Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...

Understanding Fourier Analysis: Uncovering Patterns in Time Series Data

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.
GitHub

A lightweight attribute for easy generation of const functions with conditional compilations.

This crate is proc-macro, but is very lightweight, and has no dependencies. You can manually define declarative macros with similar functionality (see if_rust_version), or you can define the same ...
IEEE

Arithmetic Optimization Algorithm Based on Cauchy Mutation Trigonometric Function Search to Solve Combined Economic Emission Dispatch Problem

Abstract: Nowadays, problems such as greenhouse effect and air pollution become increasingly prominent. The power generation process should pay attention to the fuel cost and reduce the pollution to ...
Polygon

Best attributes to level up in Clair Obscur: Expedition 33

Attributes determine the stats of your party members in Clair Obscur: Expedition 33. The most important thing you need to know about attributes is this: They make number go up. In this Clair Obscur: ...
IEEE

Pedestrian Attribute Recognition Based on Category Probability Loss Function

Abstract: In order to improve the recognition performance of pedestrian attribute recognition algorithm, based on the DeepMAR algorithm framework, an end to end attribute recognition algorithm is ...
GitHub

honeycombio/opentelemetry-collector-symbolicator

An open telemetry collector processor that will symbolicate JavaScript stack traces using source maps. The default configuration will load the source(map) files from a local path on disk. You can set ...