Nature

CNN-based classifier for automated identification of magnetic states in spin dynamics simulations

The identification and classification of different magnetic states are essential for understanding the complex behavior of magnetic systems. Traditional approaches that rely on handcrafted features or ...
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 ...
LinkedIn

Python Workflows in Petrel, for Everyone: Meet Prizm Workflow Runner

Over the last few years, Python Tool Pro has reshaped how subsurface teams use Petrel. Tasks that once took hours of manual clicking can now be automated, scaled, and repeated with just a few lines of ...
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

Mask R-CNN for Object Detection and Segmentation

This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature ...
LinkedIn

Python for Climate Data Analysis: A Tutorial + Code

a. I have been lucky to be in a position that I can have a positive impact on the career of hundreds (if not thousands) of people. Fortunately, I feel relatively secure in my career and I have ...
Nature

Cell segmentation for immunofluorescence multiplexed images using two-stage domain adaptation and weakly labeled data for pre-training

Cellular profiling with multiplexed immunofluorescence (MxIF) images can contribute to a more accurate patient stratification for immunotherapy. Accurate cell segmentation of the MxIF images is an ...