Showing 3,421 - 3,440 results of 12,475 for search '"Algorithm"', query time: 0.09s Refine Results
  1. 3421
  2. 3422
  3. 3423
  4. 3424
  5. 3425
  6. 3426
  7. 3427
  8. 3428

    Advancements in Machine Learning and Deep Learning Techniques for Crop Yield Prediction: A Comprehensive Review by V. Ramesh and P. Kumaresan

    Published 2024-12-01
    Subjects: “…crop yield prediction, machine learning, deep learning, artificial neural networks, optimization algorithms…”
    Get full text
    Article
  9. 3429
  10. 3430
  11. 3431
  12. 3432

    A comprehensive overview of load balancing methods in software-defined networks by Rasoul Farahi

    Published 2025-01-01
    Subjects: “…Artificial intelligence algorithms…”
    Get full text
    Article
  13. 3433
  14. 3434
  15. 3435
  16. 3436
  17. 3437

    Feasibility analysis of non-electrocardiogram-triggered chest low-dose computed tomography using a kV-independent reconstruction algorithm for predicting cardiovascular disease risk in patients receiving maintenance hemodialysis by Xiangming Wang, Ao Liu, Yan Zhao, Xianbo Yu, Yushuo Cao, Min Li, Jing Liu, Yu Du, Li Yang

    Published 2025-01-01
    “…Abstract Objectives This study aimed to evaluate the feasibility and accuracy of non-electrocardiogram (ECG)-triggered chest low-dose computed tomography (LDCT) with a kV-independent reconstruction algorithm in assessing coronary artery calcification (CAC) degree and cardiovascular disease risk in patients receiving maintenance hemodialysis (MHD). …”
    Get full text
    Article
  18. 3438
  19. 3439

    A Hybrid Random Forest and Least Squares Support Vector Machine Model Based on Particle Swarm Optimization Algorithm for Slope Stability Prediction: A Case Study in Sichuan–Tibet Highway, China by Tao Shu, Wei Tao, Haotian Lu, Hao Li, Jingxuan Cao

    Published 2023-01-01
    “…Combined with random forest (RF), particle swarm optimization (PSO), and least squares support vector machine (LSSVM) algorithms, a hybrid prediction model that the RF–PSO–LSSVM model is proposed for identifying slope stability, and its reliability is verified by other prediction models that SVM, logistic regression, decision trees, k-nearest neighbor, naive Bayes, and linear discriminant analysis. …”
    Get full text
    Article
  20. 3440