Scientific Research Publishing

Digital-Intelligence-Driven Evaluation and Forecasting of First-Launch Economy Performance: Evidence from the Plush Toy Industry in Ankang City, China ()

1 School of Economics and Management, Ankang University, Ankang, China. 2 School of Arts, Ankang University, Ankang, China. The first-launch economy has emerged as a critical policy instrument for ...
Forbes

‘The Boys’ Series Finale Release Time Is An Unforced Amazon Error

Forbes contributors publish independent expert analyses and insights. News and opinion about video games, television, movies and the internet. This voice experience is generated by AI. Learn more.
Variety

New ‘Wheel of Time’ Animated Series, Feature Films and Video Game in the Works From ‘Arcane,’ ‘League of Legends’ Producer Thomas Vu (EXCLUSIVE)

A slew of new projects based on Robert Jordan’s “The Wheel of Time” fantasy novels are in the works from IP owner iwot Studios and “Arcane” producer and Riot Games’ “League of Legends” vet Thomas Vu.
Hawaii News Now

First Alert Forecast: Time to prepare is now, severe storm approaching

HONOLULU (HawaiiNewsNow) - If you liked the weather yesterday, you can pretty much copy and paste that onto today’s forecast. It’ll be another nice day with a mix of clouds and sunshine. However, this ...
GitHub

aylatilio/lstm-nvda-stock-forecast

This project implements an LSTM-based time series forecasting pipeline to predict the 5-day forward log-return of NVDA and reconstruct the future USD closing price.
IEEE

Differential LSTM (D-LSTM): Integrating Differential Operators into LSTM Cells for Financial Time-Series Forecasting

Abstract: While Long Short-Term Memory (LSTM) networks are pivotal for time-series forecasting, their fixed recurrent structure struggles to capture the complex dynamics of financial markets, such as ...
GitHub

A comprehensive Python package for hierarchical time series forecasting with support for multiple forecasting methods, reconciliation techniques, and evaluation metrics.

This project provides a modern, well-structured implementation of hierarchical time series forecasting methods. It supports various forecasting algorithms (ARIMA, Prophet, LSTM) and reconciliation ...
Scientific Research Publishing

Kumar, I., Tripathi, B.K. and Singh, A. (2023) Attention-Based LSTM Network-Assisted Time Series Forecasting Models for Petroleum Production. Engineering Applications of ...

ABSTRACT: With the in-depth digital transformation of the global shipping industry, the accurate prediction of smart port operation efficiency has become a key factor in enhancing the competitiveness ...
IEEE

A Hybrid Minkowski-Log-Cosh Loss Function for Robust LSTM-Based Time Series Forecasting

Designing robust loss functions is essential for improving deep learning performance on noisy and sparse time series. We propose the Minkowski–Log–Cosh (MLC) loss, a hybrid formulation that integrates ...
pv magazine International

Hybrid PPA model improves PV-BESS bankability, say researchers

Researchers have modeled a hybrid financing scheme combining contracted and merchant components to improve the bankability of PV-battery energy storage system (PV-BESS) assets, using a Bayesian LSTM ...