What is CNN in Deep Learning? The AI Behind Computer Vision

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
IEEE

A Novel Transformer-CNN Hybrid Deep Learning Architecture for Robust Broad-Coverage Diagnosis of Eye Diseases on Color Fundus Images

Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is ...
IEEE

Tiny-CNN for Classification of Motor Bearing Damages using Thermal Images

Abstract: Induction Motors are critical components in industrial applications. They are considered the most influential mover because of their simple and reliable construction. Induction motor ...
IEEE

Development of Robust CNN Architecture for Grading and Classification of Renal Cell Carcinoma Histology Images

Abstract: Kidney cancer is a commonly diagnosed cancer disease in recent years, and Renal Cell Carcinoma (RCC) is the most common kidney cancer responsible for 80% to 85% of all renal tumors. The ...
Android Authority

Gemini's new interactive images turn diagrams into deep-dive tools

Gemini can now create interactive images. The new interactive images feature is designed to help users understand complex academic concepts. Clicking or tapping on a label in the interactive image ...
CNN

Scientist turns people’s mental images into text using ‘mind-captioning’ technology

A scientist in Japan has developed a technique that uses brain scans and artificial intelligence to turn a person’s mental images into accurate, descriptive sentences. While there has been progress in ...
IEEE

Tiny-MobileNet-SE: A Hybrid Lightweight CNN Architecture for Resource-Constrained IoT Devices

Abstract: Traditional Convolutional Neural Network (CNN) architectures face challenges in deployment on resource-constrained devices such as Internet of Things (IoT) platforms, mobile applications, ...
IEEE

Optimized CNN Architecture based on Mutant Particle Swarm Optimization and Opposition Based Learning for Image Classification

Abstract: Recent improvements in Convolution Neural Networks (CNN) have demonstrated extraordinary performance in solving real-world problems. However, the performance of CNN depends purely on its ...
IEEE

An Attention Architecture With Twice Attention Convolution and Simplified Transformer for Hyperspectral Image Classification

Abstract: Convolutional neural network (CNN) and transformer-based hybrid models have been successfully applied to hyperspectral image (HSI) classification, enhancing the local feature extraction ...
CNN

Saying ‘screw you’ through architecture: America’s spite houses

It all started out because he was playing around on Google Earth. Aaron Jackson was at a crossroads. He was living in New York City and working at a nonprofit when the city was devastated by ...