GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
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 ...
ZDNet

I tracked 3,000 steps on my Apple Watch, Google Pixel, and Oura Ring - this one was most accurate

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...
IEEE

Leveraging ARIMA and Prophet Models for Effective Sales Forecasting and Inventory Management

Abstract: In today’s fast-paced and data-driven market environments, accurate sales forecasting and efficient inventory optimization are critical for minimizing losses and maximizing profitability.
GitHub

UTCI - Universal Thermal Climate Index

The Universal Thermal Climate Index (UTCI) is one of the most comprehensive indices for evaluating outdoor thermal comfort. It represents the equivalent temperature that would produce the same ...
IEEE

NeuroSketch: Bloom Filter-Based Sketch for Accurate Network Measurement via Neural Networks

Abstract: In network measurement, learning-based sketch is a hot topic recently, which combines traditional sketches with machine learning techniques to improve the accuracy of sketches, while ...