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Research article

First published 2023-12-02

Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification

C. Saraswathi, B. Pushpa

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Open access

Research article

First published 2025-3

Dynamic learning of flue gas desulfurization process using deep LSTMs neural network

Xiaoli Li, Quanbo Liu, Kang Wang

Measurement and Control

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Research article

First published 2026

Improved LSTM deep learning network approach for enhanced creep prediction in concrete-filled steel tubes

Chao Yang, Weijiang Zeng, Yihang Jiang [...]

Advances in Structural Engineering

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Research article

First published 2022-04-28

Hybrid approach with Deep Auto-Encoder and optimized LSTM based Deep Learning approach to detect anomaly in cloud logs

Savaridassan Pankajashan, G. Maragatham, T. Kirthiga Devi

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2021-04-12

Abnormally high water temperature prediction using LSTM deep learning model

Hey-Min Choi, Min-Kyu Kim, Hyun Yang

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2025

Hybrid deep learning framework for wind speed downscaling using LSTM-CNN-attention model

Chhamman Lal, Rajesh Wadhvani, Juhi Kumari

Wind Engineering

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Research article

First published 2026

Intelligent Deep Learning Framework for Traffic Congestion Prediction in Internet of Vehicles Using Bi-LSTM and TabTransformer

Ajay Dureja, Shyla, Aman Dureja [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2023-12-02

Alzheimer’s disease detection using residual neural network with LSTM hybrid deep learning models

R. Vidhya, Dhanalaxmi Banavath, S. Kayalvili [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2025-5

Detection of cardiovascular disease using deep learning-based attention-guided bi-LSTM with electrocardiogram signals

Poonkodi P, Manoj Chouhan, Micheal Swamy Carmel Sobia [...]

Intelligent Decision Technologies

Open access

Research article

First published 2025

Exploring the potential of deep learning models integrating transformer and LSTM in predicting blood glucose levels for T1D patients

Xin Xiong, XinLiang Yang, Yunying Cai [...]

DIGITAL HEALTH

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