Results 81 to 90 of about 2,741,379 (327)
Известия Томского политехнического университета: Инжиниринг георесурсов, 2017 The relevance of the research is caused by the necessity to develop algorithms and software to classify the cloud types based on single-layer cloud on the satellite images received from MODIS spectral radiometer used in Terra and Aqua remote sensing ...
Aleksey Viktorovich Skorokhodov +3 more
doaj +2 more sources
Evaluation of Term Ranking Algorithms for Pseudo-Relevance Feedback in MEDLINE Retrieval [PDF]
Healthcare Informatics Research, 2011 ObjectivesThe purpose of this study was to investigate the effects of query expansion algorithms for MEDLINE retrieval within a pseudo-relevance feedback framework.MethodsA number of query expansion algorithms were tested using various term ranking ...
Sooyoung Yoo, Jinwook Choi
doaj +1 more source
Probabilistic Data Analysis with Probabilistic Programming [PDF]
arXiv, 2016 Probabilistic techniques are central to data analysis, but different approaches can be difficult to apply, combine, and compare. This paper introduces composable generative population models (CGPMs), a computational abstraction that extends directed graphical models and can be used to describe and compose a broad class of probabilistic data analysis ...
arxiv
Designs, 2019 The development of autonomous vehicles is one of the most active research areas in the automotive industry. The objective of this study is to present a concept for analysing a vehicle’s current situation and a decision-making algorithm which ...
Bence Dávid +2 more
doaj +1 more source
Discussion of Parameters Setting for A Distributed Probabilistic Modeling Algorithm [PDF]
arXiv, 2018 This manuscript provides additional case analysis for the parameters setting of the distributed probabilistic modeling algorithm for the aggregated wind power forecast error.
arxiv
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose To compare plan quality among photon volumetric modulated arc therapy (VMAT) and intensity‐modulated proton therapy (IMPT) with robustness using three different proton beam delivery systems with various spot size (σ) ranges: cyclotron‐generated proton beams (CPBs) (σ: 2.7–7.0 mm), linear accelerator proton beams (LPBs) (σ: 2.9–5.5 mm),
Tara Gray +9 more
wiley +1 more source
INFORMATION SUPPORT SYSTEM OF MEDICAL SYSTEM RESEARCH
International Journal of Medicine and Medical Research, 2014 Background. Medical system research requires information support system of implementing data mining algorithms resulting in decision trees or IF-THEN rules. Besides that, this system should be object-oriented and web-integrated. Objective.
V. P. Martsenyuk, I. Ye. Andrushchak
doaj +1 more source
Automatic Alignment of Sequential Monte Carlo Inference in Higher-Order Probabilistic Programs [PDF]
arXiv, 2018 Probabilistic programming is a programming paradigm for expressing flexible probabilistic models. Implementations of probabilistic programming languages employ a variety of inference algorithms, where sequential Monte Carlo methods are commonly used. A problem with current state-of-the-art implementations using sequential Monte Carlo inference is the ...
arxiv
A review of artificial intelligence in brachytherapy
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen +4 more
wiley +1 more source
Advanced Materials Interfaces, EarlyView., 2023 This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi +4 more
wiley +1 more source