A Multi-Modal CNN-LSTM Framework with Multi-Head Attention and Focal Loss for Real-Time Elderly Fall Detection
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhou, Lijie, Wang, Luran |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
An Edge-Cloud Collaborative Architecture for Proactive Elderly Care: Real-Time Risk Assessment and Three-Level Emergency Response
por: Zhou, Lijie, et al.
Publicado: (2026)
por: Zhou, Lijie, et al.
Publicado: (2026)
MultiMax: Sparse and Multi-Modal Attention Learning
por: Zhou, Yuxuan, et al.
Publicado: (2024)
por: Zhou, Yuxuan, et al.
Publicado: (2024)
Asymmetric-Loss-Guided Hybrid CNN-BiLSTM-Attention Model for Industrial RUL Prediction with Interpretable Failure Heatmaps
por: Abdullah, Mohammed Ezzaldin Babiker
Publicado: (2026)
por: Abdullah, Mohammed Ezzaldin Babiker
Publicado: (2026)
Geometric Analysis of Token Selection in Multi-Head Attention
por: Mudarisov, Timur, et al.
Publicado: (2026)
por: Mudarisov, Timur, et al.
Publicado: (2026)
Superiority of Multi-Head Attention in In-Context Linear Regression
por: Cui, Yingqian, et al.
Publicado: (2024)
por: Cui, Yingqian, et al.
Publicado: (2024)
Multi-Head Spectral-Adaptive Graph Anomaly Detection
por: Cao, Qingyue, et al.
Publicado: (2025)
por: Cao, Qingyue, et al.
Publicado: (2025)
Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models
por: Gueriani, Afrah, et al.
Publicado: (2025)
por: Gueriani, Afrah, et al.
Publicado: (2025)
CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention
por: Zhou, Zhongzhu, et al.
Publicado: (2026)
por: Zhou, Zhongzhu, et al.
Publicado: (2026)
The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms
por: Otsuka, Hikari, et al.
Publicado: (2025)
por: Otsuka, Hikari, et al.
Publicado: (2025)
An Attention-Augmented VAE-BiLSTM Framework for Anomaly Detection in 12-Lead ECG Signals
por: Basora, Marc Garreta, et al.
Publicado: (2025)
por: Basora, Marc Garreta, et al.
Publicado: (2025)
MoH: Multi-Head Attention as Mixture-of-Head Attention
por: Jin, Peng, et al.
Publicado: (2024)
por: Jin, Peng, et al.
Publicado: (2024)
TransMLA: Multi-Head Latent Attention Is All You Need
por: Meng, Fanxu, et al.
Publicado: (2025)
por: Meng, Fanxu, et al.
Publicado: (2025)
Enhanced Speech Emotion Recognition with Efficient Channel Attention Guided Deep CNN-BiLSTM Framework
por: Kundu, Niloy Kumar, et al.
Publicado: (2024)
por: Kundu, Niloy Kumar, et al.
Publicado: (2024)
Multi-Modal Drift Forecasting of Leeway Objects via Navier-Stokes-Guided CNN and Sequence-to-Sequence Attention-Based Models
por: Adesunkanmi, Rahmat K., et al.
Publicado: (2025)
por: Adesunkanmi, Rahmat K., et al.
Publicado: (2025)
Dynamic Adaptive Shared Experts with Grouped Multi-Head Attention Mixture of Experts
por: Li, Cheng, et al.
Publicado: (2025)
por: Li, Cheng, et al.
Publicado: (2025)
TF-MCL: Time-frequency Fusion and Multi-domain Cross-Loss for Self-supervised Depression Detection
por: Zhao, Li-Xuan, et al.
Publicado: (2025)
por: Zhao, Li-Xuan, et al.
Publicado: (2025)
A Depression Detection Method Based on Multi-Modal Feature Fusion Using Cross-Attention
por: Li, Shengjie, et al.
Publicado: (2024)
por: Li, Shengjie, et al.
Publicado: (2024)
Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibration
por: Kimura, Masanari, et al.
Publicado: (2024)
por: Kimura, Masanari, et al.
Publicado: (2024)
CNN-LSTM Hybrid Deep Learning Model for Remaining Useful Life Estimation
por: G, Muthukumar, et al.
Publicado: (2024)
por: G, Muthukumar, et al.
Publicado: (2024)
Training Free Guided Flow Matching with Optimal Control
por: Wang, Luran, et al.
Publicado: (2024)
por: Wang, Luran, et al.
Publicado: (2024)
Hybrid Focal and Full-Range Attention Based Graph Transformers
por: Zhu, Minhong, et al.
Publicado: (2023)
por: Zhu, Minhong, et al.
Publicado: (2023)
A Semi-supervised Fake News Detection using Sentiment Encoding and LSTM with Self-Attention
por: Shaeri, Pouya, et al.
Publicado: (2024)
por: Shaeri, Pouya, et al.
Publicado: (2024)
ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN
por: Bashar, Md Abul, et al.
Publicado: (2023)
por: Bashar, Md Abul, et al.
Publicado: (2023)
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
por: Shiri, Farhad Mortezapour, et al.
Publicado: (2023)
por: Shiri, Farhad Mortezapour, et al.
Publicado: (2023)
Analytic Continual Test-Time Adaptation for Multi-Modality Corruption
por: Zhang, Yufei, et al.
Publicado: (2024)
por: Zhang, Yufei, et al.
Publicado: (2024)
Efficient CNN-LSTM based Parameter Estimation of Levy Driven Stochastic Differential Equations
por: Li, Shuaiyu, et al.
Publicado: (2024)
por: Li, Shuaiyu, et al.
Publicado: (2024)
Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations
por: Neves, Christopher, et al.
Publicado: (2024)
por: Neves, Christopher, et al.
Publicado: (2024)
MULTI-LF: A Continuous Learning Framework for Real-Time Malicious Traffic Detection in Multi-Environment Networks
por: Rustam, Furqan, et al.
Publicado: (2025)
por: Rustam, Furqan, et al.
Publicado: (2025)
Patch-Level Tokenization with CNN Encoders and Attention for Improved Transformer Time-Series Forecasting
por: Nagrath, Saurish, et al.
Publicado: (2026)
por: Nagrath, Saurish, et al.
Publicado: (2026)
A Novel Framework for Multi-Modal Protein Representation Learning
por: Zheng, Runjie, et al.
Publicado: (2025)
por: Zheng, Runjie, et al.
Publicado: (2025)
A Visualized Malware Detection Framework with CNN and Conditional GAN
por: Wang, Fang, et al.
Publicado: (2024)
por: Wang, Fang, et al.
Publicado: (2024)
Multi-Modal Time Series Prediction via Mixture of Modulated Experts
por: Zhang, Lige, et al.
Publicado: (2026)
por: Zhang, Lige, et al.
Publicado: (2026)
A Fusion of context-aware based BanglaBERT and Two-Layer Stacked LSTM Framework for Multi-Label Cyberbullying Detection
por: Raquib, Mirza, et al.
Publicado: (2026)
por: Raquib, Mirza, et al.
Publicado: (2026)
Network Level Spatial Temporal Traffic State Forecasting with Hierarchical-Attention-LSTM (HierAttnLSTM)
por: Zhang, Tianya
Publicado: (2022)
por: Zhang, Tianya
Publicado: (2022)
Multi-Head Attention Is a Multi-Player Game
por: Chakrabarti, Kushal, et al.
Publicado: (2026)
por: Chakrabarti, Kushal, et al.
Publicado: (2026)
TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting
por: Hu, Ao, et al.
Publicado: (2024)
por: Hu, Ao, et al.
Publicado: (2024)
Multi-Modal Molecular Representation Learning via Structure Awareness
por: Yin, Rong, et al.
Publicado: (2025)
por: Yin, Rong, et al.
Publicado: (2025)
A Multi-Head Attention Soft Random Forest for Interpretable Patient No-Show Prediction
por: Amalina, Ninda Nurseha, et al.
Publicado: (2025)
por: Amalina, Ninda Nurseha, et al.
Publicado: (2025)
Multi-Modal Manipulation via Multi-Modal Policy Consensus
por: Chen, Haonan, et al.
Publicado: (2025)
por: Chen, Haonan, et al.
Publicado: (2025)
LLMForge: Multi-Backend Hardware-Aware Neural Architecture Search with Infinite-Head Attention for Edge Language Models
por: Jiang, Xinting, et al.
Publicado: (2026)
por: Jiang, Xinting, et al.
Publicado: (2026)
Ejemplares similares
-
An Edge-Cloud Collaborative Architecture for Proactive Elderly Care: Real-Time Risk Assessment and Three-Level Emergency Response
por: Zhou, Lijie, et al.
Publicado: (2026) -
MultiMax: Sparse and Multi-Modal Attention Learning
por: Zhou, Yuxuan, et al.
Publicado: (2024) -
Asymmetric-Loss-Guided Hybrid CNN-BiLSTM-Attention Model for Industrial RUL Prediction with Interpretable Failure Heatmaps
por: Abdullah, Mohammed Ezzaldin Babiker
Publicado: (2026) -
Geometric Analysis of Token Selection in Multi-Head Attention
por: Mudarisov, Timur, et al.
Publicado: (2026) -
Superiority of Multi-Head Attention in In-Context Linear Regression
por: Cui, Yingqian, et al.
Publicado: (2024)