific Research Publishing

Image Classification Based on Vision Transformer ()

This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising option ...
Scientific Research Publishing

Detection of Water Meter Digits Based on Improved Faster R-CNN ()

In order to more accurately detect the accuracy of word-wheel water meter digits, 2000 water meter pictures were produced, and an improved Faster-RCNN algorithm for detecting water meter digits was ...
GitHub

2D-CNN-Keras: Keras Implementation for 2dCNNs for Medical Images

More 2dCNN models will be added shortly. This code was developed and tested using Python 3.8.5. For the code to run as intended, all the packages under requirements ...