Results 1 to 10 of about 13,970 (183)
Information and Telecommunication Sciences, 2023 Background. Radio network planning is one of the main phases of the cellular network lifecycle, as it determines capital and operating costs and allows system performance evaluation at any given time.
Володимир Прокопець +1 more
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A Novel Text-Mining Approach for Retrieving Pharmacogenomics Associations From the Literature
Frontiers in Pharmacology, 2020 Text mining in biomedical literature is an emerging field which has already been shown to have a variety of implementations in many research areas, including genetics, personalized medicine, and pharmacogenomics.
Maria-Theodora Pandi +7 more
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A novel methylation signature predicts radiotherapy sensitivity in glioma
Scientific Reports, 2020 Glioblastoma (GBM) is the most common and malignant cancer of the central nervous system, and radiotherapy is widely applied in GBM treatment; however, the sensitivity to radiotherapy varies in different patients.
Yuemei Feng +11 more
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GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring [PDF]
, 2017 Compressive sensing promises to enable bandwidth-efficient on-board compression of astronomical data by lifting the encoding complexity from the source to the receiver.
Fiandrotti, Attilio +3 more
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Financial Sustainable Growth System 2030 Evidence from Russian and Chinese Gas Companies
Финансы: теория и практика, 2019 The aim of the article is to study the prospects for sustainable financial growth of the gas industry in Russia and China until 2030. unlike traditional interpretations, the authors consider financial sustainability as a result of the interaction and ...
A. N. Steblyanskaya +4 more
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Termination Analysis by Learning Terminating Programs [PDF]
, 2014 We present a novel approach to termination analysis. In a first step, the analysis uses a program as a black-box which exhibits only a finite set of sample traces. Each sample trace is infinite but can be represented by a finite lasso.
Heizmann, Matthias +2 more
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Low Complexity Regularization of Linear Inverse Problems [PDF]
, 2014 Inverse problems and regularization theory is a central theme in contemporary signal processing, where the goal is to reconstruct an unknown signal from partial indirect, and possibly noisy, measurements of it.
A Girard +197 more
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Supersparse Linear Integer Models for Optimized Medical Scoring Systems [PDF]
, 2015 Scoring systems are linear classification models that only require users to add, subtract and multiply a few small numbers in order to make a prediction.
Rudin, Cynthia, Ustun, Berk
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Regularization and Model Selection with Categorial Effect Modifiers [PDF]
, 2010 The case of continuous effect modifiers in varying-coefficient models has been well investigated. Categorial effect modifiers, however, have been largely neglected.
Gertheiss, Jan, Tutz, Gerhard
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Discrete Optimization Methods for Group Model Selection in Compressed Sensing
, 2020 In this article we study the problem of signal recovery for group models. More precisely for a given set of groups, each containing a small subset of indices, and for given linear sketches of the true signal vector which is known to be group-sparse in ...
Bah, Bubacarr +2 more
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