CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Soybean is one of the world’s major oil-bearing crops and occupies an important role in the daily diet of human beings. However, the frequent occurrence of soybean leaf diseases caused serious threats ...

1 College of Electronic Science and Technology, National University of Defense Technology, Changsha, China 2 College of Electronics and Internet of Things, Chongqing Polytechnic University of ...

Department of Applied Physics, Lanzhou University of Technology, Lanzhou, Gansu 730050, China College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

ProtGCN is a state-of-the-art neural network model for predicting amino acid sequences from protein backbone structures using Graph Convolutional Networks. This tool represents a significant ...

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the "space" in which AI "thinks" can ...

The new chronograph continues a design ethos established decades ago by Professor Ferdinand Alexander Porsche, the visionary behind the iconic Porsche 911 sports car. In 1972, F. A. Porsche ...

Abstract: This paper explores the integration of Convolutional Neural Networks (CNN) and Reinforcement Learning for in-vehicle visual recognition systems. Firstly, the importance of an in-vehicle ...