In this paper, we introduce an “on the device” text line recognition framework that is
designed for mobile or embedded systems. We consider per-character segmentation as a …

This paper analyzes the problems of document image recognition and the existing solutions.
Document recognition algorithms have been studied for quite a long time, but despite this …

Variable refrigerant flow (VRF) systems are widely-adopted air conditioning systems. When
system faults occur in VRF systems, the efficiency of VRF system will drop drastically. This …

A key requirement for supervised machine learning is labeled training data, which is created
by annotating unlabeled data with the appropriate class. Because this process can in many …

Recently, many exciting usage scenarios and groundbreaking technologies for sixth
generation (6G) networks have drawn more and more attention. The revolution of 6G mainly …

Deep learning techniques and tools have experienced enormous growth and widespread
diffusion in recent years. Among the areas where deep learning has become more …

Ensemble methods have been widely used for improving the results of the best single
classification model. A large body of works have achieved better performance mainly by …

Deep convolutional neural networks are one of the most successful types of neural networks
widely used in image processing and pattern recognition. These networks involve many …

Image classification is a cornerstone of computer vision and plays a crucial role in various
fields. This paper pays close attention to some traditional deep-learning approaches to …

Capitalizing on rapid carrier migration characteristics and outstanding photoelectric
conversion performance, halide perovskite memristors demonstrate an exceptional resistive …