Results 31 to 40 of about 6,701,261 (238)
Remote Sensing, 2023 Landslides pose a significant threat to human lives and property, making the development of accurate and reliable landslide prediction methods essential.
Luanjie Chen +4 more
semanticscholar +1 more source
A comprehensive drought monitoring method integrating multi-source data [PDF]
PeerJ, 2022 Droughts are the most expensive natural disasters on the planet. As a result of climate change and human activities, the incidence and impact of drought have grown in China.
Xiaoliang Shi +6 more
doaj +2 more sources
Fractal-based autonomous partial discharge pattern recognition method for MV motors [PDF]
, 2018 On-line partial discharge (PD) monitoring is being increasingly adopted to improve the asset management and maintenance of medium-voltage (MV) motors. This study presents a novel method for autonomous analysis and classification of motor PD patterns in ...
Cacciari M. +15 more
core +2 more sources
Multivariate multi-way analysis of multi-source data [PDF]
Bioinformatics, 2010 Abstract Motivation: Analysis of variance (ANOVA)-type methods are the default tool for the analysis of data with multiple covariates. These tools have been generalized to the multivariate analysis of high-throughput biological datasets, where the main challenge is the problem of small sample size and high dimensionality.
Huopaniemi, Ilkka +5 more
openaire +2 more sources
Conditioning a current source using OCCII-GIC for EIT systems [PDF]
, 2015 Multi-Frequency EIT has been developed to evaluate the permittivity spectrum of a medium using an improved Howland source. Stray capacitance reduces the output impedance, bandwidth of the data collection leading to erroneous measurements. To address this,
Falkenberg, Christian +5 more
core +1 more source
R.JIVE for exploration of multi-source molecular data [PDF]
Bioinformatics, 2016 AbstractSummary: The integrative analysis of multiple high-throughput data sources that are available for a common sample set is an increasingly common goal in biomedical research. Joint and individual variation explained (JIVE) is a tool for exploratory dimension reduction that decomposes a multi-source dataset into three terms: a low-rank ...
Michael J, O'Connell, Eric F, Lock
openaire +2 more sources
Summer Maize Growth Estimation Based on Near-Surface Multi-Source Data
Agronomy, 2023 Rapid and accurate crop chlorophyll content estimation and the leaf area index (LAI) are both crucial for guiding field management and improving crop yields. This paper proposes an accurate monitoring method for LAI and soil plant analytical development (
Jing Zhao +9 more
semanticscholar +1 more source
Detecting Long-Duration Narrow-Band Gravitational Wave Transients Associated with Soft Gamma Repeater Quasi-Periodic Oscillations [PDF]
, 2013 We have performed an in-depth concept study of a gravitational wave data analysis method which targets repeated long quasi-monochromatic transients (triggers) from cosmic sources.
Bartos, Imre +8 more
core +2 more sources
Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China
Remote Sensing, 2020 Wheat is one of the main crops in China, and crop yield prediction is important for regional trade and national food security. There are increasing concerns with respect to how to integrate multi-source data and employ machine learning techniques to ...
Jichong Han +6 more
semanticscholar +1 more source
Multi-Source Multi-Domain Data Fusion for Cyberattack Detection in Power Systems
IEEE Access, 2021 Modern power systems equipped with advanced communication infrastructure are cyber-physical in nature. The traditional approach of leveraging physical measurements for detecting cyber-induced physical contingencies is insufficient to reflect the accurate
Abhijeet Sahu +6 more
doaj +1 more source