From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction [PDF]
Zero-inflated data pose significant challenges in precipitation forecasting due to the predominance of zeros with sparse non-zero events. To address this, we propose the Zero Inflation Diffusion Framework (ZIDF), which integrates Gaussian perturbation ...
Gao, W. +8 more
core +1 more source
Durability of Soft Pneumatic Actuators: A Review and Benchmarking Protocol
Advanced Robotics Research, EarlyView.Lack of durability is a key challenge hindering the broad scale adoption of soft pneumatic actuators (SPAs) in automation industries. This review provides a comprehensive overview of existing research on SPA durability, introduces a standardized durability benchmarking protocol to consolidate the testing of SPAs, and outlines promising directions for ...
Dickson Chiu Yu Wong +2 more
wiley +1 more source
Use of Zero-Inflated Models for analyses of immunological data [PDF]
, 2011 The objective of this paper is to investigate a statistical method which can be used to compare the B-cell responses over time after administration of two HPV vaccines, in presence of zero inflated data and also to examine the vaccine effect.
Welegebrael, Aklilu Zemicael
core +2 more sources
Finding the Right Distribution for Highly Skewed Zero-inflated Clinical Data
Epidemiology, Biostatistics and Public Health, 2013 Discrete, highly skewed distributions with excess numbers of zeros often result in biased estimates and misleading inferences if the zeros are not properly addressed.
Resmi Gupta +3 more
doaj +1 more source
A class of models for large zero-inflated spatial data
Journal of Agricultural, Biological and Environmental StatisticsAbstract Spatially correlated data with an excess of zeros, usually referred to as zero-inflated spatial data, arise in many disciplines. Examples include count data, for instance, abundance (or lack thereof) of animal species and disease counts, as well as semi-continuous data like observed precipitation.
Ben Seiyon Lee, Murali Haran
openaire +2 more sources
A Deep Dynamic Latent Block Model for the Co-clustering of Zero-Inflated Data Matrices [PDF]
, 2022 The simultaneous clustering of observations and features of data sets (known as co-clustering) has recently emerged as a central machine learning application to summarize massive data sets. However, most existing models focus on continuous and dense data
Bouveyron, Charles +2 more
core
Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
Advanced Robotics Research, EarlyView.This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
Directed Graphical Models and Causal Discovery for Zero-Inflated Data. [PDF]
Proc Mach Learn Res, 2023 Yu S, Drton M, Shojaie A.
europepmc +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Advanced Science, EarlyView.Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
Spatial distributions of fish and invertebrates in the Gulf of Mexico for 2010-01-01 estimated using a statistical model [PDF]
, 2016 A generalized additive modelling (GAM) approach is used to describe the abundance of 40 species groups (i.e. functional groups) across the Gulf of Mexico (GoM) using a large fisheries independent data set (SEAMAP) and climate scale oceanographic ...
Drexler, Michael
core +1 more source