AZoM

Why Deep Learning De-Noising is a Game Changer for X-Ray Technology

Innovative X-ray technology from Hamamatsu Photonics improves safety standards in food and non-destructive testing through ...
CNN

How CNN conducted its deep dive into independent US adults

The survey was conducted both online and by telephone from August 21 through September 1. The 2,077 adults who took the poll were selected from two sample sources – the SSRS Opinion Panel and a list ...
Frontiers

MLVI-CNN: a hyperspectral stress detection framework using machine learning-optimized indices and deep learning for precision agriculture

Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...
Today

Is Your Child's Backpack Too Heavy? A Pediatrician Shares How to Tell

Is your kid’s backpack too heavy? Florida pediatrician Gabriella Dauer is sounding the alarm on how kids who carry “large, heavy backpacks” can develop pain and injuries. Dauer’s solution comes in ...
IEEE

IMed-CNN: Ensemble Learning Approach With Systematic Model Dropout for Enhanced Medical Image Classification Using Image Channels and Pixel Intervals

Abstract: To obtain light ensemble model through clearly explained effective ensemble member selection and finding data representation in various valuable forms are major challenges in medical image ...
TechCrunch

Google rolls out Gemini Deep Think AI, a reasoning model that tests multiple ideas in parallel

Google DeepMind is rolling out Gemini 2.5 Deep Think, which, the company says, is its most advanced AI reasoning model, able to answer questions by exploring and considering multiple ideas ...
C&EN

D-Blur: A Deep Learning Approach for Mapping Subdiffraction Diffusion with Motion-Blurred Images

Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States ...
Cancer Research

Multitask Deep Learning Based on Longitudinal CT Images Facilitates Prediction of Lymph Node Metastasis and Survival in Chemotherapy-Treated Gastric Cancer

1Department of Radiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. 2Guangdong Provincial Key Laboratory of ...
IEEE

Classification Based Deep Learning Models for Lung Cancer and Disease Using Medical Images

Abstract: The use of deep learning (DL) in medical image analysis has significantly improved the ability to predict lung cancer. In this study, we introduce a novel deep convolutional neural network ...
GitHub

paramvarsha12/Bear-Image-Classifier

classify.py is the main python file that trains the model to recognise different types of bears by learning from images We use a neural network (CNN) here to look at 50-100 images of each type of bear ...