Abstract: The temperature change is expected to induce nonlinear characteristics in the annual fluctuation of permafrost. The interferometric synthetic aperture radar (InSAR) technique has ...
Nigeria stands at a perilous crossroads today. The spectre of insecurity looms large, threatening not only the safety of lives and property but also the very fabric of our national unity, economic ...
Objective: To compare the application of the ARIMA model, the Long Short-Term Memory (LSTM) model and the ARIMA-LSTM model in forecasting foodborne disease incidence. Methods: Monthly case data of ...
The implementation of a business model involves a detailed understanding of the process through which a company creates, delivers, and captures value. The operational challenges here include the ...
The prevailing wisdom in artificial intelligence suggests that bigger models yield better results. In our work for health insurance companies and third-party administrators of health plans, we’ve ...
R's time series models and, more generally, its statistics models, are mature and often of high quality. CRAN is a great resource. Making some of its models easily accessible via sktime can bring ...
MiniMamba v1.0.1 is a production-ready PyTorch implementation of the Mamba architecture — a Selective State Space Model (S6) for fast and efficient sequence modeling. This major release features ...
Written by Ken Huang, CSA Fellow, Co-Chair of CSA AI Safety Working Groups and Dr. Ying-Jung Chen, Georgia Institute of Technology. This implementation guide provides a comprehensive, hands-on ...
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