Nature

A novel approach in diagnosing knee osteoarthritis for content based image retrieval in big data analytics and medical images

The rapid growth in database size due to technological advances has led to difficulties in locating and accessing specific data components. While deep learning and other machine learning architectures ...
GitHub

Large Language Models (LLMs) with MATLAB®

This repository contains example code to demonstrate how to connect MATLAB to the OpenAI™ Chat Completions API (which powers ChatGPT™) as well as OpenAI Images API (which powers DALL·E™). This allows ...
IEEE

Image Quality Compression Based on Non-Zeroing Bit Truncation using Discrete Cosine Transform

Abstract: In tolerating errors there is the compaction of energy consumption and quality output will be get rid by approximate addition. The Data compression in images is the operation involves in the ...
Nature

Growth monitoring of greenhouse lettuce based on a convolutional neural network

Growth monitoring is essential for optimizing management and maximizing the production of greenhouse lettuce. Leaf fresh weight (LFW), leaf dry weight (LDW), and leaf area (LA) are critical indicators ...
Frontiers

Geometric Convolutional Neural Network for Analyzing Surface-Based Neuroimaging Data

In machine learning, one of the most popular deep learning methods is the convolutional neural network (CNN), which utilizes shared local filters and hierarchical information processing analogous to ...
PNAS

Dynamic neural architecture for social knowledge retrieval

Dynamic causal modeling to test the “ATL-hub” theory. PPI analysis does not provide information about the direction of causal influences between source and target regions, nor whether the connectivity ...