Showing 1,461 - 1,480 results of 12,239 for search 'algorithm detection', query time: 0.23s Refine Results
  1. 1461

    Methods and Algorithms of Wide Band Radiomonitoring under Small Element Antenna Arrays by D. O. Zadirako, V. N. Malyshev, N. S. Stenjukov, D. N. Fayzullina, M. E. Shevchenko, M. S. Shmyrin

    Published 2016-04-01
    “…Methods of panoramic radiomonitoring and developed on their basis algorithms for joint detection and direction finding in a wide band of frequencies are presented. …”
    Get full text
    Article
  2. 1462
  3. 1463

    Simulation of Patch Field Effect in Space-Borne Gravitational Wave Detection Missions by Mingchao She, Xiaodong Peng, Li-E Qiang

    Published 2025-05-01
    Subjects: “…space-borne gravitational wave detection…”
    Get full text
    Article
  4. 1464

    Early detection of gray mold on eggplant leaves using hyperspectral imaging technique by FENG Lei, ZHANG De-rong, CHEN Shuang-shuang, FENG Bin, XIE Chuan-qi, CHEN Youyuan, HE Yong

    Published 2012-05-01
    “…Early detection of gray mold on eggplant leaves using hyperspectral imaging technique was proposed. …”
    Get full text
    Article
  5. 1465
  6. 1466

    An Improved Clustering Cooperative Spectrum Sensing Algorithm Based on Modified Double-Threshold Energy Detection and Its Optimization in Cognitive Wireless Sensor Networks by Shubin Wang, Huiqin Liu, Kun Liu

    Published 2015-10-01
    “…Simulation results show that the detecting accuracy of the improved algorithm is higher than conventional CSS, and the improved algorithm can also significantly improve collaborative sensing ability. …”
    Get full text
    Article
  7. 1467
  8. 1468
  9. 1469

    OperonSEQer: A set of machine-learning algorithms with threshold voting for detection of operon pairs using short-read RNA-sequencing data. by Raga Krishnakumar, Anne M Ruffing

    Published 2022-01-01
    “…In addition, we provide the code so that users can retrain the algorithm and re-establish hyperparameters based on any data they choose, allowing for this method to be expanded as additional data is generated. …”
    Get full text
    Article
  10. 1470
  11. 1471

    Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms by Manal Abdullah Alohali, Sultan Alahmari, Mohammed Aljebreen, Mashael M. Asiri, Achraf Ben Miled, Sami Saad Albouq, Othman Alrusaini, Ali Alqazzaz

    Published 2025-07-01
    “…Researchers have proposed numerous malware detection solutions for the past few years. Machine learning (ML) and deep learning (DL)-based detection models can decrease analysis time and increase malware detection accuracy. …”
    Get full text
    Article
  12. 1472

    A Machine Learning Algorithm Using Texture Features for Nighttime Cloud Detection from FY-3D MERSI L1 Imagery by Yilin Li, Yuhao Wu, Jun Li, Anlai Sun, Naiqiang Zhang, Yonglou Liang

    Published 2025-03-01
    “…This IR-alone algorithm advancement offers a reliable tool for nighttime cloud detection, significantly enhancing the quantitative applications of satellite imager observations.…”
    Get full text
    Article
  13. 1473

    Comparative study of multiple algorithms classification for land use and land cover change detection and its impact on local climate of Mardan District, Pakistan by Farnaz, Narissara Nuthammachot, Muhammad Zeeshan Ali

    Published 2025-04-01
    “…This study aims to evaluate the performance of various machine learning classifiers, including Support Vector Machine (SVM), Random Forest Algorithm (RFA), K-Nearest Neighbor (KNN), and Maximum Likelihood (MLH), in detecting Land Use and Land Cover [LULC] changes in Mardan District, Pakistan, from 2015 to 2023. …”
    Get full text
    Article
  14. 1474

    Ammonia and ethanol detection via an electronic nose utilizing a bionic chamber and a sparrow search algorithm-optimized backpropagation neural network. by Yeping Shi, Yunbo Shi, Haodong Niu, Jinzhou Liu, Pengjiao Sun

    Published 2024-01-01
    “…Response data are classified and regressed using a sparrow search algorithm (SSA)-optimized backpropagation neural network (BPNN). …”
    Get full text
    Article
  15. 1475

    Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative Evaluation by Antonio García-Domínguez, Carlos E. Galván-Tejada, Rafael Magallanes-Quintanar, Hamurabi Gamboa-Rosales, Irma González Curiel, Jesús Peralta-Romero, Miguel Cruz

    Published 2023-01-01
    “…In the domain of diabetes diagnosis, machine learning algorithms have been widely explored for generating disease detection models, leveraging diverse datasets primarily derived from clinical studies. …”
    Get full text
    Article
  16. 1476
  17. 1477
  18. 1478
  19. 1479
  20. 1480