Search Results - "LSTM"

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  1. 1
    Ankle Kinematics Estimation Using Artificial Neural Network and Multimodal IMU Data

    Ankle Kinematics Estimation Using Artificial Neural Network and Multimodal IMU Data

    Wang, L., Song, P., Stone, T., Weller, A., Pattinson, S.W.

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  2. 2
    Context-Aware LSTM for 3D Medical Image Localisation

    Context-Aware LSTM for 3D Medical Image Localisation

    Philip, Manna E., Erenbourg, Anna, Singh, Sonit, Stevenson, Gordon N., Welsh, Alec W., Sowmya, Arcot

    2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

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  3. 3
    Real-Time Eeg-Based Epileptic Seizure Detection by One-Class Classification using CNN-LSTM and STFT

    Real-Time Eeg-Based Epileptic Seizure Detection by One-Class Classification using CNN-LSTM and STFT

    Mirzaei, Erfan, Singh, Rahul

    2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

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  4. 4
    UNETVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM

    UNETVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM

    Guo, Xuhui, Dam, Tanmoy, Dhamdhere, Rohan, Modanwal, Gourav, Madabhushi, Anant

    2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

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  5. 5
    Exploiting Cross-Dimensional Dependency Using Vision-LSTM for Efficient Medical Image Segmentation

    Exploiting Cross-Dimensional Dependency Using Vision-LSTM for Efficient Medical Image Segmentation

    Dutta, Pallabi, Mitra, Sushmita

    2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

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  6. 6
    A Literature Review of Machine Learning Techniques for Dance Recognition and Robotic Vision

    A Literature Review of Machine Learning Techniques for Dance Recognition and Robotic Vision

    San, Lee Wei, Ajibade, Samuel-Soma M., Jasser, Muhammed Basheer, Ayodele, Adefemi, Ajayi, Babatunde Adedotun, Bassey, Mbiatke Anthony

    2025 IEEE International Conference on Robotics and Technologies for Industrial Automation (ROBOTHIA)

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  7. 7
    A Hybrid Deep Learning Model for Dance Recognition with Applications in Robotic Vision and AI Automation

    A Hybrid Deep Learning Model for Dance Recognition with Applications in Robotic Vision and AI Automation

    San, Lee Wei, Ajibade, Samuel-Soma M., Jasser, Muhammed Basheer, Adediran, Anthonia Oluwatosin, Ayodele, Adefemi

    2025 IEEE International Conference on Robotics and Technologies for Industrial Automation (ROBOTHIA)

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  8. 8
    Neural Network Approach to Identifying Anomalies in the Traffic Flow

    Neural Network Approach to Identifying Anomalies in the Traffic Flow

    Tovarnov, Mikhail S., Bykov, Nikita V.

    2025 7th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

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  9. 9
    Comparative Evaluation of Machine Learning Models for Time Series Forecasting in Network Traffic Analysis

    Comparative Evaluation of Machine Learning Models for Time Series Forecasting in Network Traffic Analysis

    Hussein, Areej, Gan Goh, Gerald Guan, Anbar, Mohammad Ali, Nassr, Mohammad, Semenova, Mariya I., Aksenova, Tatiana V.

    2025 7th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

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  10. 10
    Real-Time IoT Cybersecurity using Machine Learning-based AI Threat Detection System to Train Generative Robots

    Real-Time IoT Cybersecurity using Machine Learning-based AI Threat Detection System to Train Generative Robots

    Srilakshmi, P, Chaganti, Koushik Reddy, Suryam, Talachendri, I, Sweety Julia, Chaithanya, D., Kavitha, Jami

    2025 5th International Conference on Trends in Material Science and Inventive Materials (ICTMIM)

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  11. 11
    A Multi-Resolution Deep Learning Approach for IoT-Integrated Biomedical Signal Processing using CNN-LSTM

    A Multi-Resolution Deep Learning Approach for IoT-Integrated Biomedical Signal Processing using CNN-LSTM

    Priyadharshini, K., Mathias, Ajisha, Krishnan, R. Santhana, Kanthimathi, N, Francis Raj, J. Relin, Malar, P. Stella Rose

    2025 5th International Conference on Trends in Material Science and Inventive Materials (ICTMIM)

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  12. 12
    Predictive Modeling for Safety Risk Assessment in Bridge Construction using ARIMA and LSTM

    Predictive Modeling for Safety Risk Assessment in Bridge Construction using ARIMA and LSTM

    Ruthra, R., S, Naveen, P, Sreesh Kalingaraya, J, Marshall

    2025 5th International Conference on Trends in Material Science and Inventive Materials (ICTMIM)

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  13. 13
    Ripeness Detection of Dragon Fruit with Temperature Factors using IoT and LSTM

    Ripeness Detection of Dragon Fruit with Temperature Factors using IoT and LSTM

    D, Srimathi, J J, Subha, S, Thirugnanasambanthan, S.S.Thamilselvi

    2025 5th International Conference on Trends in Material Science and Inventive Materials (ICTMIM)

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  14. 14
    An IoT-Enabled Battery Capacity Monitoring System for Solar Panels in Electric Vehicles with Self-Attention and Bidirectional LSTM Models

    An IoT-Enabled Battery Capacity Monitoring System for Solar Panels in Electric Vehicles with Self-Attention and Bidirectional LSTM Models

    Kumar, Neeraj, Murugan, A. S. S., Muthurajan, S., Chidambararaj, N., Kumar, D Praveen Sangeeth, Pandian, Alagu Sundara

    2025 5th International Conference on Trends in Material Science and Inventive Materials (ICTMIM)

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  15. 15
    Designing an Adaptive Intrusion Detection Model for IoT Smart Homes using Reinforcement Learning

    Designing an Adaptive Intrusion Detection Model for IoT Smart Homes using Reinforcement Learning

    Ahammad, K Shakir, Sasikala, C.

    2025 5th International Conference on Trends in Material Science and Inventive Materials (ICTMIM)

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  16. 16
    A Comparative Study for Effectiveness of Different Artificial Intelligence Models for Thai Lettuce Price Prediction

    A Comparative Study for Effectiveness of Different Artificial Intelligence Models for Thai Lettuce Price Prediction

    Chamnanchak, Kawin, Rattanasiri, Nopparuj, Imjai, Yossawat, Muroh, Pichamon

    2025 IEEE International Conference on Cybernetics and Innovations (ICCI)

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  17. 17
    Forecasting Cryptocurrency Prices in the DeFi Ecosystem Using Predictive Models

    Forecasting Cryptocurrency Prices in the DeFi Ecosystem Using Predictive Models

    Sruthi, Srigiri, Saravanan, Deivanai, C., Jyotsna

    2025 International Conference on Computing for Sustainability and Intelligent Future (COMP-SIF)

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  18. 18
    EEG-ViLSTM: A Deep Learning Approach for Depression Detection Using EEG Signals

    EEG-ViLSTM: A Deep Learning Approach for Depression Detection Using EEG Signals

    Kumar, Lokesh, Kaustubh, Kumar, Rajkhowa, Tonmoy, Mattur, Shashaank Aswatha

    2025 National Conference on Communications (NCC)

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  19. 19
    Two-Stage Data-Driven Modeling for Day-Ahead Solar Power Forecasting: A Case Study of the SUT Campus Floating Solar System

    Two-Stage Data-Driven Modeling for Day-Ahead Solar Power Forecasting: A Case Study of the SUT Campus Floating Solar System

    Thongwily, Wipada, Junhuathon, Nitikorn, Chayakulkheeree, Keerati

    2025 13th International Electrical Engineering Congress (iEECON)

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  20. 20
    User Behavior Prediction with Deep Learning: An Evaluation of CNN, LSTM, RNN, and Hybrid Models

    User Behavior Prediction with Deep Learning: An Evaluation of CNN, LSTM, RNN, and Hybrid Models

    Sreedevi, S., Rajashekar, Ayesha, Samreen, Shaik Amzad Basha, Md, Prathibha, L

    2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS)

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