Scientific Research Publishing

Ihsan, U., & Mehmet, B. (2023). Daily Air Temperature Forecasting Using LSTM-CNN and GRU-CNN Models. Acta Geophysica, 72, 2107-2126.

ABSTRACT: Under the context of global climate change, the frequent occurrence of strong winds in Guyuan has significantly hindered the development of local facility agriculture. Using hourly ...
C&EN

Research on Remaining Useful Life Prediction of PEMWE Stack Based on the LSTM-iTransformer Model

In the context of global energy shortages, traditional energy sources face issues of limited reserves and high prices. As a result, the importance of energy storage technology is increasingly ...
Frontiers

Application and comparison of ARIMA, LSTM, and ARIMA-LSTM models for predicting foodborne diseases in Liaoning Province

Objective: To compare the application of the ARIMA model, the Long Short-Term Memory (LSTM) model and the ARIMA-LSTM model in forecasting foodborne disease incidence. Methods: Monthly case data of ...
GitHub

Python Implementation of MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings

Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...
GitHub

willvx3m/po-ai-chrome

A comprehensive, modular trading extension that combines cutting-edge artificial intelligence, deep learning models, and sophisticated trading strategies to automate binary options trading on ...
IEEE

Development of a Long Short-Term Memory (LSTM)-Based Statistical Model for Earthquake Forecasting in Central Asia

Abstract: Earthquake forecasting using traditional methods remains a complex task due to the inherent nonlinearity and stochastic nature of seismic activity. Therefore, this study examines the ...
Frontiers

PSOA-LSTM: a hybrid attention-based LSTM model optimized by particle swarm optimization for accurate lung cancer incidence forecasting in China (1990–2021)

Background: Accurate forecasting of lung cancer incidence is crucial for early prevention, effective medical resource allocation, and evidence-based policymaking. Objective: This study proposes a ...
Traders Magazine

DSB Update: UPI Implementation, Pricing Models & Digital Assets

Since launching its UPI service, the Derivative Service Bureau’s user base has doubled to more than 2000 users across 40 markets. In a brief explainer, DSB Managing Director Emma Kalliomaki speaks to ...
IEEE

Integrating an SW-LSTM Model With GNSS-IR to Enhance Sea-Level Measurements During Storm Surges

Abstract: Conventional tide gauges have limitations in extreme weather due to their susceptibility to damage from high waves and storm surges, as well as potential inaccuracies caused by rapid changes ...
C&EN

Prediction of Flowing Bottomhole Pressure in Gas-Lifted Wells Using LSTM-ANN Models

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...