Results 201 to 210 of about 15,516,545 (384)

Open-vocabulary Pick and Place via Patch-level Semantic Maps [PDF]

arXiv
Controlling robots through natural language instructions in open-vocabulary scenarios is pivotal for enhancing human-robot collaboration and complex robot behavior synthesis. However, achieving this capability poses significant challenges due to the need for a system that can generalize from limited data to a wide range of tasks and environments ...
arxiv  

SatTerm experience: vocabulary control and facet analysis help improve the software requirements elicitation process [PDF]

, 2013
Ricardo Eíto-Brun
openalex   +1 more source

Quality of life in heart failure. The heart of the matter. A scientific statement of the Heart Failure Association and the European Association of Preventive Cardiology of the European Society of Cardiology

European Journal of Heart Failure, EarlyView.
For most patients with chronic, progressive illnesses, maintaining good quality of life (QoL), with preserved functional capacity, is just as crucial as prolonging survival. Patients with heart failure (HF) experience much worse QoL and effort intolerance than both the general population and people with other chronic conditions, since they present a ...
Maurizio Volterrani, Geza Halasz, Stamatis Adamopoulos, Pier Giuseppe Agostoni, Javed Butler, Andrew J.S. Coats, Alan Cohen‐Solal, Wolfram Doehner, Gerasimos Filippatos, Ewa Jankowska, Carolyn S.P. Lam, Ekaterini Lambrinou, Lars H. Lund, Giuseppe Rosano, Marco Metra, Stefania Paolillo, Pasquale Perrone Filardi, Amina Rakisheva, Gianluigi Savarese, Petar Seferovic, Carlo Gabriele Tocchetti, Massimo Piepoli   +21 more
wiley   +1 more source

Explainable machine learning in cybersecurity: A survey

International Journal of Intelligent Systems, Volume 37, Issue 12, Page 12305-12334, December 2022., 2022
Abstract Machine learning (ML) techniques are increasingly important in cybersecurity, as they can quickly analyse and identify different types of threats from millions of events. In spite of the increasing number of possible applications of ML, successful adoption of ML models in cybersecurity still highly relies on the explainability of those models ...
Feixue Yan, Sheng Wen, Surya Nepal, Cecile Paris, Yang Xiang   +4 more
wiley   +1 more source

The Impact of Using Animated Movies in Learning English Language Vocabulary: An Empirical Study of Lahore, Pakistan

SAGE Open
This study examines the effectiveness of animated movies (AM) in increasing students’ vocabulary and determines what students think about English language learning in Pakistan.
Muhammad Younas, Yan Dong
doaj   +1 more source

New cardiovascular biomarkers in patients with advanced cancer – A prospective study comparing MR‐proADM, MR‐proANP, copeptin, high‐sensitivity troponin T and NT‐proBNP

European Journal of Heart Failure, EarlyView.
(A) Univariable receiver operating characteristic (ROC) curves for all biomarkers. (B) Kaplan–Meier curves for best cut‐point of mid‐regional pro‐adrenomedullin (MR‐proADM) for survival (n = 442). AUC, area under the curve; CI, confidence interval; HR, hazard ratio; hsTnT, high‐sensitivity troponin T; MR‐proANP, mid‐regional pro‐atrial natriuretic ...
Markus S. Anker, Laura C. Lück, Muhammad Shahzeb Khan, Jan Porthun, Sara Hadzibegovic, Alessia Lena, Ursula Wilkenshoff, Pia Weinländer, Ruben Evertz, Matthias Totzeck, Amir A. Mahabadi, Tienush Rassaf, Stefan D. Anker, Lars Bullinger, Ulrich Keller, Mahir Karakas, Ulf Landmesser, Javed Butler, Stephan von Haehling   +18 more
wiley   +1 more source

Terminological mapping in the domain of the obstetric radiology: a statistical study based on ontologies

RECIIS, 2018
This article bases on a study in which terms of the obstetric radiology domain were collected and arranged, and then we identified whether they are comprised in four distinct controlled vocabularies: OntoNeo, RadLex, LOINC and SNOMED.
Igor Soares Amorim, Eduardo Beckhauser, Vinícius Andreóli Petrolini, Alexandre Savaris, Aldo von Wangenheim   +4 more
doaj  

The impact of matching the patient's vocabulary: a randomized control trial

, 2004
N. Williams
openalex   +2 more sources

Current controlled vocabularies are insufficient to uniquely map molecular entities to mass spectrometry signal [PDF]

, 2015
Rob Smith, Ryan M. Taylor, John T. Prince   +2 more
openalex   +1 more source

Machine learning approach to identify phenotypes in patients with ischaemic heart failure with reduced ejection fraction

European Journal of Heart Failure, EarlyView.
Summary of the machine learning clustering methodology and results of the study. Clusters are identified using machine learning approach in the learning set population evaluating specific combinations of multiple characteristics. Then identified clusters are predicted and tested in the learning set to evaluate their association with outcomes.
Luca Monzo, Emmanuel Bresso, Kenneth Dickstein, Bertram Pitt, John G.F. Cleland, Stefan D. Anker, Carolyn S.P. Lam, Mandeep R. Mehra, Dirk J. van Veldhuisen, Barry Greenberg, Faiez Zannad, Nicolas Girerd   +11 more
wiley   +1 more source