Related references
Note: Only part of the references are listed.Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach
Kasun Bandara et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Improvement of feed and nutrient efficiency in pig production through precision feeding
Charlotte Gaillard et al.
ANIMAL FEED SCIENCE AND TECHNOLOGY (2020)
Dynamic modeling of nutrient use and individual requirements of lactating sows
Raphael Gauthier et al.
JOURNAL OF ANIMAL SCIENCE (2019)
Big (pig) data and the internet of the swine things: a new paradigm in the industry
Carlos Pineiro et al.
ANIMAL FRONTIERS (2019)
Heat negatively affects lactating swine: A meta-analysis
Bruna Pontara Vilas Boas Ribeiro et al.
JOURNAL OF THERMAL BIOLOGY (2018)
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances
Anthony Bagnall et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2017)
k-Shape: Efficient and Accurate Clustering of Time Series
John Paparrizos et al.
SIGMOD RECORD (2016)
Time-series clustering - A decade review
Saeed Aghabozorgi et al.
INFORMATION SYSTEMS (2015)
Evaluation of a method estimating real-time individual lysine requirements in two lines of growing-finishing pigs
L. Cloutier et al.
ANIMAL (2015)
Experimental comparison of representation methods and distance measures for time series data
Xiaoyue Wang et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2013)
Clustering of time series data - a survey
TW Liao
PATTERN RECOGNITION (2005)
Sow factors affecting voluntary feed intake during lactation
JJ Eissen et al.
LIVESTOCK PRODUCTION SCIENCE (2000)
Share Paper
