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18 results with keyword: 'short forecasting stacked extreme learning machine generalized correntropy'

Short-Term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy

3) Specifically, through the comparisons with some recent methods, such as deep-learning-based DNN [12], the ef- fectiveness of our proposed model is validated on the short-term

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2009 Japan-Russia Energy and Environment Dialogue in Niigata S2-6 TANAKA ERINA

• Usual mining • Usual mining – Rock (Consolidated) Methane Hydrate • Methane Hydrate – Unconsolidated material – Deep sea... Hard Rock Hard Rock Hard Rock

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Falklands oils Kicking up a storm in the South Atlantic Oil & gas sector February 2012

Both Northern Basin operators concentrated on drilling wells below the sealing source rock to ensure the targeted reservoirs had access to hydrocarbon migration, and, although

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Kinesics and proxemics communication of expert and novice PE teachers

Jonsson Abstract: The aim of the study is to analyse the sequential paraverbal communication used while teaching by expert and novice PE teachers.. Four expert and four

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广 东 培 正 学 院 2016 年 本 科 插 班 生 专 业 课 考 试 大 纲 基 础 英 语 课 程 考 试 大 纲

Please mark the corresponding letter for each item on Answer Sheet with a single line through the centre.. It was ______ of you to interrupt that lady when she

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Hospitals Meet Security Challenges With Integrated Solutions

When evaluating intrusion detection, card access control, and video surveillance systems, require that your vendors show how integration of these security functions can

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2021
Processing, Characterization and Wear Response Of Particulate Filled Epoxy Based Hybrid Composites.

It is arbitrarily defined as a variety of natural or synthetic solid particulates (inorganic, organic) that may be irregular, acicular, fibrous or flakey. The improved

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Low-dose CT with adaptive statistical iterative reconstruction for evaluation of urinary stone

Purpose: To prospectively determine the diagnostic performance of low-dose CT (LDCT) with adaptive statistical iterative reconstruction (ASIR) technique for the detection of

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2020
Estimating the modulatory effects of nanoparticles on neuronal circuits using computational upscaling

To simulate the effects of cAgNP in contact with thalamic cells, ie, STC, NSTC, and RTN, respectively, the changes of the intrinsic currents that we identified by fitting

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2020
Theory of turbo machinery / Turbomaskinernas teori. Chapter 3

Lift and drag forces exerted by a cascade blade (of unit span) upon the fluid..

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USING GENETIC ALGORITHM IN NETWORK SECURITY

About the other implementations of the same problem, this implementation considers both temporal and spatial information of network connections in encoding the

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Changes in bone mineral density over 10 years in patients with early rheumatoid arthritis

In women, postmenopausal status was associated with lower Z- scores in the femoral neck after adjustment for BMI and smoking, whereas treat- ment with HRT at baseline was

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Standardization of Seismic Tomographic Models and Earthquake Focal Mechanisms Datasets Based on Web Technologies, Visualization with Keyhole Markup Language

Tomographic models appear as a hierarchical tree in the Google Earth location sidebar, which provides a simple user interface for comparisons between different depth levels within

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Common Tariff K

- 9% for copyright and 2.7% for neighbouring rights, in the case of events in venues or on grounds with a capacity of 1,000 persons or less. - 8% for copyright and 2.4%

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TFCMA-DRL: Tolerant Flexible Coordinated Multi-Agent Deep Reinforcement Learning for Prediction of Future Stock Price Trends from Multi-Source Data

Keywords: Stock market forecasting, Stock prediction, Sentiment analysis, Event extraction, Extreme learning machine, Restricted boltzmann machine, Tolerant

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Online Monitoring of Software System Reliability

2.  A refinement phase, where data that become available as the execution proceeds are used to refine the model results.    A dynamic analysis tool is used to

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Embryonic mesoderm and endoderm induction requires the actions of non embryonic Nodal related ligands and Mxtx2

In conclusion, this study elucidates essential molecular inputs underlying three central embryonic patterning events: the early activation of a Nodal-related gene (ndr2), which

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Super Resolution Image Reconstruction Using Linear Regression Regularized Sparse Representation

The single-image super-resolution issue demands: Given a low-resolution image L, recuperate a higher-resolution image H of the same scene. Two imperatives are demonstrated in this

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