Results 121 to 130 of about 6,752,036 (307)
Future Internet, 2016 The multi-focus image fusion method is used in image processing to generate all-focus images that have large depth of field (DOF) based on original multi-focus images.
Zhiqin Zhu +3 more
doaj +1 more source
Disclosure Sentiment: Machine Learning vs Dictionary Methods
, 2021 We compare the ability of dictionary-based and machine-learning methods to capture disclosure sentiment at 10-K filing and conference call dates. Like Loughran and McDonald (2011), we use returns to assess sentiment.
Jennings, Jared +2 more
core
Australian Journal of Social Issues, EarlyView.ABSTRACT As modes of activism rapidly evolve, activists—both seasoned and emerging—must increasingly navigate a hybrid terrain of both digital and non‐digital engagement. This paper draws on the personal narratives of 16 nascent activists based in Australia to explore how they develop competencies related to digital storytelling, which is critical to ...
Garth Stahl +5 more
wiley +1 more source
Analisis Komponen Kamus Saluni Fil Mutaradifat Wal Ma’ani dalam Pembelajaran Bahasa Arab
Al-WasilThe dictionary is one of the important tools in language learning, including the Arabic language. An analysis of the components of this dictionary will provide a deeper understanding of its parts from the perspective of Dr. Ali Al-Qasimy. This study aims
Evy Nur Rohmawaty +2 more
doaj +1 more source
Prediction of First and Recurrent Falls in Parkinson's Disease
Annals of Neurology, EarlyView.Objective To develop and externally validate prediction models for next‐year falls in Parkinson's disease (PD), and to evaluate the incremental value of imaging and fluid biomarkers. Methods We developed models in Parkinson's Progression Markers Initiative (PPMI) to predict next‐year falls with external validation in University of Pennsylvania (UPenn ...
Joaquin A. Vizcarra +13 more
wiley +1 more source
Greedy Deep Dictionary Learning
CoRR, 2016 In this work we propose a new deep learning tool called deep dictionary learning. Multi-level dictionaries are learnt in a greedy fashion, one layer at a time. This requires solving a simple (shallow) dictionary learning problem, the solution to this is well known. We apply the proposed technique on some benchmark deep learning datasets. We compare our
Snigdha Tariyal +3 more
openaire +3 more sources
A method of combining coherence-constrained sparse coding and dictionary learning for denoising
, 2017 We have addressed the seismic data denoising problem, in which the noise is random and has an unknown spatiotemporally varying variance. In seismic data processing, random noise is often attenuated using transform-based methods.
Turquais, Pierre +2 more
core +1 more source
Arthroscopy, EarlyView.Purpose To identify pathologic and demographic predictors of treatment selection and timing in patients with rotator cuff injuries using natural language processing of magnetic resonance imaging (MRI) reports. Methods Data were retrospectively reviewed in our institution's Information Commons database.
Timothy S. Keeley +7 more
wiley +1 more source
Sensors, 2017 Rotating machinery is widely used in industrial applications. With the trend towards more precise and more critical operating conditions, mechanical failures may easily occur.
Te Han +3 more
doaj +1 more source
Framing anatomical variation in anatomy textbooks: Language use and its implications
Anatomical Sciences Education, EarlyView.Text mining of anatomy textbooks shows “abnormal” is the most frequently used descriptor for anatomical variation, reinforcing a binary framing. We advocate for explicit teaching of variation as a spectrum, with consistent, neutral terminology and contextualization (prevalence and functional relevance) to support a more nuanced understanding of ...
An‐Di Yim +2 more
wiley +1 more source