Sökresultat - "Seizure prediction"

Accurate Hardware Predictor for Epileptic Seizure

Khalil, K., Kumar, A., Bayoumi, M.

Feature Unlearning for EEG-Based Seizure Prediction

Shao, C., Li, C., Song, R., Xu, G., Chen, X.

An Iterative Analysis of Deep Learning Models Including LSTM and CNN-GRU for Real-Time Seizure Prediction

Sai, Ramula Uttham, Parthiban, Latha

2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS)

Utilizing Pretrained Vision Transformers and Large Language Models for Epileptic Seizure Prediction

Parani, Paras, Mohammad, Umair, Saeed, Fahad

2025 8th International Conference on Data Science and Machine Learning Applications (CDMA)

Predicting the Likelihood of a Recurrent Febrile Seizure Using Thermographic Images and Deep Learning with Rules Generation

Patil, Pratima, Deshpande, Deepa S

2025 1st International Conference on AIML-Applications for Engineering & Technology (ICAET)

A Spatiotemporal Posterior Graph Convolutional Neural Network Based on Multihead Attention With Squeeze-and-Excitation Module for Patient-Specific Epileptic Seizure Prediction

Fu, R., Zhang, B., Xue, B., Wang, D.

Interpretable Multi-Branch Architecture for Spatiotemporal Neural Networks and Its Application in Seizure Prediction

Shan, B., Yu, H., Huang, Y., Xu, M., Ming, D.

Multiscale Convolutional Attention Network for Epileptic Seizure Prediction

Wang, Xiuli, Zhang, Yanli

2024 4th International Conference on Electronic Information Engineering and Computer Communication (EIECC)

Evaluating the Impact of Uncertainty Learning Techniques on EEG-Based Seizure Prediction

Esmi, Nima, Shahbahrami, Asadollah, Hosseini, Bahare, Keshavarz, Sasan

2024 10th International Conference on Signal Processing and Intelligent Systems (ICSPIS)

Privacy-Preserving Federated Interpretability

Abtahi, Azra, Aminifar, Amin, Aminifar, Amir

2024 IEEE International Conference on Big Data (BigData)

Lightweight Transformer exhibits comparable performance to LLMs for Seizure Prediction: A case for light-weight models for EEG data

Parani, Paras, Mohammad, Umair, Saeed, Fahad

2024 IEEE International Conference on Big Data (BigData)

Enhancing Deep Learning-Based Epileptic Seizure Detection with Generative AI Techniques

Bouallagui, Hamza, Chniter, Hamza, Ghaffari, Fakhreddine, Romain, Olivier

2024 International Conference on Microelectronics (ICM)

MTL-SSU: A Multi-Task Self-Supervised Learning Framework for Epileptic Seizure Prediction

Lou, Jionghao, Zhang, Jian, Li, Zhongmei, Feng, Enbo

2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

A Hybrid Deep Learning Model for Early Detection of Epileptic Seizures

Bose, Ankita, Reddy, C Karthik, Balaji, O Nithin Sai, Dushyanth, B V

2024 IEEE Conference on Engineering Informatics (ICEI)

Temporal-Spectral Generative Adversarial Network based Multi-Level Consistency Learning for Epileptic Seizure Prediction

Xu, Zhaoliang, Cui, Weigang, Li, Yang

2024 4th International Conference on Industrial Automation, Robotics and Control Engineering (IARCE)

Multi-Scale-Rhythm Attention Feature Contrastive Learning for Epileptic Seizure Prediction

Wang, Yifan, Liu, Wenkang, Li, Yang

2024 4th International Conference on Industrial Automation, Robotics and Control Engineering (IARCE)

An IoMT Based Epileptic Seizure Predictor Using Dual-Path Temporal-Spectral Encoded Spatial Dynamic Graph Convolution Network

Yan, Weidong, Sun, Mingyi, Li, Yang

2024 4th International Conference on Industrial Automation, Robotics and Control Engineering (IARCE)

Advancement in EEG Signal Feature Extraction for Enhanced Seizure Detection and Prediction

Khattar, Sonam, Kaur, Ravinder

2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS)

Epileptic Seizure Prediction through ML And DL Models: A Survey

Viswanath, J., Annamalai, S., Ramesh, S.

2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA)

A Seizure Prediction Method for Epilepsy Utilizing Lightweight Convolutional Neural Networks and Time-frequency Spectrograms of EEG Signals

Lu, Lun, Wu, Jiadong, Wang, Yinan, Yang, Zhuanyi, Deng, Mingxin, Li, Zhiwei, Li, Qingjiang

2024 IEEE Biomedical Circuits and Systems Conference (BioCAS)