Convolutional RNNs

RNN: Recurrent Neural Network

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Overview

Convolutional recurrent networks study how to model sequences whose inputs have spatial structure, such as video frames, weather maps, audio spectrograms, and sensor arrays. Common approaches include ConvLSTM and ConvGRU cells, which use convolutions inside recurrent updates, and CRNN hybrids that pair a CNN feature extractor with LSTM or GRU sequence modeling. They are used for tasks such as video prediction, precipitation nowcasting, speech and music recognition, and handwriting recognition, where spatial patterns and their evolution both matter. Their advantage over simpler recurrent or convolutional baselines is not universal, so current work tests architecture efficiency, physical constraints, and performance across multiple metrics and settings.

Latest papers

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25 papers1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. ST-GRU PredRNN-V2: A GRU-Based Reformulation of PredRNN-V2 for Video Prediction

    Oct 13, 2026Augusta van Haren, Hanna Hoogen, Luca Pattavina +1Video PredictionRecurrent Neural Networks

    Radboud University

  2. IRENE: A Convolutional GRU Ensemble Model for Radar Precipitation Nowcasting over Italy

    Sep 15, 2026Alessandro Camilletti, Gabriele Franch, Elena Tomasi +1Convolutional RNNsPrecipitation Forecasting

    Fondazione Bruno Kessler

  3. State of Health Estimation using Convolutional and Bidirectional LSTM Neural Networks tuned by Bayesian Optimization

    Aug 31, 2026Panagiotis Eleftheriadis, Foivos Georgios Kyrgios, Sonia LevaConvolutional RNNsLithium-Ion Batteries

    Department of Energy, Politecnico di Milano, via Lambruschini 4a, 20156 Milano, Italy

  4. HFEMCNet: A Compact Hybrid Frequency Enriched Multi Channel Network for Automatic Modulation Classification

    Aug 25, 2026Qamar Ijaz, Nayyer AafaqAutomatic Modulation ClassificationConvolutional RNNs

  5. A Hybrid Framework of Vision Transformer and Gated Recurrent Unit for Detection of Mosquito Diseases

    Aug 12, 2026Danial Sharifrazi, Saadat Behzadi, Nouman Javed +3Convolutional RNNsAnimal Behavior Analysis

    Institute for Intelligent Systems Research and Innovations (IISRI), Deakin University, Geelong, Australia · Department of Electronic Engineering, University of Bologna, Bologna, Italy · CSIRO Health and Biosecurity, Australian Animal Health Laboratory, Geelong, Australia

  6. Predictive Failure Detection in Network Hardware Using Thermal Imaging and Deep Learning with Sensor Fusion

    Aug 5, 2026Ashly JosephConvolutional RNNsPredictive Maintenance

    Independent Researcher

  7. Deep Learning CNN and Recurrence Analysis for Alpha Gamma EEG Biomarkers in Fragile X Syndrome

    Aug 1, 2026Zag ElSayed, Payton Siekierski, Jack Yanchen Liu +1Convolutional RNNsElectroencephalography

    School of Information Technology (SoIT), University of Cincinnati, Ohio, USA · Division of Child and Adolescent Psychiatry Cincinnati Children’s Hospital Medical Center, Ohio, USA

  8. Benchmarking ConvLSTM for One-Day-Ahead IMDAA Rainfall-Field Prediction across Four Indian Cities

    Jul 29, 2026Tanmay Ghosh, Shaurabh Anand, Rakesh Gomaji Nannewar +1Convolutional RNNsPrecipitation Forecasting

    National Institute of Advanced Studies, Indian Institute of Science Campus, Bengaluru, India. · School of Development, Azim Premji University, Bengaluru, India. · Complex Systems Programme, National Institute of Advanced Studies, Indian Institute of Science Campus, Bengaluru, India.

  9. Physics-Informed CNN-LSTM for Street-Scale Urban Flood Prediction: Reconciling Aggregate Accuracy and Street-Level Plausibility

    Jul 27, 2026Luc DCosta, Yidi Wang, Jonathan L. Goodall +1Convolutional RNNsFlood Inundation Mapping

    Chandra Robot Autonomy Lab, Department of Computer Science, University of Virginia, Charlottesville, VA 22904, USA · Link Lab, Multidisciplinary Research Center, University of Virginia, Charlottesville, VA 22904, USA · Hydroinformatics Research Group, Department of Civil and Environmental Engineering, University of Virginia, Charlottesville, VA 22904, USA

  10. Exploratory Analysis of Deep Learning Models for Forecasting Meteorological Parameters in the Agricultural Sector

    Jul 11, 2026Piotr Sikora, Sotirios KontogiannisConvolutional RNNsMultivariate Time Series Forecasting

    Faculty of Technical Physics, Information Technology and Applied Mathematics Lodz Universtiy of Technlogy · MicroComputer Systems Laboratory Dept. of Mathematics University of Ioannina

  11. Speaker head orientation estimation with a single microphone array using phase spectrogram features

    Jul 2, 2026Balint Turi, Archontis Politis, Parthasaarathy Sudarsanam +1Convolutional RNNsSpatial Audio

    Audio Research Group, Tampere University, Finland

  12. Urdu Katib Handwritten Dataset: A Historical Document Dataset for Offline Urdu Handwritten Text Recognition with CRNN-Based Baseline Evaluation

    Jun 17, 2026Ramza Basharat, Muhammad Usman AliConvolutional RNNsRecurrent Neural Networks

    Department of Computer Science, University of Gujrat, Pakistan · Department of Computer Science, University of Gujrat, Gujrat, Punjab, Pakistan

  13. Growing a Neural Network in Breadth, Depth, and Time

    May 24, 2026Eivinas Butkus, Kedar Garzón Gupta, Nikolaus KriegeskorteRecurrent Neural NetworksDynamic Neural Networks

    1Columbia University · 2NSF AI Institute for Artificial and Natural Intelligence

  14. CBANet: A Compact Attention-Based CNN-BiLSTM Network for Aggressive Driving Event Detection

    May 22, 2026Hanadi Alhamdan, Ghadah Alosaimi, Amir Atapour-Abarghouei +1Class-Imbalanced LearningConvolutional RNNs

    Department of Computer Science, Princess Nourah bint Abdulrahman University, Saudi Arabia · Department of Computer Science, Durham University, UK · Department of Computer Science, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia

  15. A Distribution Matching Approach to Neural Piano Transcription with Optimal Transport

    May 17, 2026Weixing Wei, Raynaldi Lalang, Dichucheng Li +1Convolutional RNNsAutomatic Music Transcription

    Graduate School of Informatics, Kyoto University, Japan · Graduate School of Engineering, Kyoto University, Japan · Independent Researcher, Hong Kong, China

  16. Understanding Cross-Language Transfer Improvements in Low-Resource HTR: The Role of Sequence Modeling

    May 7, 2026Sana Al-azzawi, Chang Liu, Nudrat Habib +2Convolutional RNNsRecurrent Neural Networks

    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering , Luleå, Sweden · Luleá University of Technology, Department of Computer Science, Electrical and Space Engineering , Luleå, Sweden

  17. A Comparative Study of PyCaret AutoML and CNN-BiLSTM for Binary Hate Speech Detection in Indonesian Twitter

    May 6, 2026Tanty Widiyastuti, Mayada, Adisty Syawalda Ariyanto +3Convolutional RNNsHate Speech Detection

    Department of Data Science Institut Teknologi Sumatera (ITERA) Lampung, Indonesia · Department of Informatics Institut Teknologi Sumatera (ITERA) Lampung, Indonesia

  18. Neural surrogates for crystal growth dynamics with variable supersaturation: explicit vs. implicit conditioning

    Apr 23, 2026Matteo Rigoni, Daniele Lanzoni, Francesco Montalenti +1Neural Surrogate ModelingConvolutional RNNs

    Dept. of Materials Science, University of Milano-Bicocca, 20125 Milano, Italy · Dept. of Physics, University of Genova, 16146 Genova, Italy

  19. Combining Convolution and Delay Learning in Recurrent Spiking Neural Networks

    Apr 17, 2026Lúcio Folly Sanches Zebendo, Eleonora Cicciarella, Michele RossiConvolutional RNNsEfficient Neural Network Inference

    University of Padova, Department of Information Engineering · Department of Mathematics “Tullio Levi Civita” at the University of Padova, Italy

  20. Asymmetric-Loss-Guided Hybrid CNN-BiLSTM-Attention Model for Industrial RUL Prediction with Interpretable Failure Heatmaps

    Apr 15, 2026Mohammed Ezzaldin Babiker AbdullahRUL EstimationPredictive Maintenance

    Omdurman Islamic University, Omdurman, Sudan

  21. Outperforming Self-Attention Mechanisms in Solar Irradiance Forecasting via Physics-Guided Neural Networks

    Apr 15, 2026Mohammed Ezzaldin Babiker Abdullah, Rufaidah Abdallah Ibrahim MohammedSolar Irradiance ForecastingSolar Power Forecasting

    Omdurman Islamic University, Omdurman, Sudan.

  22. Hybrid ResNet-1D-BiGRU with Multi-Head Attention for Cyberattack Detection in Industrial IoT Environments

    Apr 7, 2026Afrah Gueriani, Hamza Kheddar, Ahmed Cherif MazariIoT Intrusion DetectionConvolutional RNNs

    LSEA Lab., Faculty of Technology, University of MEDEA, Medea 26000, Algeria · LSEA Lab, Faculty of Science, University of MEDEA, Medea 26000, Algeria

  23. Development of ML model for triboelectric nanogenerator based sign language detection system

    Mar 26, 2026Meshv Patel, Bikash Baro, Sayan Bayan +1Sign Language RecognitionGesture Recognition

    Department of ICT, Pandit Deendayal Energy University, Gandhinagar, India · Department of Physics, Rajiv Gandhi University, Rono Hills, Itanagar, Arunachal Pradesh

  24. CANGuard: A Spatio-Temporal CNN-GRU-Attention Hybrid Architecture for Intrusion Detection in In-Vehicle CAN Networks

    Mar 26, 2026Rakib Hossain Sajib, Md. Rokon Mia, Prodip Kumar Sarker +2Network Intrusion DetectionConvolutional RNNs

    Department of Computer Science and Engineering, Begum Rokeya University, Rangpur, Rangpur, Bangladesh · Wilmington University, New Castle, Delaware, United States · Trine University, Angola, Indiana, United States

  25. Music Genre Classification: A Comparative Analysis of Classical Machine Learning and Deep Learning Approaches

    Mar 16, 2026Sachin Prajuli, Abhishek Karna, OmPrakash DhaklAudio ClassificationMusic Information Retrieval

    Computer Science and Engineering, University of texas at Arlington, Arlington, USA · Electronics and Computer Engineering, Tribhuvan University, IOE, kathmandu · Electronics and Computer Engineering, Tribhuvan University, IOE, Dharan