2 · Chinese property giant Evergrande's debt woes are now expected to dramatically slow down growth in the world's second biggest economy. Like 130 nations around the world, China is Australia's ...
Department of Management and Economics, University of Madeira, Campus da Penteada, 9000-390 Funchal, Portugal. Interests: labor economics; macroeconomics; industrial organization. Special Issues and Collections in MDPI journals. Special Issue in Economies: Labor and …
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In this paper, tools from machine learning community, such as Bayesian filtering and expectation maximization parameter estimation, are presented and employed for laser amplitude and phase noise characterization. We show that phase noise estimation based on Bayesian filtering outperforms conventional time-domain approach in the presence of moderate measurement noise.
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2 · The CIA's new 'China Mission Center' was unveiled as a report claimed that U.S. special operations forces and Marines had been secretly operating in Taiwan to train military forces for a year.
Particle filters or Sequential Monte Carlo methods are a set of Monte Carlo algorithms used to solve filtering problems arising in signal processing and Bayesian statistical inference.The filtering problem consists of estimating the internal states in dynamical systems when partial observations are made, and random perturbations are present in the sensors as well as in the dynamical system.
May 28, 2021· 1.1. General Context of Machine Learning in Agriculture. Modern agriculture has to cope with several challenges, including the increasing call for food, as a consequence of the global explosion of earth's population, climate changes [], natural resources depletion [], alteration of dietary choices [], as well as safety and health concerns [].As a means of addressing the above issues, placing ...
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Aug 26, 2021· Secondary structure plays an important role in determining the function of noncoding RNAs. Hence, identifying RNA secondary structures is of great value to research. Computational prediction is a mainstream approach for predicting RNA secondary structure. Unfortunately, even though new methods have been proposed over the past 40 years, the performance of computational …
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Jun 16, 2019· Intrusion detection system (IDS) can effectively identify anomaly behaviors in the network; however, it still has low detection rate and high false alarm rate especially for anomalies with fewer records. In this paper, we propose an effective IDS by using hybrid data optimization which consists of two parts: data sampling and feature selection, called DO_IDS.
select article A framework for smart control using machine-learning modeling for processes with closed-loop control in Industry 4.0 ... Predicting Chinese total retail sales of consumer goods by employing an extended discrete grey polynomial model ... select article A novel neural network based on dynamic time warping and Kalman filter for real ...
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A portable sitting posture monitoring system was developed for sitting posture recognition. The proposed system was designed to recognize seven types of sitting postures, including sitting upright, leaning forward, leaning backward, leaning left, leaning right, left foot on right thigh and right foot on left thigh.
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