Stochastic Learning and Adaptive Control

Latest research

1. Penalized robust estimating equation and variable selection in a partially linear single-index varying-coefficient model

   • Gaorong Li
   • Liugen Xue
   • Riquan Zhang

   in Statistics and Computing

   Article 25 October 2025

   

2. Optimized adaptive H-infinity model reference control with guaranteed cost of nonlinear systems

   • Mohammed Qasim
   • Hazem I. Ali
   • Omar Farouq Lutfy

   in International Journal of Dynamics and Control

   Article 25 October 2025

   

3. Polarization Drift Compensation for Quantum Key Distribution Using Machine Learning

   • P. A. Kupriyanov
   • N. V. Rudavin
   • R. A. Shakhovoy

   in Physics of Particles and Nuclei

   Article 25 October 2025

   

4. Reinforcement learning-guided adaptive large neighborhood search for vehicle routing problem with time windows

   • Zhaohui Wang
   • Qiao Cui
   • Xiangsheng Huang

   in Journal of Combinatorial Optimization

   Article 25 October 2025

   

5. Learning curve for lateral lymph node dissection in rectal cancer – a systematic review of literature

   • D. Kehagias
   • L. Baldari
   • I. Kehagias

   in Techniques in Coloproctology

   Article Open access 25 October 2025

   

6. Resilient and adaptive workload optimization for cloud infrastructures: a GA-Q-Learning hybrid approach

   • Sandeep
   • Ankit
   • Siddharth Arora

   in International Journal of Information Technology

   Article 25 October 2025

   

7. Reinforcement learning for hexapod robot trajectory control: a study of Q-learning and SARSA algorithms

   • Ahmed Benyoucef
   • Youcef Zennir
   • Mohamed Benghanem

   in International Journal of Intelligent Robotics and Applications

   Article 25 October 2025

   

8. Wiener Systems Identification Using Forgetting Factor-Based Maximum Likelihood Stochastic Gradient Algorithm

   • Yangjing Shi
   • Jing Liu
   • Chengbing Zhao

   in Circuits, Systems, and Signal Processing

   Article 25 October 2025

   

9. Adaptive multi-scale framework for incremental semantic segmentation

   • ShaoJun Qu
   • DongLin Xie

   in Pattern Analysis and Applications

   Article 25 October 2025

   

10. A Machine-Learning Approach to Quantum State Estimation

    • R. Nigmatullin
    • N. Borisov
    • D. Derkach

    in Physics of Particles and Nuclei

    Article 25 October 2025

    

11. Efficiency optimization of photovoltaic system by integrating Adaptive Particle Swarm Optimization and Terminal Sliding Mode Control

    • Houssine EL Hammedi
    • Aymen Lachheb
    • Abderrahmen Zaafouri

    in Optimization and Engineering

    Article 25 October 2025

    

12. SCA-FLOD: a federated multi-objective learning framework for big data-driven threat detection and adaptive security policy enforcement in cloud infrastructure

    • Richa Verma
    • Ravindara Bhatt

    in International Journal of Information Technology

    Article 25 October 2025

    

13. Quantum-inspired multi-modal framework for real-time student engagement and performance prediction in smart learning environment

    • Shirly Abraham
    • Deepa Pillai
    • Trupti Bhosale

    in International Journal of Information Technology

    Article 25 October 2025

    

14. A novel multi-scale adaptive feature fusion framework for accurate and efficient bearing fault diagnosis

    • Yandong Hou
    • Huige Huang
    • Xiaodong Zhai

    in Signal, Image and Video Processing

    Article 25 October 2025

    

15. Performance Analysis of Momentum-Based Complex LMS Adaptive Filter for Non-circular Signals

    • Wanting Shi
    • Yili Xia
    • Wenjiang Pei

    in Circuits, Systems, and Signal Processing

    Article 25 October 2025

    

16. Inference of Utilities and Time Preference in Sequential Decision-Making

    • Haoyang Cao
    • Zhengqi Wu
    • Renyuan Xu

    in Applied Mathematics & Optimization

    Article 24 October 2025

    

17. A Novel L2-Gain Model Predictive Speed Control of Permanent Magnet Synchronous Motors with Recursive Feasibility

    • Shibin Li

    in Journal of Electrical Engineering & Technology

    Article 24 October 2025

    

18. Intelligent traffic light management using predictive and dynamic traffic flow analysis

    • Kuldeep Nautiyal
    • Durgaprasad Gangodkar
    • Anchit Bijalwan

    in Scientific Reports

    Article Open access 24 October 2025

    

19. Learning de-biased environment models for delivery incentive policy optimization on food delivery platforms

    • Yu-Ren Liu
    • Xiong-Hui Chen
    • Fangsheng Huang

    in Machine Learning

    Article 23 October 2025

    

20. Explainable deep reinforcement learning for climate forecasting with transfer learning

    • Thulasi Bikku
    • Ramadevi Chappala
    • Srinivasarao Thota

    in Environmental Science and Pollution Research

    Article 23 October 2025

    

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