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Newspaper article-based agent control in smart city simulations

Published in Human-centric Computing and Information Sciences

The latest research on smart city technologies mainly focuses on utilizing cities’ resources to improve the quality of the lives of citizens. Diverse kinds of control signals from massive systems and devices such as adaptive traffic light systems in smart cities can be collected and utilized. Unfortunately, it is difficult to collect a massive data...

Categorizing Malware via A Word2Vec-based Temporal Convolutional Network Scheme

Published in Journal of Cloud Computing

As edge computing paradigm achieves great popularity in recent years, there remain some technical challenges that must be addressed to guarantee smart device security in Internet of Things (IoT) environment. Generally, smart devices transmit individual data across the IoT for various purposes nowadays, and it will cause losses and impose a huge thr...

The VINITI RAS Automatic Text Classification System for Processing the Flow of Scientific Publications

Published in Automatic Documentation and Mathematical Linguistics

AbstractThis paper presents the results of the development and testing of an automatic classification system for scientific texts that provides the functionality to determine the topic of texts by three classification schemes in batch and dialog modes. The structural and functional components, the methods used to assess the quality of classificatio...

A Sentiment-Statistical Approach for Identifying Problematic Mobile App Updates Based on User Reviews

Mobile applications (apps) on IOS and Android devices are mostly maintained and updated via Apple Appstore and Google Play, respectively, where the users are allowed to provide reviews regarding their satisfaction towards particular apps. Despite the importance of user reviews towards mobile app maintenance and evolution, it is time-consuming and i...

WET : Word embedding-topic distribution vectors for MOOC video lectures dataset

In this article, we present a dataset containing word embeddings and document topic distribution vectors generated from MOOCs video lecture transcripts. Transcripts of 12,032 video lectures from 200 courses were collected from Coursera learning platform. This large corpus of transcripts was used as input to two well-known NLP techniques, namely Wor...

Decentralizing Large-Scale Natural Language Processing with Federated Learning / Decentralisering av storskalig naturlig...

Natural Language Processing (NLP) is one of the most popular and visible forms of Artificial Intelligence in recent years. This is partly because it has to do with a common characteristic of human beings: language. NLP applications allow to create new services in the industrial sector in order to offer new solutions and provide significant producti...

Decentralized Large-Scale Natural Language Processing Using Gossip Learning / Decentraliserad Storskalig Naturlig Språkb...

The field of Natural Language Processing in machine learning has seen rising popularity and use in recent years. The nature of Natural Language Processing, which deals with natural human language and computers, has led to the research and development of many algorithms that produce word embeddings. One of the most widely-used of these algorithms is...