Recurrent Neural Networks (RNNs) are used for sequence recognition tasks such as
Handwritten Text Recognition (HTR) or speech recognition. If trained with the Connectionist …

In two-dimensional chromatography, the orthogonality of separation is important for
achieving high peak capacity. In this paper, a number of different metrics are compared as …

In order to lower the ramp risk and improve the aircraft ground handling efficiency, we aim to:
1) track ground support equipment (GSE) in a real-time and high-accuracy manner so that …

Nuclear magnetic resonance (NMR) spectroscopy is an effective tool for identifying
molecules in a sample. Although many previously observed NMR spectra are accumulated …

Recently, advanced text-mining techniques have been shown to speed up manual data
curation by providing human annotators with automated pre-annotations generated by rules …

We study algorithms for solving three problems on strings. These are sorting of n strings of
length k,“the Most Frequent String Search Problem”, and “searching intersection of two …

We present a novel paradigm of opportunistic networks or oppnets in the context of
emergency preparedness and response (EPR). Oppnets constitute the category of ad hoc …

A malware signature including behavioral artifacts, namely Indicator of Compromise (IOC)
plays an important role in security operations, such as endpoint detection and incident …

(东北大学计算机科学与工程学院, 沈阳110169) 摘要区块链是在数字加密货币的应用基础之上
发展起来的一种分布式数据库技术. 区块链系统具有去中心化, 不可篡改, 分布共识 …

Augmenting an existing sequential data structure with extra information to support greater
functionality is a widely used technique. For example, search trees are augmented to build …