Results 31 to 40 of about 27,878 (280)
Human Activity Recognition Based on Symbolic Representation Algorithms for Inertial Sensors
Mobile sensing has allowed the emergence of a variety of solutions related to the monitoring and recognition of human activities (HAR). Such solutions have been implemented in smartphones for the purpose of better understanding human behavior.
Wesllen Sousa Lima +3 more
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This paper addresses a major utility and regulator concern of characterizing customer net electricity consumption profiles to realize integrated distribution system planning.
Michael Emmanuel, Julieta Giraldez
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Animal Cognition, Species Invariantism, and Mathematical Realism [PDF]
What can we infer from numerical cognition about mathematical realism? In this paper, I will consider one aspect of numerical cognition that has received little attention in the literature: the remarkable similarities of numerical cognitive capacities ...
De Cruz, Helen
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The phenomenon of big data has occurred in many fields of knowledge, one of which is astronomy. One example of a large dataset in astronomy is that of numerically integrated time series asteroid orbital elements from a time span of millions to billions ...
Lala Septem Riza +5 more
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Abridged Symbolic Representation of Time Series for Clustering
In recent years a couple of methods aimed at time series symbolic representation have been introduced or developed. This activity is mainly justified by practical considerations such memory savings or fast data base searching.
Jerzy Korzeniewski
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Finding the different patterns in buildings data using bag of words representation with clustering
The understanding of the buildings operation has become a challenging task due to the large amount of data recorded in energy efficient buildings. Still, today the experts use visual tools for analyzing the data.
Habib, Usman, Zucker, Gerhard
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Compositional Performance Modelling with the TIPPtool [PDF]
Stochastic process algebras have been proposed as compositional specification formalisms for performance models. In this paper, we describe a tool which aims at realising all beneficial aspects of compositional performance modelling, the TIPPtool.
C. Baier +8 more
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An Optimal Linear Time Algorithm for Quasi-Monotonic Segmentation [PDF]
Monotonicity is a simple yet significant qualitative characteristic. We consider the problem of segmenting a sequence in up to K segments. We want segments to be as monotonic as possible and to alternate signs.
Bingham E. +13 more
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In this work, we study the task of predicting the closing price of the following day of a stock, based on technical analysis, news articles and public opinions.
Foteini Kollintza-Kyriakoulia +2 more
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Accurately diagnosing blockages in a threshing cylinder is crucial for ensuring efficiency and quality in combine harvester operations. However, in terms of blockage diagnostic methods, the current state of affairs is characterized by model-based ...
Yehong Liu +7 more
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