Zoekresultaten - "Machine Learning"

Biofeedback

Onderwerpen: “…neurofeedback, machine learning, artificial intelligence, pathophysiology, cloud computing, telemedicine…”
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New Insights into Bayesian Inference

Onderwerpen: “…sensitivity analysis, parameter estimation, hepatitis, machine-learning, rna-seq…”
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Wireless Sensor Networks Design, Deployment and Applications

Onderwerpen: “…machine learning, iot, connectivity, energy efficiency, energy, sensors…”
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Computational Optimization Techniques and Applications

Onderwerpen: “…machine learning, simulation, genetic algorithm, clustering, down syndrome, evolutionary algorithms…”
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Nanoinformatics door Isao Tanaka

Onderwerpen: “…Machine learning…”
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Boosting Foundations and Algorithms door Schapire, Robert E.

Onderwerpen: “…Machine learning bicssc…”
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Authors' Reply to: Minimizing Selection and Classification Biases Comment on "Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing" door Izquierdo, Jose Luis, Soriano, Joan B

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A Novel Machine Learning-Based Point-Score Model as a Non-Invasive Decision-Making Tool for Identifying Infected Ascites in Patients with Hydropic Decompensated Liver Cirrhosis: A Retrospective Multicentre Study door Silvia Würstle, Alexander Hapfelmeier, Siranush Karapetyan, Fabian Studen, Andriana Isaakidou, Tillman Schneider, Roland M. Schmid, Stefan von Delius, Felix Gundling, Julian Triebelhorn, Rainer Burgkart, Andreas Obermeier, Ulrich Mayr, Stephan Heller, Sebastian Rasch, Tobias Lahmer, Fabian Geisler, Benjamin Chan, Paul E. Turner, Kathrin Rothe, Christoph D. Spinner, Jochen Schneider

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Traditional Chinese Manual Therapy (Tuina) Improves Knee Osteoarthritis by Regulating Chondrocyte Autophagy and Apoptosis via the PI3K/AKT/mTOR Pathway: An in vivo Rat Experiment and Machine Learning Study door Wang Z, Xu H, Wang Z, Wang Y, Diao J, Chen J, Xie Y, Zhang L, Li M, Bian Y, Zhou Y

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The Contribution of Artificial Intelligence in Achieving the Sustainable Development Goals (SDGs): What Can Eye Health Can Learn From Commercial Industry and Early Lessons From the Application of Machine Learning in Eye Health Programmes door Nicholas Sawers, Nigel Bolster, Andrew Bastawrous

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Effects of opium use on one-year major adverse cardiovascular events (MACE) in the patients with ST-segment elevation MI undergoing primary PCI: a propensity score matched - machine learning based study door Yaser Jenab, Behnam Hedayat, Amirali Karimi, Sarah Taaghi, Seyyed Mojtaba Ghorashi, Hamed Ekhtiari

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A Machine Learning Algorithm for Quantitatively Diagnosing Oxidative Stress Risks in Healthy Adult Individuals Based on Health Space Methodology: A Proof-of-Concept Study Using Korean Cross-Sectional Cohort Data door Youjin Kim, Yunsoo Kim, Jiyoung Hwang, Tim J. van den Broek, Bumjo Oh, Ji Yeon Kim, Suzan Wopereis, Jildau Bouwman, Oran Kwon

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Handling highly imbalanced output class label: a case study on Fantasy Premier League (FPL) virtual player price changes prediction using machine learning / Muhammad Muhaimin Khamsan and Ruhaila Maskat door Khamsan, Muhammad Muhaimin, Maskat, Ruhaila

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Internet of Things New Trends, Challenges and Hurdles

Onderwerpen: “…machine learning…”
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Sustainable Smart Cities A Vision for Tomorrow

Onderwerpen: “…machine learning…”
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Mediterranean Identities Environment, Society, Culture

Onderwerpen: “…climate change, biodiversity, vegetation, mediterranean sea, machine learning, drought…”
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Advances in Security in Computing and Communications

Onderwerpen: “…machine learning, internet of things, algorithm, cybersecurity, information security, wsn…”
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eHealth Making Health Care Smarter

Onderwerpen: “…data mining, machine learning, sustainability, artificial intelligence, epidemiology, deep learning…”
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Artificial Intelligence Emerging Trends and Applications

Onderwerpen: “…deep learning, machine learning, optimization, cardiovascular disease, virtual reality, iot…”
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Data Mining

Onderwerpen: “…machine learning, aging, remote sensing, big data, ethics, random forest…”
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