LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "prophet" as a keyword



Examining sea levels forecasting using autoregressive and prophet models

Sign Up to like & get
recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-65184-0

Abstract: Global climate change in recent years has resulted in significant changes in sea levels at both global and local scales. Various oceanic and climatic factors play direct and indirect roles in influencing sea level changes,… read more here.

Keywords: prophet; examining sea; sea; sea level ... See more keywords

A plasma-based proteomic platform for predicting clinical benefit from immune checkpoint inhibitors in multiple cancers.

Sign Up to like & get
recommendations! Published in 2024 at "Journal of Clinical Oncology"

DOI: 10.1200/jco.2024.42.16_suppl.2568

Abstract: 2568 Background: Immune checkpoint inhibitor (ICI)-based therapies are preferred treatment options for multiple cancer types. However, there is an unmet need for predictive tests that can identify patients likely to benefit. PROphet-NSCLC is a commercially… read more here.

Keywords: treatment; prophet positive; benefit; prophet ... See more keywords

Regional and Vernacular Expressions of Shi‘i Theology: The Prophet and the Imam in Satpanth Ismaili Ginans

Sign Up to like & get
recommendations! Published in 2025 at "Open Theology"

DOI: 10.1515/opth-2025-0045

Abstract: Abstract The belief that religious guidance in the worldly life is mediated through a divinely guided, human leader is central to the theology of several Ṣūfī and Shī‘ī traditions in Islam. For Shī‘ī Muslims in… read more here.

Keywords: expressions shi; prophet; vernacular expressions; regional vernacular ... See more keywords

The comparative analysis of SARIMA, Facebook Prophet, and LSTM for road traffic injury prediction in Northeast China

Sign Up to like & get
recommendations! Published in 2022 at "Frontiers in Public Health"

DOI: 10.3389/fpubh.2022.946563

Abstract: Objective This cross-sectional research aims to develop reliable predictive short-term prediction models to predict the number of RTIs in Northeast China through comparative studies. Methodology Seasonal auto-regressive integrated moving average (SARIMA), Long Short-Term Memory (LSTM),… read more here.

Keywords: function; prophet; prediction; model ... See more keywords