Results 81 to 90 of about 1,032,480 (246)

Bayesian Rician Regression for Neuroimaging

Frontiers in Neuroscience, 2017
It is well-known that data from diffusion weighted imaging (DWI) follow the Rician distribution. The Rician distribution is also relevant for functional magnetic resonance imaging (fMRI) data obtained at high temporal or spatial resolution.
Bertil Wegmann, Anders Eklund, Anders Eklund, Anders Eklund, Mattias Villani   +4 more
doaj   +1 more source

An Integrated Statistical and Machine Learning Framework for Predicting the Dry Sliding Tribological Behavior of CFRP and GFRP Composites Under Environmental Aging and Loading Conditions

Polymer Composites, EarlyView.
The graphical abstract presents the experimental and data‐driven framework used to investigate the dry sliding tribological behavior of CFRP and GFRP composites. The effects of seawater, engine oil, diesel fuel, aging time, and normal load on the specific wear rate (SWR) and coefficient of friction (COF) were evaluated using pin‐on‐disc tests, ANOVA ...
Ahmet Saylık, İhsan Tuğal, Şemsettin Temiz   +2 more
wiley   +1 more source

EXAMINATION OF ALTERNATIVE HETEROSCEDASTIC ERROR STRUCTURES USING EXPERIMENTAL DATA [PDF]

Impacts of alternative specifications for heteroscedastic error structures are examined by estimating various production functions for corn in Central Texas. Production- and profit- maximizing levels of input and the shape of the profit equation obtained
Capps, Oral, Jr., Griffin, Ronald C., Mjelde, James W.   +2 more
core  

CBIPDNet: A Novel Method for InSAR Deformation Interferometric Phase Filtering Using Deep Learning Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The denoising of phase is a crucial process that impacts the accuracy of data processing in differential interferometric synthetic aperture radar. Especially in the area of large-gradient deformation, the phase filtering method is very easy to cause ...
Yandong Gao, Jiaqi Yao, Wei Zhou, Nanshan Zheng, Shijin Li, Yu Tian   +5 more
doaj   +1 more source

Integrating Autoencoder and Heteroscedastic Noise Neural Networks for the Batch Process Soft-Sensor Design. [PDF]

Ind Eng Chem Res, 2022
Kay S, Kay H, Mowbray M, Lane A, Mendoza C, Martin P, Zhang D.   +6 more
europepmc   +1 more source

Experimental dissection of phenotypic variation for quantitative disease resistance in canola (Brassica napus) – Leptosphaeria maculans interactions

Pest Management Science, EarlyView.
This graphical abstract illustrates how quantitative resistance to Leptosphaeria maculans in canola is experimentally estimated through multi‐environment replicated trials measuring crown canker severity. Genotype, environment and pathogen sources feed into phenotyping, followed by variance partitioning using mixed models and beta regression to ...
Luke G Barrett, Mohamed CM Zakeel, Angela P Van der Wouw, Rebecca Maher, Kurt D Lindbeck, Susan J Sprague   +5 more
wiley   +1 more source

Using Airborne Laser Scanning and Sentinel‐2 to Understand Subcanopy Light Regimes and Understory Diversity of Vascular Plants in Temperate Mountain Forests

Remote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that not just Airborne Laser Scanning, but also Sentinel‐2 can effectively estimate absolute canopy cover and canopy cover heterogeneity ‐ structural metrics that determine the subcanopy light regime, found to be linked to the vascular plant species richness in the understory of temperate mountain forests.
Felix Wieland‐Glasmann, Cornelius Senf, Kristin H. Braziunas, Rupert Seidl, Peter Annighöfer   +4 more
wiley   +1 more source

Widespread Bomb Fishing in Indo‐Pacific Archipelago Revealed Through Machine Learning Accelerated Passive Acoustic Monitoring

Remote Sensing in Ecology and Conservation, EarlyView.
AI‐accelerated passive acoustic monitoring reveals extensive bomb fishing within the Spermonde Archipelago, with annual incidents numbering in the thousands. ABSTRACT Bomb fishing is recognised as the most destructive fishing practice that can be performed in our oceans.
Ben Williams, Mars Coral Restoration Project Monitoring Team, Aimee du Luart, Sonny Burniston, Tries B. Razak, Timothy A. C. Lamont, David J. Smith, Jamaluddin Jompa, David Curnick, Kate E. Jones   +9 more
wiley   +1 more source

Investigation of a smart noise barrier for dual active and passive control of construction noise

, 2023
49th International Congress and Exposition on Noise Control Engineering (INTERNOISE 2020): Advances in Noise and Vibration Control Technology: Seoul, Korea, 23-26 August 2020202312 bcchVersion of RecordOthersEnvironment and Conservation Fund of the Hong ...
Wang, J, Sun, JQ, Lai, SK, Zhang, Y, Leu, SY   +4 more
core  

Dynamic Impact of Income Inequality on Environmental Quality in Malaysia: Insights for Climate Action Using a Stochastic Impacts by Regression on Population, Affluence, and Technology Framework

Sustainable Development, EarlyView.
ABSTRACT This study explores the dynamic influence of income inequality on environmental quality in Malaysia and offers evidence‐based recommendations for climate action and policy. Using annual data from 1990 to 2022, the analysis utilizes the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) framework combined with ...
Masahina Sarabdeen, Ahmad Mohammadi, Rafia Afroz, Hawazen Zam Almugren   +3 more
wiley   +1 more source