Fluctuation and Noise Letters

5 works

Journal · ISSN 0219-4775

1. Enhancing Stock Price Prediction with Deep Cross-Modal Information Fusion Network

   Rabi Chandra Mandal, Rajnish Kler, Anil Tiwari +4

   ArticleStock Market Forecasting MethodsFluctuation and Noise Letters20230 citations

   ABIABI:AkademIndex/openalex/2023.article.001020

2. Approach Advancing Stock Market Forecasting with Joint RMSE Loss LSTM-CNN Model

   Mungara Kiran Kumar, Jagdish Chandra Patni, Mohan Raparthi +3

   ArticleStock Market Forecasting MethodsFluctuation and Noise Letters20230 citations

   ABIABI:AkademIndex/openalex/2023.article.001629

3. Dual-Attention Based Multi-Path Approach for Intensifying Stock Market Forecasting

   Sachin R. Jadhav, Aashima Bishnoi, Nodira Safarova +3

   ArticleStock Market Forecasting MethodsFluctuation and Noise Letters20230 citations

   ABIABI:AkademIndex/openalex/2023.article.002689

4. Graphical Deep Learning Prediction Model for Stock Risk Management

   Haewon Byeon, Shyamsunder Chitta, Shavkatov Navruzbek Shavkatovich +3

   ArticleStock Market Forecasting MethodsFluctuation and Noise Letters20230 citations

   ABIABI:AkademIndex/openalex/2023.article.011390

5. Multifractal Analysis in Age-Based Classification for COVID-19 Patients’ CT-Scan Images with Different Noise Levels

   R. Valarmathi, C. Thangaraj, D. Easwaramoorthy +3

   ArticleCOVID-19 diagnosis using AIFluctuation and Noise Letters20240 citations

   ABIABI:AkademIndex/openalex/2024.article.000705