Results 61 to 70 of about 9,083 (186)

Feature Extraction of Impulse Faults for Vibration Signals Based on Sparse Non-Negative Tensor Factorization

open access: yesApplied Sciences, 2019
The incipient damages of mechanical equipment excite weak impulse vibration, which is hidden, almost unobservable, in the collected signal, making fault detection and failure prevention at the inchoate stage rather challenging.
Lin Liang   +4 more
doaj   +1 more source

Increased irrigation water salinity enhances nitrate transport to deep unsaturated soil

open access: yesVadose Zone Journal, 2020
Excessive use of N fertilizers in agriculture often leads to NO3− accumulation in the unsaturated zone and to groundwater pollution. There is uncertainty regarding the variability in fertilizer transport and uptake efficiency due to the lack of studies ...
Gal Weissman   +6 more
doaj   +1 more source

Patterns of Regional Firm Mobility in Germany: Urbanization, Suburbanization, or Counterurbanization?

open access: yesJournal of Regional Science, EarlyView.
ABSTRACT Firms are not necessarily geographically static, in fact, they sometimes move across space within an economy. We define three possible destination types for relocating firms: major cities (urbanization), urbanized districts (suburbanization), and rural districts (counterurbanization).
Benedikt Schröpf, Tim Kovalenko
wiley   +1 more source

Cross-Work Theme Identification in Long Novels via Nonnegative Tensor Factorization

open access: yesMathematics
Identifying the major themes and recurring motifs of an author’s long novels is a basic task in literary studies. To support this task in a scalable way while retaining within-novel narrative variation, we model an author corpus as a third-order ...
Yiying Chen, Maosheng Liu, Yuning Yang
doaj   +1 more source

Impulse Feature Extraction of Bearing Faults Based on Convolutive Nonnegative Matrix Factorization

open access: yesIEEE Access, 2020
The detection of bearing faults is of great significance for the stable operation of rotating machinery. Apart from detection by analysing the vibration response, another powerful strategy is to extract the periodic impulse excitation directly induced by
Lin Liang   +5 more
doaj   +1 more source

Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data

open access: yes, 2015
We present a Bayesian non-negative tensor factorization model for count-valued tensor data, and develop scalable inference algorithms (both batch and online) for dealing with massive tensors.
DB Dunson   +6 more
core   +1 more source

Measure‐valued processes for energy markets

open access: yesMathematical Finance, Volume 35, Issue 2, Page 520-566, April 2025.
Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero   +3 more
wiley   +1 more source

Population Changes and Emerging Challenges to Global Primary Education Provision

open access: yesPopulation and Development Review, EarlyView.
Abstract Global demographic changes in recent decades have sharply altered the contexts in which governments provide education. Focusing on primary education, we demonstrate, first, that recent demographic trends have been highly polarizing for education systems worldwide. Persistent expansionary pressures burden some of the least‐resourced educational
Emily Hannum, Jeonghyeok Kim, Fan Wang
wiley   +1 more source

Sparseness-constrained nonnegative tensor factorization for detecting topics at different time scales

open access: yesFrontiers in Applied Mathematics and Statistics
Temporal text data, such as news articles or Twitter feeds, often comprises a mixture of long-lasting trends and transient topics. Effective topic modeling strategies should detect both types and clearly locate them in time.
Lara Kassab   +6 more
doaj   +1 more source

Navigating the Functional Landscape of Transcription Factors via Non-Negative Tensor Factorization Analysis of MEDLINE Abstracts

open access: yesFrontiers in Bioengineering and Biotechnology, 2017
In this study, we developed and evaluated a novel text-mining approach, using non-negative tensor factorization (NTF), to simultaneously extract and functionally annotate transcriptional modules consisting of sets of genes, transcription factors (TFs ...
Sujoy Roy   +9 more
doaj   +1 more source

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