Results 71 to 80 of about 45,351 (333)
Automatic text summarization using fuzzy inference [PDF]
Due to the high volume of information and electronic documents on the Web, it is almost impossible for a human to study, research and analyze this volume of text. Summarizing the main idea and the major concept of the context enables the humans to read the summary of a large volume of text quickly and decide whether to further dig into details. Most of
Jafari, Mehdi +5 more
openaire +2 more sources
Objectives Evaluate the efficacy and safety of baricitinib in paediatric patients with active JIA‐U or chronic anterior ANA‐positive uveitis, who had an inadequate response to MTX or bDMARDs. Methods JUVE‐BRIGHT was an open‐label, active‐controlled, Phase‐3 multicentre trial which utilized a novel design, including 1:1 randomization to an active ...
Athimalaipet V. Ramanan +7 more
wiley +1 more source
Analyzing the Application of Hyland Metadiscourse Model for Citation-based Automatic Text Summarization: A proposed Annotation Scheme for Citation Contexts [PDF]
Objective: Author's abstract contains those contributions that the author himself considers important. Meanwhile, they may be less important among scientific community. This supplementary information can be obtained by analyzing citing articles. Citation
Pegah Tajer +4 more
doaj +1 more source
Objective We developed a novel EHR sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
Survey of Deep Learning Based Extractive Summarization [PDF]
Automatic text summarization (ATS) is a popular research direction in natural language processing, and its main implementation methods are divided into two categories: extractive and abstractive. Extractive summarization directly uses the text content in
TIAN Xuan, LI Jialiang, MENG Xiaohuan
doaj +1 more source
Beyond Stemming and Lemmatization: Ultra-stemming to Improve Automatic Text Summarization [PDF]
In Automatic Text Summarization, preprocessing is an important phase to reduce the space of textual representation. Classically, stemming and lemmatization have been widely used for normalizing words. However, even using normalization on large texts, the
Torres-Moreno, Juan-Manuel
core
Extractive Multi Document Summarization using Dynamical Measurements of Complex Networks
Due to the large amount of textual information available on Internet, it is of paramount relevance to use techniques that find relevant and concise content.
Amancio, Diego R., Tohalino, Jorge V.
core +1 more source
Laser Metal Deposited Ti4822 Hollow Pipe: Experimental and Computational Modelling Study
Laser metal deposition (LMD) of a crack‐free built Ti4822 alloys is challenging. This article reports outstanding characteristics of a hollow pipe that is built with LMD technology when a predicted, nontransformation substrate temperature of 800 °C is used.
Sadiq A. Raji +5 more
wiley +1 more source
This article describes the preparation and characterization of poly(ε‐caprolactone) electrospun composite fibers incorporating sol‐gel‐derived bioactive glass particles doped with B and Cu. Scanning electron microscopy, energy‐dispersive X‐ray spectroscopy, Fourier‐transform infrared spectroscopy, contact angle, acellular bioactivity, mechanical and ...
Elisa Piatti +5 more
wiley +1 more source

