Results 31 to 40 of about 105,297 (262)
Entropy, 2020 Automatic identification of human interaction is a challenging task especially in dynamic environments with cluttered backgrounds from video sequences.
Ahmad Jalal, Nida Khalid, Kibum Kim
doaj +1 more source
Remote Sensing, 2021 As satellite observation technology rapidly develops, the number of remote sensing (RS) images dramatically increases, and this leads RS image retrieval tasks to be more challenging in terms of speed and accuracy.
Zhen Wang +4 more
doaj +1 more source
Journal of Thermal Science and Technology, 2009 Plant shoot configurations evolve so that maximum sunlight may be obtained. The objective of this study is to develop a compact light-condensing system mimicking a plant shoot configuration that is applicable to a light source from a large area.
Shin'ya OBARA
doaj +1 more source
Frontiers in Physiology, 2019 AimsThis study used entropy- and cross entropy-based methods to explore the cardiorespiratory coupling of depressive patients, and thus to assess the values of those entropy methods for identifying depression patients with different disease severities ...
Lulu Zhao +3 more
doaj +1 more source
Semiparametric cross entropy for rare-event simulation [PDF]
Journal of Applied Probability, 2013 AbstractThe cross entropy is a well-known adaptive importance sampling method which requires estimating an optimal importance sampling distribution within a parametric class. In this paper we analyze an alternative version of the cross entropy, where the importance sampling distribution is selected instead within a general semiparametric class of ...
Botev, Z, Ridder, A, Rojas-Nandayapa, L
openaire +11 more sources
Entropy, 2019 The recognition of the voltage sag sources is the basis for formulating a voltage sag governance plan and clarifying the responsibility for the accident.
Yuting Pu +3 more
doaj +1 more source
Tsallis Entropy for Cross-Shareholding Network Configurations [PDF]
Entropy, 2020 In this work, we develop the Tsallis entropy approach for examining the cross-shareholding network of companies traded on the Italian stock market. In such a network, the nodes represent the companies, and the links represent the ownership. Within this context, we introduce the out-degree of the nodes—which represents the diversification—and the in ...
Giulia Rotundo +2 more
openaire +4 more sources
Production and Manufacturing Research: An Open Access Journal, 2016 This paper presents a model and an algorithm for an inventory ship routing problem (ISRP). It consists of two main parts: a model development of the ship routing problem in a multi-product inventory with a heterogeneous fleet and an algorithm development
Budi Santosa +2 more
doaj +1 more source
Unsupervised Anomaly Detection with Distillated Teacher-Student Network Ensemble
Entropy, 2021 We address the problem of unsupervised anomaly detection for multivariate data. Traditional machine learning based anomaly detection algorithms rely on specific assumptions of normal patterns and fail to model complex feature interactions and relations ...
Qinfeng Xiao +6 more
doaj +1 more source
Model Matching: A Novel Framework to use Clustering Strategy to Solve the Classification Problem
IEEE Access, 2019 It is a common practice to handle labeled data with classifiers and unlabeled ones with clusterings. The traditional Bayesian network classifiers (BNC$^{\mathcal {T}}\text{s}$ ) learned from labeled training set $\mathcal {T}$ directly map the unlabeled ...
Zhiyi Duan, Limin Wang, Minghui Sun
doaj +1 more source