Die chronologische Liste zeigt aktuelle Veröffentlichungen aus dem Forschungsbetrieb der Hochschule Weihenstephan-Triesdorf. Zuständig ist das Zentrum für Forschung und Wissenstransfer (ZFW).
8 Ergebnisse
Maureen Schulze,
Sarah Kühl,
Prof. Dr. Gesa Busch
Berechtigungen: Open Access
Berechtigungen: Peer Reviewed
We have some calves left! Socially accepted alternatives to the current handling of male calves from dairy production (2023) Food Ethics 8 .
DOI: 10.1007/s41055-023-00122-w
Prof. Dr. Michael Tröster,
Dipl.-Ing. Markus Heinz,
Prof. Dr. Leonhard Durst
Audio Medienbeitrag,
Dr. Annette Bucher,
B.Sc. Lena Fröhler
Klimawandel im Garten – Wie pflanzt man für extreme Bedingungen? (2023) Radio-Interview in BR 2 "IQ Aus Wissenschaft und Forschung" mit Katharina Hübel-Gohr am 13.04.2023 .
M.Sc. Benedikt Thesing,
Peter Weindl,
L. Rathmann,
P. Hofmann,
Christian Lambertz,
Prof. Dr. Gerhard Bellof
Summary: Time series forecasting is a research area with applications in various domains, nevertheless without yielding a predominant method so far. We present ForeTiS, a comprehensive and open source Python framework that allows rigorous training, comparison, and analysis of state-of-the-art time series forecasting approaches. Our framework includes fully automated yet configurable data preprocessing and feature engineering. In addition, we use advanced Bayesian optimization for automatic hyperparameter search. ForeTiS is easy to use, even for non-programmers, requiring only a single line of code to apply state-of-the-art time series forecasting. Various prediction models, ranging from classical forecasting approaches to machine learning techniques and deep learning architectures, are already integrated. More importantly, as a key benefit for researchers aiming to develop new forecasting models, ForeTiS is designed to allow for rapid integration and fair benchmarking in a reliable framework. Thus, we provide a powerful framework for both end users and forecasting experts.Availability: ForeTiS is available at https://github.com/grimmlab/ForeTiS. We provide a setup using Docker, as well as a Python package at https://pypi.org/project/ForeTiS/. Extensive online documentation with hands-on tutorials and videos can be found at https://foretis.readthedocs.io.
Mehr
Volodymyr Voitsekhivskyi,
Roman Riapov,
Dmitro Kirichenko,
Prof. Dr. Iryna Smetanska,
Oksana Muliarchuk,
Svitlana Horbatiuk,
Valentina Konakh,
Anastasiya Tokar,
Galina Slobodyanik
The creation of high-quality processing products from vegetable raw materials is urgent. The production of functional, dietary, preventive and therapeutic products is currently promising. Using the potential of biologically active substances of common vegetables is a strategically important task of the processing industry. The proposed recipes for preparing canned vegetable salads received high organoleptic indicators. The use of different recipes made it possible to increase the content of ascorbic acid by 2 times. Due to its low sugar content, this product is recommended for consumption by people who monitor their calorie and sugar intake, in particular, those prone to or suffering from diabetes. Further research will be aimed at the introduction of various spicy aromatic plants into the recipe and their effect on the quality and biological value of the finished products.
Mehr
Peter Hofinger,
Dr. Hans-Joachim Klemmt,
Simon Ecke,
Prof. Dr. Steffen Rogg,
Jan Dempewolf
Wir verwenden Cookies. Einige sind notwendig für die Funktion der Webseite, andere helfen uns, die Webseite zu verbessern. Um unseren eigenen Ansprüchen beim Datenschutz gerecht zu werden, erfassen wir lediglich anonymisierte Nutzerdaten mit „Matomo“. Um unser Internetangebot für Sie ansprechender zu gestalten, binden wir außerdem externe Inhalte unserer Social-Media-Kanäle ein.
