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Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D ...
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CNN-Bi-LSTM: A Complex Environment-Oriented Cattle Behavior ...
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Hybrid CNN-LSTM Deep Learning for Track-Wise GNSS-R Ocean Wind Speed ...
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Sparse Temporal Data-Driven SSA-CNN-LSTM-Based Fault Prediction of ...
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Hybrid CNN-LSTM Deep Learning for Track-Wise GNSS-R Ocean Wind Speed ...
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Forecasting Stock Market Indices Using the Recurrent Neural Network ...
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CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of ...
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A Surrogate Model-Based Optimization Approach for Geothermal Well ...
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Hybrid CNN-LSTM Deep Learning for Track-Wise GNSS-R Ocean Wind Speed ...
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Personality-Based Emotion Recognition Using EEG Signals with a CNN-LSTM ...
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Prediction of Drought Thresholds Triggering Winter Wheat Yield Losses ...
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CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of ...
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A DDPG-LSTM Framework for Optimizing UAV-Enabled Integrated Sensing and ...
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A Fiber Vibration Signal Recognition Method Based on CNN-CBAM-LSTM
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CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of ...
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CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of ...
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Research on High-Frequency Information-Transmission Method of Smart ...
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Prediction of Machine Failure in Industry 4.0: A Hybrid CNN-LSTM Framework
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Traffic Flow Prediction Based on Hybrid Deep Learning Models ...
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Attention-Based CNN and Bi-LSTM Model Based on TF-IDF and GloVe Word ...
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Accelerating 3D Convolutional Neural Network with Channel Bottleneck ...
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A Two-Stage Structural Damage Detection Method Based on 1D-CNN and SVM
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Personality-Based Emotion Recognition Using EEG Signals with a CNN-LSTM ...
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Sparse Temporal Data-Driven SSA-CNN-LSTM-Based Fault Prediction of ...
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Machine Learning Short-Term Energy Consumption Forecasting for ...
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A Bidirectional LSTM Language Model for Code Evaluation and Repair
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Understanding GRU: The Elegant Gateway to Sequential Learning – Entropy ...
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Petroleum Price Prediction with CNN-LSTM and CNN-GRU Using Skip-Connection
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Petroleum Price Prediction with CNN-LSTM and CNN-GRU Using Skip-Connection
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A graph-based CNN-LSTM stock price prediction algorithm | S-Logix
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Enhanced NOMA System Using Adaptive Coding and Modulation Based on LSTM ...
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Text Summarization Using Lstm-Cnn Based Deep Learning | S-Logix
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CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of ...
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A Hydrological Data Prediction Model Based on LSTM with Attention Mechanism
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Forecasting Stock Market Indices Using the Recurrent Neural Network ...
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Forecasting Stock Market Indices Using the Recurrent Neural Network ...
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Forest Aboveground Biomass Estimation Using Multisource Remote Sensing ...
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Machine Learning Short-Term Energy Consumption Forecasting for ...
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Bi-LSTM Model to Increase Accuracy in Text Classification: Combining ...
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Machine Learning Short-Term Energy Consumption Forecasting for ...
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Bus-Passenger-Flow Prediction Model Based on WPD, Attention Mechanism ...
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Prediction in Catalytic Cracking Process Based on Swarm Intelligence ...
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F-LSTM: FPGA-Based Heterogeneous Computing Framework for Deploying LSTM ...
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Forest Aboveground Biomass Estimation Using Multisource Remote Sensing ...
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LSTM Attention Neural-Network-Based Signal Detection for Hybrid ...
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Stock Market Prediction Using LSTM Technique
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Bi-LSTM Model to Increase Accuracy in Text Classification: Combining ...
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Stock Market Prediction Using LSTM Recurrent Neural Network | S-Logix
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Pneumonia Based Covid-19 Classification using CNN and LSTM
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Convolutional Neural Network–Vision Transformer Architecture with Gated ...
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LSTM DSS Automatism and Dataset Optimization for Diabetes Prediction
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Enhanced NOMA System Using Adaptive Coding and Modulation Based on LSTM ...
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HUMAN ACTIVITY RECOGNITION USING SMARTPHONES
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(PDF) A Hybrid Technique using CNN LSTM for Speech Emotion Recognition
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TTCNN: A Breast Cancer Detection and Classification towards Computer ...
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LSTM-Based VAE-GAN for Time-Series Anomaly Detection
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MSCL-Attention: A Multi-Scale Convolutional Long Short-Term Memory ...
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Trajectory Planning for a Mobile Robot in a Dynamic Environment Using ...
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LSTM DSS Automatism and Dataset Optimization for Diabetes Prediction
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A Hybrid CNN-LSTM Approach for Deepfake Audio Detection - 2024 3rd IEEE ...
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Stock Market Prediction Using LSTM Technique
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An Overview of Deep-Learning-Based Methods for Cardiovascular Risk ...
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Path Planning for Multi-Arm Manipulators Using Soft Actor-Critic ...
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Image Captioning with Deep LSTM Based on Sequential Residual | S-Logix
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Driver Emotions Recognition Based on Improved Faster R-CNN and Neural ...
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LSTM-Based DWBA Prediction for Tactile Applications in Optical Access ...
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Assessing Fashion Retail Sales: A Comparative Study of Predictive ...
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Understanding LSTM Network Behaviour of IMU-Based Locomotion Mode ...
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Facial Emotion Recognition Using Conventional Machine Learning and Deep ...
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Deep Learning for Remote Sensing Image Scene Classification: A Review ...
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Candlestick Patterns Recognition using CNN-LSTM for Stock Trading - Studocu
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LSTM-Based Broad Learning System for Remaining Useful Life Prediction
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Power Quality Disturbance Classification Based on Parallel Fusion of ...
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Bi-LSTM-Based Neural Source Code Summarization
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A Study of CNN and Transfer Learning in Medical Imaging: Advantages ...
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Power Quality Disturbance Classification Based on Parallel Fusion of ...
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Warfarin Toxicity and Individual Variability—Clinical Case
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LSTM DSS Automatism and Dataset Optimization for Diabetes Prediction
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International Trade Settlement in Indian Rupees (INR) – RBI FAQs
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LSTM-Based Broad Learning System for Remaining Useful Life Prediction
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LSTM Attention Neural-Network-Based Signal Detection for Hybrid ...
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Facial Emotion Recognition Using Conventional Machine Learning and Deep ...
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Enhanced NOMA System Using Adaptive Coding and Modulation Based on LSTM ...
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LSTM DSS Automatism and Dataset Optimization for Diabetes Prediction
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LSTM DSS Automatism and Dataset Optimization for Diabetes Prediction
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Convolutional Neural Networks or Vision Transformers: Who Will Win the ...
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LSTM DSS Automatism and Dataset Optimization for Diabetes Prediction
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A Hybrid Forecast Model for Household Electric Power by Fusing Landmark ...
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Improved Droop Control Strategy for Microgrids Based on Auto ...
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KNN-Based Machine Learning Classifier Used on Deep Learned Spatial ...
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DC-YOLOv8: Small-Size Object Detection Algorithm Based on Camera Sensor
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A CNN-BiLSTM-AM method for stock price prediction - Python Projects | S ...
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Power Quality Disturbance Classification Based on Parallel Fusion of ...
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Warfarin Sodium Stability in Oral Formulations
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A Novel Deep Learning Approach for Deepfake Image Detection
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Improved Transformer-Based Dual-Path Network with Amplitude and Complex ...
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AlexNet Convolutional Neural Network for Disease Detection and ...
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LSTM DSS Automatism and Dataset Optimization for Diabetes Prediction
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Multi-Stage Classification of Retinal OCT Using Multi-Scale Ensemble ...
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Vision-Based Robotic Object Grasping—A Deep Reinforcement Learning Approach
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A Novel Spatio-Temporal FCN-LSTM Network for Recognizing Various Crop ...
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Towards Electric Price and Load Forecasting Using CNN-Based Ensembler ...
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Multi-Label Vulnerability Detection of Smart Contracts Based on Bi-LSTM ...
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Accelerating 3D Convolutional Neural Network with Channel Bottleneck ...
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LSTM DSS Automatism and Dataset Optimization for Diabetes Prediction
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LSTM DSS Automatism and Dataset Optimization for Diabetes Prediction
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Kalman Filter, ANN-MLP, LSTM and ACO Methods Showing Anomalous GPS-TEC ...
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LSTM DSS Automatism and Dataset Optimization for Diabetes Prediction
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Inflammatory Mechanisms of Diabetes and Its Vascular Complications
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A Multi-Level Attention Model for Remote Sensing Image Captions
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Aeroengine Working Condition Recognition Based on MsCNN-BiLSTM
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Warfarin safe and effective option for managing hemodialysis patients ...
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