WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...

Abstract: Convolution is the most time-consuming operation in modern deep artificial neural networks, so its performance is crucial for fast inference. One of the standard approaches to fast ...

This study aims to explore the optimization role of deep learning technology in sales order management for smart manufacturing enterprises within the context of the digital economy, as well as its ...

Aiming at the problems of traditional image super-resolution reconstruction algorithms in the image reconstruction process, such as small receptive field, insufficient multi-scale feature extraction, ...

ABSTRACT: The development of new technologies in smart cities is often hailed as it becomes a necessity to solve many problems like energy consumption and transportation. Wireless networks are part of ...

This repository provides an official CUDA/cuDNN-accelerated extension of the Neural Network Libraries deep learning framework. See Mixed precision training tutorial for a stable training technique ...

In order to address the challenges of identifying, detecting, and tracking moving objects in video surveillance, this paper emphasizes image-based dynamic entity detection. It delves into the ...

This comprehensive article dissects sparse interactions, parameter sharing, pooling, and their profound impact on model efficiency. Delve into convolution as a potent prior, explore variants of the ...

Diagnosis of shockable rhythms leading to defibrillation remains integral to improving out‐of‐hospital cardiac arrest outcomes. New machine learning techniques have emerged to diagnose arrhythmias on ...

Hyperspectral images are a valuable tool for remotely sensing important characteristics of a variety of landscapes, including water quality and the status of marine disasters. However, hyperspectral ...

Abstract: This article presents a new convolution algorithm: convolution kernel first operated (CKFO), which can solve the problem that the actual calculation is not reduced after pruning the weight ...

The tomato crop is an important staple in the ‎market and it is one of the most common crops daily ‎consumed. Plant or crop diseases cause reduction of quality and quantity of the production; ...