AttDCT: Attention-Based Deep Learning Approach for Time Series Classification in the DCT Domain

AttDCT: Attention-Based Deep Learning Approach for Time Series Classification in the DCT Domain

<p dir="ltr">This article proposes a new deep learning framework for time series classification in the discrete cosine transform (DCT) domain with spectral enhancement and self-attention mechanisms. The time series signal is first partitioned into discrete segments. Each segment is r...

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Bibliographic Details
Main Author: Amine Haboub (22392097) (author)
Other Authors: Hamza Baali (14603380) (author), Abdesselam Bouzerdoum (17900021) (author)
Published: 2025
Subjects:
Information and computing sciences
Artificial intelligence
Machine learning
Mathematical sciences
Applied mathematics
Attention
convolutional neural networks (CNN)
deep learning
discrete cosine transform (DCT)
time series classification (TSC)
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