PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
GitHub

A SIMD boosted high-performance and correct Python JSON parsing library, faster than the fastest.

ssrJSON is a Python JSON library that leverages modern hardware capabilities to achieve peak performance, implemented primarily in C. It offers a fully compatible interface to Python’s standard json ...
IEEE

Spatial Downscaling of MODIS Land Surface Temperature Based on a Geographically Weighted Gradient Boosting Regression Model

Abstract: As a fundamental indicator of surface thermal conditions, land surface temperature (LST) provides essential information for characterizing land–atmosphere exchanges and surface energy ...
IEEE

HRRP Target Recognition Based on Modified Gradient Boosting Decision Tree

Abstract: Focused on radar automatic target recognition in open set environment, Extreme Value Theory (EVT) is introduced to modify Gradient Boosted Decision Trees (GBDT). We mark the method as Open ...