60 results for “topic:publication-repository”
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Optimization model of the EHDO webtool
A Python tool for distributed model-based predictive control of energy suppy chains
Building envelope and energy system optimization package
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UI to create and consume interoperable research objects
Building Energy System design, sizing and operation OPTimization
B.Sc. Thesis Deep Learning & NLP research on Medical Image Captioning
StepUp RepRep is the StepUp extension for Reproducible Reporting
Journal: Deep learning supervised topology detection of building energy systems by generated time series of generic grey-box models
Publication repository: Pathways to global hydrogen production within planetary boundaries
Data and code for SMJ 2019 paper
Supporting data and code for: "Phosphonate production by marine microbes: exploring new sources and potential function"
This repository contains scripts from published or submitted manuscripts.
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Steinmetz, A. Modern topics in relativistic spin dynamics and magnetism. PhD dissertation. University of Arizona, 2023.
Supporting data and code for: "Localized coevolution between microbial predator and prey alters community-wide gene expression and ecosystem function"
Steinmetz, A., Formanek, M. & Rafelski, J. Magnetic dipole moment in relativistic quantum mechanics. Eur. Phys. J. A 55, 40 (2019).
A repository of my published academic works dating back from college, to law school, and beyond.
Rundowns and notes of research papers in AI, ML, DL, NLP and CV
Pending Revisions, NDA Final Version
Steinmetz, A., Yang, C. T. & Rafelski, J. Matter-antimatter origin of cosmic magnetism. Phys. Rev. D 108 (2023).
Data and code for "Temporal changes in the role of species sorting and evolution determine community dynamics"
Supporting data and code for: "Copiotrophic marine bacteria are associated with strong iron-binding ligand production during phytoplankton blooms"
Experiments for the paper "Detecting ongoing events using contextual word and sentence embeddings" using BERT embeddings and LSTMs neural networks to detect ongoing event mentions in news articles.
Rafelski, J., Birrell, J., Steinmetz, A. and Yang, C.T. A short survey of matter-antimatter evolution in the primordial universe. Universe 9.7 (2023): 309.
✨pyglotaran publications library 📚
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Experiments for the paper "Learning Causality Structures from Electricity Demand Data" using causal discovery tools to improve energy demand forecasting using energy consumption data from Argentina.