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2001“..., and their complex interactions. Integrating the power of optimization, machine learning, and agronomic insight, we...”
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2002“..., the prediction of slope failure using the machine learning (ML) approach is rapidly growing for the past few...”
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2003por Taher Hajilounezhad, Rina Bao, Kannappan Palaniappan, Filiz Bunyak, Prasad Calyam, Matthew R. Maschmann“... high-throughput virtual laboratory and image-based machine learning to relate CNT forest synthesis...”
Publicado 2021
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2004por Astrid Armgarth, Sandra Pantzare, Patrik Arven, Roman Lassnig, Hiroaki Jinno, Erik O. Gabrielsson, Yonatan Kifle, Dennis Cherian, Theresia Arbring Sjöström, Gautier Berthou, Jim Dowling, Takao Someya, J. Jacob Wikner, Göran Gustafsson, Daniel T. Simon, Magnus Berggren“...Abstract Body area networks (BANs), cloud computing, and machine learning are platforms that can...”
Publicado 2021
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2005“... studies have investigated Boltzmann machine learning using a quantum annealer. Previous developments have...”
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2006por Yong Wang, Junjie Wang, Andreas Hermann, Cong Liu, Hao Gao, Erio Tosatti, Hui-Tian Wang, Dingyu Xing, Jian Sun“..., using extensive molecular dynamics simulations based on both ab initio and machine-learning potentials...”
Publicado 2021
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2007por Elisabeth Sartoretti, Thomas Sartoretti, Michael Wyss, Carolin Reischauer, Luuk van Smoorenburg, Christoph A. Binkert, Sabine Sartoretti-Schefer, Manoj Mannil“...-processing, machine learning algorithms (multilayer perceptron machine learning algorithm; random forest...”
Publicado 2021
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2008por Dylan M. Richards, MacKenzie J. Tweardy, Steven R. Steinhubl, David W. Chestek, Terry L. Vanden Hoek, Karen A. Larimer, Stephan W. Wegerich“... retrospectively compare the performance of CDI to standard of care modalities, finding that the machine learning...”
Publicado 2021
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2009“... with artificial intelligence and machine learning systems. In this case, trust becomes a potential stumbling block...”
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2010por Satyabrata Sahoo, Saratchandra Swain, Ritesh Dash, Sanjeevikumar P., Jyotheeswara Reddy K., Vivekanandan Subburaj“... trading market. Electricity price forecasting plays a vital role. Time series based machine learning...”
Publicado 2021
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2011“... techniques have adopted machine learning-based generative methods such as generative adversarial networks...”
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2012“... machine learning algorithm (k-means) and singular spectrum analysis (SSA) technique to remove eye blink...”
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2013“... datasets were collected to predict the pseudo-ternary phase diagram by the machine learning methods. Random...”
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2014por Caio Eadi Stringari, Pedro Veras Guimarães, Jean-François Filipot, Fabien Leckler, Rui Duarte“.... In this paper we present a novel machine learning method to detect active wave breaking, that is, waves...”
Publicado 2021
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2015por Alan Mejia Maza, Seth Jarvis, Weaverly Colleen Lee, Thomas J. Cunningham, Giampietro Schiavo, Maria Secrier, Pietro Fratta, James N. Sleigh, Elizabeth M. C. Fisher, Carole H. Sudre“... to quantitatively define healthy and aberrant neuromuscular synapses and applies machine learning to diagnose NMJ...”
Publicado 2021
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2016“... tomography (NAQT), a fast, flexible machine-learning-based algorithm for QST that adapts measurements...”
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2017“... of machine learning models remarkably well-suited for materials applications. To date, a number of successful...”
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2018por Grzegorz Chrobak, Tomasz Kowalczyk, Thomas B. Fischer, Katarzyna Chrobak, Szymon Szewrański, Jan K. Kazak“... evaluation, especially if a single empirical approach is used. In this paper, results of machine learning...”
Publicado 2021
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2019por Fırat İLİM“... to be investigated not only for human beings, but also and especially for AI programs with regard to machine-learning...”
Publicado 2020
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2020“..., the travelling wave principle and more recently machine learning algorithms. These techniques require both...”
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