TYPHOON TRACK PREDICTION BY CNN-LSTM NETWORK BASED ON LARGE ENSEMBLE CLIMATE DATASET d4PDF

Authors

Takuya Miyashita (ORCID: https://orcid.org/0000-0002-3196-2726)
Tomoya Shimura
Nobuhito Mori (ORCID: https://orcid.org/0000-0001-9082-3235)
Takatora NAMEGAI

Publication Details

Journal: Japanese Journal of JSCE
Published: 2025-01-01
DOI: https://doi.org/10.2208/jscejj.25-17255
Primary Topic: Traffic Prediction and Management Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

TYPHOON TRACK PREDICTION BY CNN-LSTM NETWORK BASED ON LARGE ENSEMBLE CLIMATE DATASET d4PDF

Takuya Miyashita, Tomoya Shimura, Nobuhito Mori, Takatora NAMEGAI

Jan 1, 2025

Japanese Journal of JSCE

Traffic Prediction and Management Techniques

article

TYPHOON TRACK PREDICTION BY CNN-LSTM NETWORK BASED ON LARGE ENSEMBLE CLIMATE DATASET d4PDF

Takuya Miyashita, Tomoya Shimura, Nobuhito Mori, Takatora NAMEGAI

January 1, 2025article en

Abstract

No abstract available for this paper.

Japanese Journal of JSCEVol. 81(17)

Openalex Percentile: Top 65%

Traffic Prediction and Management Techniques

DOI Source OpenAlex

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TYPHOON TRACK PREDICTION BY CNN-LSTM NETWORK BASED ON LARGE ENSEMBLE CLIMATE DATASET d4PDF — Takuya Miyashita, Tomoya Shimura, et al. · Japanese Journal of JSCE (2025) | TGRS Research Map | TGRS