Results 41 to 50 of about 12,024 (199)
AUTEX Research Journal, 2020 This paper aims to provide rapid and precise methods to allow industrials to predict the amount of sewing thread needed to sew a garment using different lockstitches of class 300 (301, 301/301, 304, 308, 309, 310, 311, 312, and 315).
Sarah Malek +3 more
doaj +1 more source
Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis [PDF]
, 2014 The widespread use of multi-sensor technology and the emergence of big datasets has highlighted the limitations of standard flat-view matrix models and the necessity to move towards more versatile data analysis tools. We show that higher-order tensors (i.
Caiafa, C. +6 more
core +1 more source
Impact of Cerebrovascular Disease on Gender‐Specific Cognitive and Biomarker Profiles: Insights from the Southeast Asian BIOCIS Cohort [PDF]
Alzheimers DementAbstract Background Emerging evidence suggests that biological sex influences cognitive performance across various domains. However, data specific to Southeast Asian populations remain scarce. This study aims to delineate gender‐specific cognitive profiles and cerebrovascular risk among cognitively unimpaired individuals within the Southeast Asian ...
Tanoto P, Leow Y, Kandiah N.
europepmc +2 more sources
Monthly Rainfall Estimation Using Data-Mining Process
Applied Computational Intelligence and Soft Computing, 2012 It is important to accurately estimate rainfall for effective use of water resources and optimal planning of water structures. For this purpose, the models were developed to estimate rainfall in Isparta using the data-mining process.
Özlem Terzi
doaj +1 more source
AUTEX Research Journal, 2020 This work deals with prediction of the quantities of sewing threads required to sew a garment using cover stitches for the different classes of 600 (602, 605 and 607 cover stitches) by performing a rapid and precise methods (Geometrical and statistical).
Sarah Malek +2 more
doaj +1 more source
Speed-Flow-Geometric Relationship for Urban Roads Network
Applied Sciences, 2022 Speed on the urban roads is significantly affected by the surrounding geometric and traffic parameters. Based on this fact, we ascertained the impact of the geometric and traffic parameters on the average travel speed of the urban roads network.
Tareq M. Al-Bahr +4 more
doaj +1 more source
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives [PDF]
, 2017 Part 2 of this monograph builds on the introduction to tensor networks and their operations presented in Part 1. It focuses on tensor network models for super-compressed higher-order representation of data/parameters and related cost functions, while ...
Cichocki, A. +6 more
core +2 more sources
REPP-H: runtime estimation of power and performance on heterogeneous data centers [PDF]
, 2016 Modern data centers increasingly demand improved performance with minimal power consumption. Managing the power and performance requirements of the applications is challenging because these data centers, incidentally or intentionally, have to deal with ...
Martorell Bofill, Xavier +3 more
core +1 more source
Tensor Regression Networks [PDF]
, 2020 Convolutional neural networks typically consist of many convolutional layers followed by one or more fully connected layers. While convolutional layers map between high-order activation tensors, the fully connected layers operate on flattened activation ...
Anandkumar, Anima +5 more
core +1 more source
Mathematics, 2021 This study considers the usage of multilinear regression and artificial neural network modelling to forecast ozone concentrations with regard to weather-related indicators (wind speed, wind direction, relative humidity and temperature). Initial data were
Svajone Bekesiene +2 more
doaj +1 more source