Results 71 to 80 of about 26,367 (267)

Are there morpho‐acoustic patterns of adaptation in nonhuman primate ears? Testing the role of ecology and habitat in shaping ear morphology and function

The Anatomical Record, EarlyView.
Abstract Analysis of the variation in the bony structures of the inner and middle ear provides critical insights into functional morphology, as well as adaptive morphology across primates. In this study, we investigated whether ear morphology patterns are related to the ecological characteristics of species and their habitats to test two acoustic ...
Myriam Marsot, Rémi Laffont, Émilie Steimetz, Patricia Balaresque, Sébastien Couette   +4 more
wiley   +1 more source

Modelos de pérdida de masa de acero por corrosión atmosférica en Colombia usando inteligencia computacional

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, Fernando Villada, Félix Echeverría   +2 more
doaj  

Computing feature matrices using PCA-SVD hybrid method on small-scale systems

Tạp chí Khoa học và Công nghệ
The 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, Vu Minh Trong, Phan Viet Thanh, Nguyen Le Van   +3 more
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, Georgios Drakopoulos, Andreas Kanavos, Phivos Mylonas, Gerasimos Vonitsanos   +4 more
doaj   +1 more source

Hepatic morphology and serum biochemical profile according to dry and rainy seasons in Pygocentrus nattereri (Characiformes: Serrasalmidae)

The Anatomical Record, EarlyView.
Abstract This study investigated the physiological and morphological adaptations of the liver of the carnivorous fish Pygocentrus nattereri (piranha) in response to seasonal variations (dry and rainy seasons) in the Brazilian Pantanal. The objective was to describe how the liver, a central organ in metabolic regulation, responds to environmental ...
Maria Eduarda Corona Garcia, Sandriely F. Marcondes, Mayara S. Siqueira, Taynara R. F. Leão, Robson A. Rodrigues, Karine N. N. Farias, André L. N. Silva, Karin Virgínia Kuibida, Lilian Franco‐Belussi, Carlos E. Fernandes   +9 more
wiley   +1 more source

IDENTIFIKASI BAWAH PERMUKAAN LAPANGAN MINYAK“HUF” SUMATERA SELATAN UNTUK MENDELINIASI STRUKTUR CEKUNGAN HIDROKARBON BERDASARKAN DATA GAYABERAT

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
doaj   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

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, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

Probabilistic matrix clustering with feature priors for unbiased control selection

Научно-технический вестник информационных технологий, механики и оптики
We 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

Fast approximate truncated SVD

Numerical Linear Algebra with Applications, 2019
SummaryThis paper presents a new method for the computation of truncated singular value decomposition (SVD) of an arbitrary matrix. The method can be qualified as deterministic because it does not use randomized schemes. The number of operations required is asymptotically lower than that using conventional methods for nonsymmetric matrices and is at a ...
Serge L. Shishkin, Arkadi Shalaginov, Shaunak D. Bopardikar   +2 more
openaire   +3 more sources

Performance change detection and recovery in inferential control loops

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract In most industrial environments, soft sensors are crucial for estimating variables that are hard to measure. It is critical that these variables be estimated quickly and accurately because they are closely linked to plant safety and profit. Therefore, performance drift in the soft sensors cannot be ignored.
Xuanhui Zhai, Yuri A. W. Shardt
wiley   +1 more source