Standards Research Data

The age of Artificial Intelligence (AI) is coming. Since Natural Language Processing (NLP) is a core AI technology for communication between humans and devices, it is vital to understand technological trends. Early research on NLP focused on syntactic processing such as information extraction and subject modeling but later developed into the semantic-oriented analysis. To analyze technological trends concerning NLP, especially semantic analysis, patent data that contains objective and extensive information is analyzed.

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The dataset is system activities captured by Procmon on Windows, including running malware WannaPeace and Infostealer.Dexter.

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332 Views

Considering the ongoing works in Natural Language Processing (NLP) with the Nepali language, it is evident that the use of Artificial Intelligence and NLP on this Devanagari script has still a long way to go. The Nepali language is complex in itself and requires multi-dimensional approaches for pre-processing the unstructured text and training the machines to comprehend the language competently. There seemed a need for a comprehensive Nepali language text corpus containing texts from domains such as News, Finance, Sports, Entertainment, Health, Literature, Technology.

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6712 Views

Dataset used in the article entitled 'Synthetic Datasets Generator for Testing Information Visualization and Machine Learning Techniques and Tools'. These datasets can be used to test several characteristics in machine learning and data processing algorithms.

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1124 Views

This data set includes the experimental results of our submitted paper "Performance Evaluation and Enhancement of Satellite Networks: A complex network perspective".

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The data is collected from database WIND for equipment manufacuturing industries in China. The sample period is from 2008 to 2014.

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a research data about campaign participation in Surabaya City 2015

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We obtained 6 million instances to be used as an analysis for modelling CO2 behavior. The Data Logging and sensors nodes acquisition are every 1 second.

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677 Views

These solutions can be applied to future developments pertaining to time domain solvers.

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167 Views

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