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Found 7 papers, 1 papers with code
MLCommons Cloud Masking Benchmark with Early Stopping
We provide a description of the cloud masking benchmark, as well as a summary of our submission to MLCommons on the benchmark experiment we conducted.
An Overview of MLCommons Cloud Mask Benchmark: Related Research and Data
Cloud masking is a crucial task that is well-motivated for meteorology and its applications in environmental and atmospheric sciences.
In-depth Analysis On Parallel Processing Patterns for High-Performance Dataframes
In this paper, we are expanding on the initial concept by introducing a cost model for evaluating the said patterns.
Time Series Analysis of Blockchain-Based Cryptocurrency Price Changes
In this paper we apply neural networks and Artificial Intelligence (AI) to historical records of high-risk cryptocurrency coins to train a prediction model that guesses their price.
HPTMT Parallel Operators for High Performance Data Science & Data Engineering
They are comprised of a rich set of sub-domains such as data engineering, deep learning, and machine learning.
HPTMT: Operator-Based Architecture for Scalable High-Performance Data-Intensive Frameworks
They employ a set of operators on specific data abstractions that include vectors, matrices, tensors, graphs, and tables.
AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates
The COVID-19 pandemic has profound global consequences on health, economic, social, political, and almost every major aspect of human life.
