[Intelligenza Artificiale] The official repo for the paper: "CLAM: A Synergistic Deep Learning Model for Multi-Step Stock Price Trend Forecasting".
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Jan 18, 2025 - Jupyter Notebook
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hybrid-deep-learning
Here are 5 public repositories matching this topic...
Students Engagement Detection Using Hybrid EfficientNetB7 Together With TCN, LSTM, and Bi-LSTM (DAiSEE and VRESEE datasets)
lstm video-classification multiclass-classification bi-lstm tcn student-engagement efficientnetb7 daisee engagement-detection hybrid-deep-learning vresee
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Jun 2, 2024 - Jupyter Notebook
This research presents a hybrid deep learning framework combining MobileNet V2 with LSTM, GRU, and Bidirectional LSTM for classifying various potato diseases. The study explores the performance of different architectures to determine the optimal configuration for accurate disease categorization.
image-processing lstm gru stochastic-gradient-descent bidirectional-lstm mobilenet-v2 neural-network-architecture potato-disease-classification hybrid-deep-learning agricultural-disease-detection
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Aug 10, 2024 - Jupyter Notebook
Welcome to the GitHub repository for the project titled "Power-Law Based Speech Command Recognition using Hybrid CNN-GRU Model." This repository focuses on advancing speech command recognition in noisy conditions by employing a Power-Normalized Cepstral Coefficient (PNCC) implementation.
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Aug 24, 2023 - Python
This work was supported in part by the MOTIE (Ministry of Trade, Industry & Energy), Republic of Korea, under the Technology Innovation Program, and in part by the MSIT (Ministry of Science and ICT), Republic of Korea, under the Grand ICT Research Center Support Program.For full details, refer the published journal article using the link below.
real-time deep-learning distracted-driving-detection driver-distraction-detection hybrid-deep-learning driver-action driver-activity
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Dec 31, 2021
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