and application size requirements on runtime. For example, a neural network performing lane detection in a car needs to have low latency and a small runtime application. On the other hand, datacenter identifying objects in video streams needs to process thousands of video streams simultaneously, ...
An artificial neural network-based pattern classification system is applied to seismic event detection. We have designed two types of Artificial Neural Detector (AND) for real-time earthquake detection. Type A artificial neural detector (AND-A) uses the recursive STA/LTA time series as input data...
Using Artificial Neural Network Classification and Invention of Intrusion in Network Intrusion Detection System In this paper we have to detect attack and classify attack In a NIDS and categorized them, IDS is important for protecting computer system and network from Misuse.IDS is an one type of ...
Being a preliminary study, no experimental data has been included, since no information was found in the literature where neural networks were used in determining the type of damage on a structure. This paper includes a discussion on the theory of neural network and the process involved in ...
In this paper, a neural network based algorithm is used in the intrusion detection. Moreover, we propose a fusion method combine several neural network classifiers. Experimental results show that the proposed method is an encouraging intrusion detection manner.关键词: intrusion detection Artificial Neu...
Pytel, "Artificial neural network as a FPGA trigger for a detection of very inclined air showers," IEEE Trans. Nucl. Science, vol. 62, no. 3, pp. 1002-1009, Jun. 2015... Z Szadkowski,K Pytel 被引量: 0发表: 2014年 Hardware-based image processing for high-speed inspection of grains...
The timely detection of defects in wood helps optimize operation of sawmills and find effective log processing solutions. This paper aims to develop effective method for automated wood defect detection and recognition in CT images using a multiple-layer convolutional neural network and a reinforcement ...
An Artificial Neural Network (ANN) is defined as a computational model that imitates the functioning of biological neurons. It consists of input, hidden, and output layers, processing molecular information to produce biological activity or properties as output. ...
论文阅读:Detection of Sleep Apnea from Single-Lead ECG Signal Using a Time Window Artificial Neural Network 一、摘要 在这个研究中,我们开发了一个时间窗人工神经网络,该网络可以利用ECG信号段之间的时间依赖性,并且不需要关于训练数据分布的任何先验假设。通过在真实的ECG信号数据集上进行验证,与传统的非时间窗...
An artificial-neural-network-based detector of pharyngeal wall vibration (PWV) is presented. PWV signals the imminent occurrence of obstructive sleep apnoea (OSA) in adults who suffer from OSA syndrome. Automated detection of PWV is very important in enhancing continuous positive airway pressure (CPAP...