A Python library for computing individual and merged non-CO2 algorithmic climate change functions: CLIMaCCF V1.0 [PDF]
Geoscientific Model Development, 2023 Aviation aims to reduce its climate effect by adopting trajectories that avoid regions of the atmosphere where aviation emissions have a large impact.
S. Dietmüller +15 more
doaj +4 more sources
PeptideBuilder: A simple Python library to generate model peptides [PDF]
PeerJ, 2013 We present a simple Python library to construct models of polypeptides from scratch. The intended use case is the generation of peptide models with pre-specified backbone angles.
Matthew Z. Tien +3 more
doaj +3 more sources
CodonMutator: a python-based automated oligonucleotide design framework for deep mutational scanning library construction [PDF]
BMB ReportsLee, Jeongha +3 more
openaire +3 more sources
Implementation of generalized estimating equations and mixed linear models in Python [PDF]
Yixue xinzhi zazhi, 2022 Objective Explore the implementation of generalized estimation equations (GEE) and mixed linear models (MLM) in longitudinal data analysis using Python software, and expand its application in statistical analysis.Methods GEE and MLM were constructed by ...
Kui-Zhuang JIAO +5 more
doaj +1 more source
ICET – A Python Library for Constructing and Sampling Alloy Cluster Expansions [PDF]
Advanced Theory and Simulations, 2019 AbstractAlloy cluster expansions (CEs) provide an accurate and computationally efficient mapping of the potential energy surface of multi‐component systems that enables comprehensive sampling of the many‐dimensional configuration space. Here, integrated cluster expansion toolkit (ICET), a flexible, extensible, and computationally efficient software ...
Mattias Ångqvist +7 more
openaire +2 more sources
CLASSIFICATION OF LOW QUALITY IMAGES USING CONVOLUTIONAL NEURAL NETWORK AND DEEP BELIEF NETWORK [PDF]
International Journal of Intelligent Computing and Information Sciences, 2016 Low quality images become more challenge and core problem in recent decade because of the ambiguity of contents of them. Convolutional deep neural networks are used for solving this problem.
E. El-Ashmony +2 more
doaj +1 more source
Al-Khawarizmi Engineering Journal, 2023 Codes of red, green, and blue data (RGB) extracted from a lab-fabricated colorimeter device were used to build a proposed classifier with the objective of classifying colors of objects based on defined categories of fundamental colors.
Shahad A. Mnati +2 more
doaj +1 more source
Regional CO2 inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0 [PDF]
Geoscientific Model Development, 2021 Atmospheric inversions are used to derive constraints on the net sources and sinks of CO2 and other stable atmospheric tracers from their observed concentrations.
G. Monteil, M. Scholze
doaj +1 more source
Constructing and analysing dynamic models with modelbase v1.2.3: a software update
BMC Bioinformatics, 2021 Background Computational mathematical models of biological and biomedical systems have been successfully applied to advance our understanding of various regulatory processes, metabolic fluxes, effects of drug therapies, and disease evolution and ...
Marvin van Aalst +2 more
doaj +1 more source
Identification of maize and wheat seedlings and weeds based on deep learning
Frontiers in Earth Science, 2023 Introduction: It is well-known that maize and wheat are main food crops in the world. Thus, promoting high quality and abundant maize and wheat crops guarantees the development of the grain industry, which is needed to support world hunger.
Xiaoqin Guo +3 more
doaj +1 more source