Memeburn

What Is Agentic AI? The Definitive Guide to Autonomous Systems

Discover what agentic AI is and how AI agents work. Uncover the types of agentic AI systems, their enterprise use cases, ...
Scientific Research Publishing

Improving Demand Forecasting for Haemodialysis Consumables in Zambia: A Comparative Analysis of Time-Series Models ()

In many public healthcare systems, particularly in resource-constrained environments, time-series forecasting models offer a practical, interpretable, and evidence-based alternative (Stacey et al., ...
IEEE

Vision-Based Time Series Crowd Forecasting Using Semi-Supervised Learning

Abstract: Crowd forecasting is a crucial component of public safety, urban planning, and event management, enabling proactive decision-making based on anticipated crowd dynamics. Traditional ...
IEEE

A Hybrid Statistical and Web-based Framework for Accurate Sales Forecasting using SARIMAX

Abstract: This paper presents an intelligent, data-driven forecasting system based on the Seasonal AutoRegressive Integrated Moving Average with Exogenous Variables (SARIMAX) model. The proposed ...

Prediction Market Software Development: A Simple Guide

Prediction markets have quietly become one of the most interesting corners of the tech world. From forecasting elections to predicting sports outcomes and even guessing the next big product launch, ...
GitHub

This repo describes python code and input data files for "Forecasting stock return distributions around the globe with quantile neural networks".

torch 2.2.2 PyTorch framework for neural networks. The documented GPU setup targets the official CUDA 12.1 wheel. FF3.CSV Ken French Data Library Full file included Fama-French 3-factor returns. Only ...