Results 71 to 80 of about 32,986 (296)
Journal of the Association for Information Science and Technology, EarlyView.Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Revista Facultad de Ingeniería Universidad de Antioquia, 2009 Con el fin de clasificar la corrosividad de las diferentes atmósferas colombianas, como parte de un proyecto de investigación extenso [1], se expusieron placas de acero al carbono en 21 estaciones distribuidas a lo largo de la infraestructura eléctrica ...
Esteban Velilla +2 more
doaj
Computing feature matrices using PCA-SVD hybrid method on small-scale systems
Tạp chí Khoa học và Công nghệThe task of performing feature extraction from input matrices is a well-known problem in biometric recognition. This paper aims to develop an effective method for reduction and decomposition on large matrices with low required computational resources and
Le Tien Hung +3 more
doaj +1 more source
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Asian Journal of Control, EarlyView.Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
Probabilistic matrix clustering with feature priors for unbiased control selection
Научно-технический вестник информационных технологий, механики и оптикиWe propose a probabilistic matrix-clustering method that leverages a prior distribution of features and dimensionality reduction (Singular Value Decomposition, SVD). The approach identifies, within a large control pool, a cluster statistically comparable
D. A. Usoltsev
doaj +1 more source
Two-Step Classification with SVD Preprocessing of Distributed Massive Datasets in Apache Spark
Algorithms, 2020 At the dawn of the 10V or big data data era, there are a considerable number of sources such as smart phones, IoT devices, social media, smart city sensors, as well as the health care system, all of which constitute but a small portion of the data lakes ...
Athanasios Alexopoulos +4 more
doaj +1 more source
British Journal of Clinical Pharmacology, EarlyView.Abstract Aims Paroxetine is a selective serotonin reuptake inhibitor (SSRI), approved for treatment of major depressive disorder and anxiety disorders. Some SSRIs are known to prolong the QT interval; however, clinical evidence to establish a lack of association between paroxetine and corrected QT interval (QTc) prolongation is limited. Therefore, this
Sven C. van Dijkman +6 more
wiley +1 more source
JGE, 2020 Oil field research in regional Banyuasin “HUF” , South Sumatra have been done by the gravity data with objective of knowing fault structure based on analysis of hydrocarbon SVD and knows hollow structure based on the 3D model of the Bouguer Anomaly and ...
Ade Setiawan, Bagus Sapto Mulyatno
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Recent Insights Into Alzheimer's Disease: Advances in Pathophysiology and Therapeutic Strategies
Brain Health, EarlyView.ABSTRACT Alzheimer's disease (AD) is a complex neurodegenerative disorder driven by interplay among amyloid‐β (Aβ) plaques, tau neurofibrillary tangles, inflammation and comorbid pathologies. Recent advances in biomarkers and therapeutic approvals have reshaped our understanding of its pathophysiology and treatment landscape.
Jiong Shi +3 more
wiley +1 more source
Quenching the Hubbard Model: Comparison of Nonequilibrium Green's Function Methods
Contributions to Plasma Physics, EarlyView.ABSTRACT We benchmark nonequilibrium Green's function (NEGF) approaches for interaction quenches in the half‐filled Fermi–Hubbard model in one and two dimensions. We compare fully self‐consistent two‐time Kadanoff–Baym equations (KBE), the generalized Kadanoff–Baym ansatz (GKBA), and the recently developed NEGF‐based quantum fluctuations approach (NEGF‐
Jan‐Philip Joost +3 more
wiley +1 more source