Deep learning models, particularly Convolutional Neural Networks (CNN), are the core technologies for current Chinese handwriting recognition. The workflow can be summarized in the following steps: ...

Armed with a paddle and basic gear, I set out on a 3-day journey deep into the Alaskan wilderness. From glacier-fed waters to remote campsites, this trip tested my endurance and offered unforgettable ...

Learning to fly fish is difficult. There are a lot of moving parts and knowledge needed. It is a lifelong learning journey. At first, it's frustrating, but the ...

Abstract: An XRF spectral feature extraction and classification method based on an EO-CNN model is proposed to address the complexities of soil spectral data and improve classification accuracy. The ...

Ranging from innovative pedagogy to inspiring first-generation learners, the awardees played a key role in shaping young ...

"In one of our studies, we rigged games so that people would either succeed or lose, and we found that they ended up having a stronger craving when they won." Given cravings' universal nature, experts ...

School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai, India Introduction: In recent years, Deep Learning (DL) architectures such as Convolutional Neural Network (CNN) ...

aElse Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany bDepartment of Medicine I, Faculty ...

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.

Abstract: In this work, we present a new CNN-based steganographic technique that can safely embed many picture layouts into a single host image. Our method efficiently hides different picture formats ...