Digital Library largedata resource lack of analysis and use, in order to mining the value of big data resources, proposed platformization analysis and processing mode. By integrate R and Hadoop to construct distribut...
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ISBN:
(纸本)9781467365932
Digital Library largedata resource lack of analysis and use, in order to mining the value of big data resources, proposed platformization analysis and processing mode. By integrate R and Hadoop to construct distributed dataanalysis platform, many big data analytical can be decomposed into "large" and "small" data processing section, overcome before scheme puzzle on analytical of largedataset, improve the performance of dataanalysis, platform able to handle dataanalysis tasks.
this article discusses the development of mathematical support and software for detecting anomalous behavior of users based on biometric characteristics of their behavior analysis. One of the challenges in intelligent...
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this article discusses the development of mathematical support and software for detecting anomalous behavior of users based on biometric characteristics of their behavior analysis. One of the challenges in intelligent UBA systems is acquisition of useful information from a large volumes of unstructured, unmatched data. Methods and algorithms of intelligent data processing and machine learning used in UBA/DSS systems help to work on a task of solving problems of dataanalysis of different directivities. It is proposed an application of machine learning methods in implementation of mobile UBA system. there was formed the list of the most significant factors submitted to the input of the analyzing methods during the study. Two approaches of detecting abnormal user behavior have been proposed. the application of machine learning techniques in intelligent UBA systems will make it possible to predict information risks and insider excfiltration of these organizations in advance. (C) 2021 the Authors. Published by Elsevier B.V.
Sensor based environmental monitoring is beginning to gain traction given the recent advancements in sensor development technology. Sensor platforms offer several advantages in comparison to the traditional monitoring...
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large-scale autoregressive text-to-speech (TTS) models can generate speech that is nearly indistinguishable from human speech. However, training large language models (LLMs) is challenging due to memory and computatio...
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ISBN:
(纸本)9798331516833;9798331516826
large-scale autoregressive text-to-speech (TTS) models can generate speech that is nearly indistinguishable from human speech. However, training large language models (LLMs) is challenging due to memory and computational constraints. this paper describes our TTS method for the 2024 Conversational Voice Clone Challenge (CoVoC). Our approach modifies the LauraGPT model to synthesize mixed Chinese and English text by expanding the Chinese pinyin vocabulary and reducing the number of layers in the decoder-only Transformer architecture. Despite using minimal training data, the performance gap between our method and other constrained systems is relatively small in both subjective and some objective evaluations. this paper discusses our attempt to train lightweight LLMs for zero-shot TTS and analyzes the factors contributing to low performance. Our audio samples can be accessed online(1).
We present a new method for analyzing classifiers by visualization, which we call visual nonlinear discriminant analysis. Classifiers that output posterior probabilities are visualized by embedding samples and classes...
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We face many possible problems/issues in our daily lives, such as potholes, garbage filling, uncomfortable parking, broken roads, etc. To report that kind of problem becomes a great hassle. To solve this problem we de...
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Sports datavisualization can be a useful tool for analyzing or presenting sports data. In this paper, we present a new technique to visualize and analyze shot-by-shot tactical patterns in tennis. Previous work in ten...
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ISBN:
(纸本)9783030337230;9783030337223
Sports datavisualization can be a useful tool for analyzing or presenting sports data. In this paper, we present a new technique to visualize and analyze shot-by-shot tactical patterns in tennis. Previous work in tennis dataanalysis and visualization focus more on high-level statistics and overviews such as heat-maps but did not handle data analytics at micro-level. Our visualization technique can reveal patterns and imbalances in a tennis match that lead to a deeper understanding of the game. We demonstrate the application and benefits of our visualization technique with case studies.
In this study, a method for hierarchical examination and visualization of GSM data using the Self-Organizing Map (SOM) is described. the data is examined in few phases. At first temporally averaged data is used and th...
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Visual data exploration is a useful means to extract relevant information from large sets of data. the visual analytics pipeline processes data recorded from the real world to extract knowledge from gathered data. Sub...
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ISBN:
(纸本)9789897583544
Visual data exploration is a useful means to extract relevant information from large sets of data. the visual analytics pipeline processes data recorded from the real world to extract knowledge from gathered data. Subsequently, the resulting knowledge is associated withthe real world and applied to it. However, the considered data for the analysis is usually only a small fraction of the actual real-world data and lacks above all in context information. It can easily happen that crucial context information is disregarded, leading to false conclusions about the real world. therefore, conclusions and reasoning based on the analysis of this data pertain to the world represented by the data, and may not be valid for the real world. the purpose of this paper is to raise awareness of this discrepancy between the data world and the real world which has a high impact on the validity of analysis results in the real world. We propose two strategies which help to identify and remove specific differences between the data world and the real world. the usefulness and applicability of our strategies are demonstrated via several use cases.
the mechanism of shockwave propagation in complex environments plays an important role in the damage and protection assessment. At present, domain experts are realizing shockwave propagation numerical simulations with...
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