Showing 1,581 - 1,600 results of 4,960 for search '(intelligent OR intelligence) optimization algorithms', query time: 0.24s Refine Results
  1. 1581

    Security Performance Analysis of Downlink Double Intelligent Reflecting Surface Non-Orthogonal Multiple Access Network for Edge Users by Nguyen Thai Anh, Nguyen Hoang Viet, Dinh-Thuan Do, Adão Silva

    Published 2025-02-01
    “…Based on the analytical results, we develop an ASR optimization algorithm using the alternating optimization method, combining NOMA power allocation factor optimization and IRS passive beam optimization through the Lagrange double transform. …”
    Get full text
    Article
  2. 1582

    Computer-Driven Assessment of Weighted Attributes for E-Learning Optimization by Olga Ovtšarenko, Elena Safiulina

    Published 2025-03-01
    “…This study explores the application of artificial intelligence algorithms to optimize e-learners’ studying within a generalized e-course framework. …”
    Get full text
    Article
  3. 1583

    Multi-Intelligent Reflecting Surfaces and Artificial Noise-Assisted Cell-Free Massive MIMO Against Simultaneous Jamming and Eavesdropping by Huazhi Hu, Wei Xie, Kui Xu, Xiaochen Xia, Na Li, Huaiwu Wu

    Published 2024-11-01
    “…First, an access point (AP) selection strategy based on user location information is designed, which aims to determine the set of APs serving users. Then, a joint optimization framework based on the block coordinate descent (BCD) algorithm is constructed, and a non-convex optimization solution based on the univariate function optimization and semi-definite relaxation (SDR) is proposed with the aim of maximising the minimum achievable secrecy rate for users. …”
    Get full text
    Article
  4. 1584

    Artificial Intelligence-Assisted Clinical Decision-Making: A Perspective on Advancing Personalized Precision Medicine for Elderly Diabetes Patients by Hu J, Ren L, Wang T, Yao P

    Published 2025-08-01
    “…Through systematic analysis of current healthcare practices and emerging AI technologies, we examined the integration of machine learning algorithms, natural language processing, and intelligent monitoring systems into diabetes care for elderly populations. …”
    Get full text
    Article
  5. 1585
  6. 1586

    Modelling the Isotope composition of groundwater using hydrochemical properties in eastern Saudi Arabia: Implementation of innovative data intelligence techniques by Mohammed Benaafi, Waleed M. Hamanah, Ebrahim Al-Wajih

    Published 2025-02-01
    “…The study shows that the stacking ensemble models outperformed individual algorithms. The optimum model for δ¹ ⁸O (O_M1) was achieved with R² of 0.9858, MAE of 0.0440, and Pearson correlation of 0.9941. for δ²H the optimal model (H_M1) was achieved with R² of 0.9317, MAE of 0.5334, and Pearson correlation of 0.9658. …”
    Get full text
    Article
  7. 1587
  8. 1588

    Current state and prospects of development of energy-optimal control systems for 2ES6 electric locomotives by S. G. Istomin, K. I. Domanov, A. P. SHATOKHIN, I. N. Denisov

    Published 2024-09-01
    “…An analysis of current trends in energy saving and increasing the efficiency of traction energy resources in railway transport and their impact on haulage of trains shows that train guidance based on machine learning and artificial intelligence remains poorly researched. The study is primarily intended to determine the actual use of automation of goods train driving in the sections of the Ural-Siberian railway proving ground and its impact on the energy-optimal schedule of completed train operations.Materials and methods. …”
    Get full text
    Article
  9. 1589

    Design Method of Intelligent Ropeway Type Line Changing Robot Based on Lifting Force Control and Synovial Film Controller by Jiazhen Duan, Ruxin Shi, Hongtao Liu, Hailong Rong

    Published 2022-01-01
    “…The results show that the maximum operating time, maximum climbing angle, and maximum traveling speed of the robot developed in this study are all optimal, which are 45 min, 10°, and 1 m/s respectively, and the performance is better than the other three comparison algorithms.…”
    Get full text
    Article
  10. 1590

    Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities by Mahmoud Ragab, Ehab Bahaudien Ashary, Bandar M. Alghamdi, Rania Aboalela, Naif Alsaadi, Louai A. Maghrabi, Khalid H. Allehaibi

    Published 2025-02-01
    “…Eventually, the walrus optimization algorithm (WOA) is used for hyperparameter tuning to improve the parameters of the SSAE approach and achieve optimal performance. …”
    Get full text
    Article
  11. 1591

    Smart Charging and V2G: Enhancing a Hybrid Energy Storage System with Intelligent and Bidirectional EV Charging by Thomas Franzelin, Sarah Schwarz, Stephan Rinderknecht

    Published 2025-02-01
    “…This environment facilitates comprehensive investigations into EV behavior, charging strategies, control algorithms, and user interactions. It provides a platform for exploring the possibilities, limitations, and optimal use cases for smart charging and hybrid storage systems in practice.…”
    Get full text
    Article
  12. 1592
  13. 1593
  14. 1594

    A Lightweight, Intelligent Autonomous Exploration System for Indoor Robots Using Improved Random Walk With Back-Off Strategies by Blesson Mathews Luke, S. Abraham Sampson

    Published 2025-01-01
    “…This study presents the Intelligent Exploration (IE) algorithm, an innovative method that integrates an improved random walk technique, real-time LiDAR-based obstacle avoidance, and a strategic back-off mechanism to optimize exploration efficiency. …”
    Get full text
    Article
  15. 1595

    A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images by Hassaan Haider Syed, Muhammad Attique Khan, Usman Tariq, Ammar Armghan, Fayadh Alenezi, Junaid Ali Khan, Seungmin Rho, Seifedine Kadry, Venkatesan Rajinikanth

    Published 2021-01-01
    “…The proposed method includes four core steps: (i) preparing a database of three different classes such as COVID-19, pneumonia, and normal; (ii) modifying three pretrained deep learning models such as VGG16, ResNet50, and ResNet101 for the classification of COVID-19-positive scans; (iii) proposing an activation function and improving the firefly algorithm for feature selection; and (iv) fusing optimal selected features using descending order serial approach and classifying using multiclass supervised learning algorithms. …”
    Get full text
    Article
  16. 1596
  17. 1597
  18. 1598

    Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry by Miguel Mascarenhas, Francisco Mendes, Joana Mota, Tiago Ribeiro, Pedro Cardoso, Miguel Martins, Maria João Almeida, João Rala Cordeiro, João Ferreira, Guilherme Macedo, Cecilio Santander

    Published 2025-01-01
    “…This is the first worldwide study proving the accuracy of a ML model for differentiation of motility patterns in HR-ARM, demonstrating the value of artificial intelligence models in optimizing HR-ARM availability while reducing interobserver variability and increasing accuracy.…”
    Get full text
    Article
  19. 1599

    Cervical cancer demystified: exploring epidemiology, risk factors, screening, treatment modalities, preventive measures, and the role of artificial intelligence by N. Mohammad, M. Khan, M. Maqsood, A. H. K. Naseeb

    Published 2025-05-01
    “…This review aims to summarize current evidence on cervical cancer prevention, screening, and treatment, emphasizing the emerging role of artificial intelligence (AI) in improving diagnostic and therapeutic approaches. …”
    Get full text
    Article
  20. 1600

    Real-time prediction of the rate of penetration via computational intelligence: a comparative study on complex lithology in Southwest Iran by Mohammad Najafi, Yousef Shiri

    Published 2025-06-01
    “…Abstract The rate of penetration (ROP) is a critical parameter for optimizing oil well drilling and the overall cost of drilling operations. …”
    Get full text
    Article