Long Short-Term Memory Networks

Also known as LSTM

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2 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. VertiFuseX: Generalizable Financial Forecasting via Multi-Stream Temporal Fusion

    Sep 14, 2026Aashish Bohra, Vivek VijayFinancial ForecastingNon-Stationary Time Series Forecasting

    Department of Computer Science and Engineering, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India · Department of Mathematics, Indian Institute of Technology Jodhpur, Jodhour, Inida

  2. X-RACE: XAI-assisted Recurrent neural network Attribution for Channel Estimation

    Sep 12, 2026Abdul Karim Gizzini, Yahia MedjahdiEfficient Neural Network InferenceExplainable Artificial Intelligence

    University of Paris-Est Cr´eteil (UPEC), LISSI/TincNET, F-94400, Vitry-sur-Seine, France. · IMT Nord Europe, Institut Mines T´el´ecom, Centre for Digital Systems, F-59653 Villeneuve d’Ascq, France.

  3. XGBoost "is all you need": the case of forecasting transmitted heat energy in District Heating Systems

    Aug 11, 2026Milan ZdravkovićGradient-Boosted Decision TreesEnergy-Efficient ML

    Faculty of Mechanical Engineering University of Niš ul. Aleksandra Medvedeva 14, 18000 Niš, Serbia

  4. MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction

    Jul 20, 2026Zhen Yu, Yachao Yuan, Zixiang Peng +2Traffic Accident AnticipationLong Short-Term Memory Networks

    School of Future Science and Engineering, Soochow University, Suzhou, Jiangsu, China · Key Laboratory of General Artificial Intelligence and Large Models in Provincial Universities, Soochow University, Suzhou, Jiangsu, China · College of Computing and Intelligent Systems, University of Khorfakkan, Sharjah, UAE

  5. The Orthogonalized Read Is a Removable Training Scaffold for Recurrent Memory

    Jul 2, 2026Keston Aquino-MichaelsLong Short-Term Memory NetworksAssociative Memory

    No Way Labs

  6. LSTM Variants for Chaotic Dynamical Systems: An Empirical Study on the Lorenz Attractor

    Jun 21, 2026Ruslan GokhmanTemporal Convolutional NetworksChaotic Dynamical Systems

    Yeshiva University

  7. David vs. Goliath in Next Activity Prediction: Argmax vs. LSTM, Transformer, and LLM

    Jun 14, 2026Hans Weytjens, Ingo WeberLLM EvaluationPredictive Process Monitoring

    Technical University of Munich, School of CIT, Germany · Fraunhofer Gesellschaft, Munich, Germany

  8. Towards Critical Branching Mechanism in Recurrent Neural Networks

    Jun 9, 2026Feixiang Ren, Ling FengRecurrent Neural NetworksLong Short-Term Memory Networks

    Department of Physics, National University of Singapore Singapore · Institute of High Performance Computing Agency for Science, Technology and Research (A*STAR) Singapore

  9. Physics-Informed Machine Learning for Short-Term Flood Prediction

    Jun 2, 2026Tewodros Syum Gebre, Jagrati Talreja, Leila Hashemi-BeniLong Short-Term Memory NetworksPhysics-Informed ML

    North Carolina A&T State University · Greensboro, NC 27407, USA

  10. Few-Shot Prediction for Pulsar Noise with Long Short-Term Memory Network

    Jun 2, 2026Qingye Tang, Dechao An, Haoran Peng +1Few-Shot LearningLong Short-Term Memory Networks

    Sichuan University, College of Computer Science · Sichuan University, College of Physics · Sichuan University

  11. Speech Emotion Recognition using Attention-based LSTM-Network with Residual Connection

    Jun 2, 2026Daniil Krasnoproshin, Maxim VashkevichSpeech Emotion RecognitionLong Short-Term Memory Networks

    Embedded System Department of Belarusian State University of Informatics and Radioelectronics 6, P. Brovky st., 220013, Minsk, Belarus

  12. Evaluating Transformer and LSTM Frameworks for Prediction in Ungauged Basins

    Jun 1, 2026Taye Akinrele, James Halgren, Noorbakhsh Amiri Golilarz +2TransformerTime Series Forecasting

    Dept. of Computer Science, The University of Alabama, Tuscaloosa, USA · Alabama Water Institute, USA

  13. Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility

    May 26, 2026Ye Kyaw Thu, Thazin Myint Oo, Thepchai SupnithiEfficient Neural Network InferenceLiquid Neural Networks

    National Electronics and Computer Technology Center (NECTEC), Pathumthani, Thailand · Language Understanding Lab., Yangon, Myanmar

  14. An Objective Performance Evaluation of the LSTM Networks in Time Series Classification

    May 19, 2026Sooraj Sunil, Balakumar BalasingamTime Series ClassificationRecurrent Neural Networks

    Electrical and Computer Engineering University of Windsor Windsor, ON, Canada

  15. Parallel Recursive LSTM

    May 16, 2026Tristan Gaudreault, Yongyi MaoRecurrent Neural NetworksLanguage Modeling

    School of Electrical Engineering and Computer Science University of Ottawa Ottawa, ON

  16. Ti-iLSTM: A TinyDL Approach for Logic-Level Anomaly Detection in Industrial Water Treatment Systems

    May 15, 2026Mandar Joshi, Farzana Zahid, Judy Bowen +3Efficient Neural Network InferenceIndustrial Anomaly Detection

    University of Waikato, Hamilton, New Zealand · Auckland University of Technology, Auckland, New Zealand · Aalto University, Espoo, Finland

  17. A Hybrid Tucker-LSTM Tensor Network Model for SOC Prediction in Electric Vehicles

    May 13, 2026Han Wang, Ying Wang, Bing WangLong Short-Term Memory Networks

    College of Computer and Information Science Southwest University Chongqing, China · School of Culture Tourism Chongqing Vocational College of Culture and Arts Chongqing, China · Digital Intelligence Center China Automotive Engineering Research Institute Co., Ltd. Chongqing, China

  18. Dual-Temporal LSTM with Hybrid Attention for Airline Passenger Load Factor Forecasting: Integrating Intra-Flight and Inter-Flight Booking Dynamics

    May 12, 2026ASM Nazrul Islam, Md. Hasanul Kabir, Md. Liakot Ali +1Time Series ForecastingLong Short-Term Memory Networks

    Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh · Islamic University of Technology, Dhaka, Bangladesh

  19. Neural-Actuarial Longevity Forecasting: Anchoring LSTMs for Explainable Risk Management

    May 7, 2026Davide RindoriLong-Term Time Series ForecastingAI Risk Management

    SAV Actuarial Candidate, ETH Zürich · PhD in Physics, University of Florence (2021)

  20. Sentiment Analysis of Indonesian Spotify Reviews Using Machine Learning and BiLSTM

    May 5, 2026Uliano Wilyam Purba, Andre Hadiman Rotua Parhusip, Sahid Maulana +3Sentiment AnalysisMulticlass Classification

    Department of Data Science Faculty of Science Sumatera Institute of Technology Lampung, Indonesia · Department of Informatics Engineering Faculty of Industrial Technology Sumatra Institute of Technology

  21. A Comparison of Traditional Machine Learning Algorithms and LSTM-Based Deep Learning Models for Email Sentiment Analysis

    May 5, 2026Virdio Samuel Saragih, Baruna Abirawa, Kartini Lovian Simbolon +3Sentiment AnalysisText Classification

    Faculty of Science Sumatra Institute of Technology

  22. Sentiment Analysis of Mobile Legends App Reviews Using Machine Learning and LSTM-Based Deep Learning Models

    May 2, 2026Vira Putri Maharani, Kharisa Harvanny, Daris Samudra +3Sentiment AnalysisLong Short-Term Memory Networks

    Department of Data Science Institut Teknologi Sumatera Lampung Selatan, Indonesia

  23. Remaining Useful Life Estimation for Turbofan Engines: A Comparative Study of Classical, CNN, and LSTM Approaches

    Apr 29, 2026Astitva Goel, Samarth Galchar, Sumit KanuRUL EstimationPredictive Maintenance

    Khoury College of Computer Science, Northeastern University

  24. Comparative Analysis of AutoML and BiLSTM Models for Cyberbullying Detection on Indonesian Instagram Comments

    Apr 29, 2026Raihana Adelia Putri, Aisyah Musfirah, Anggi Puspita Ningrum +3Long Short-Term Memory NetworksAttention Mechanisms

    Institut Teknologi Sumatera

  25. Enhancing Construction Worker Safety in Extreme Heat: A Machine Learning Approach Utilizing Wearable Technology for Predictive Health Analytics

    Apr 21, 2026Syed Sajid Ullah, Amir KhanLong Short-Term Memory NetworksWearable Health Monitoring

  26. KAN vs LSTM Performance in Time Series Forecasting

    Nov 23, 2025Tabish Ali Rather, S M Mahmudul Hasan Joy, Nadezda Sukhorukova +1Time Series ForecastingNon-Stationary Time Series Forecasting

    Department of Mathematics, Swinburne University of Technology, Hawthorn, 3122, Victoria, Australia.