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Methods/1D CNN

1D CNN

1-Dimensional Convolutional Neural Networks

Computer VisionIntroduced 200092 papers
Source Paper

Description

1D Convolutional Neural Networks are similar to well known and more established 2D Convolutional Neural Networks. 1D Convolutional Neural Networks are used mainly used on text and 1D signals.

Papers Using This Method

Few-Shot Learning for Industrial Time Series: A Comparative Analysis Using the Example of Screw-Fastening Process Monitoring2025-06-16ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning2025-04-11Open Deep Search: Democratizing Search with Open-source Reasoning Agents2025-03-26Arrhythmia Classification from 12-Lead ECG Signals Using Convolutional and Transformer-Based Deep Learning Models2025-02-25Multimodal Bearing Fault Classification Under Variable Conditions: A 1D CNN with Transfer Learning2025-02-23SeizeIT2: Wearable Dataset Of Patients With Focal Epilepsy2025-02-03Convolutional Fourier Analysis Network (CFAN): A Unified Time-Frequency Approach for ECG Classification2025-02-01Context-Aware Deep Learning for Multi Modal Depression Detection2024-12-26From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology2024-12-23A Temporal Convolutional Network-based Approach for Network Intrusion Detection2024-12-23A 10.60 $μ$W 150 GOPS Mixed-Bit-Width Sparse CNN Accelerator for Life-Threatening Ventricular Arrhythmia Detection2024-10-22Mukhtasir-Khail-Net: An Ultra-Efficient Convolutional Neural Network for Sports Activity Recognition with Wearable Inertial Sensors2024-10-221DCNNTrans: BISINDO Sign Language Interpreters in Improving the Inclusiveness of Public Services2024-09-03FORS-EMG: A Novel sEMG Dataset for Hand Gesture Recognition Across Multiple Forearm Orientations2024-09-03Comparison of Optimizers for Fault Isolation and Diagnostics of Control Rod Drives2024-07-09Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data2024-06-16Generating density nowcasts for U.S. GDP growth with deep learning: Bayes by Backprop and Monte Carlo dropout2024-05-24LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images2024-03-18Chain-structured neural architecture search for financial time series forecasting2024-03-15Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data2024-03-13