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IEEE5mon
AttDCT: Attention-Based Deep Learning Approach for Time Series Classification in the DCT Domain - IEEE Xplore
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 ...
marktechpost9mon
Ready Tensor’s Deep Dive into Time Series Step Classification: Comparative Analysis of 25 Machine Learning and Neural Network Models - MarkTechPost
Time series analysis is a complex & challenging domain in data science, primarily due to the sequential nature and temporal dependencies inherent in the data. Step classification in this context ...
Scientific Research Publishing11mon
Brownlee, J. (2018). Deep Learning for Time Series Forecasting: Predict the Future with MLPs, CNNs and LSTMs in Python. Machine Learning Mastery. - Scientific Research Publishing
Article citations More>> Brownlee, J. (2018). Deep Learning for Time Series Forecasting: Predict the Future with MLPs, CNNs and LSTMs in Python. Machine Learning Mastery. has been cited by the ...
techxplore1y
Researchers unveil time series deep learning technique for optimal performance in AI models
Researchers unveil time series deep learning technique for optimal performance in AI models by JooHyeon Heo, Ulsan National Institute of Science and Technology Comparison of test losses for Neural ...
marktechpost1y
Top Ten Python Libraries for Machine Learning and Deep Learning in 2024
In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, ...
unite1y
10 Best Python Libraries for Deep Learning (2025) - Unite.AI
10. MXNet Closing out our list of the 10 best Python libraries for deep learning is MXNet, which is a highly scalable open-source deep learning framework. MXNet was designed to train and deploy deep ...