يعرض 141 - 160 نتائج من 786 نتيجة بحث عن '(((( developing control algorithm ) OR ( elements data algorithm ))) OR ( data using algorithm ))*', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 141

    Ensemble-Based Spam Detection in Smart Home IoT Devices Time Series Data Using Machine Learning Techniques حسب Ameema Zainab (16864263)

    منشور في 2020
    "…The obtained results illustrate the efficacy of the proposed algorithm to analyze the time series data from the IoT devices for spam detection.…"
  2. 142

    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

    منشور في 2022
    "…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"
  3. 143
  4. 144
  5. 145
  6. 146

    BUC algorithm for iceberg cubes حسب Nasr, George E.

    منشور في 2003
    "…The Uniform distribution is used as a basis for comparison. Results show that when the cube is sparse there is a correlation between the data distribution and the running time of the algorithm. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    conferenceObject
  7. 147
  8. 148
  9. 149

    Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

    منشور في 2023
    "…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"
  10. 150
  11. 151

    The use of multi-task learning in cybersecurity applications: a systematic literature review حسب Shimaa Ibrahim (22155739)

    منشور في 2024
    "…Five critical applications, such as network intrusion detection and malware detection, were identified, and several tasks used in these applications were observed. Most of the studies used supervised learning algorithms, and there were very limited studies that focused on other types of machine learning. …"
  12. 152
  13. 153

    Correlation Clustering with Overlaps حسب Fakhereldine, Amin

    منشور في 2020
    "…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    masterThesis
  14. 154

    A Novel Big Data Classification Technique for Healthcare Application Using Support Vector Machine, Random Forest and J48 حسب Al-Manaseer, Hitham

    منشور في 2022
    "…The performance of the algorithms for accuracy was evaluated using the Healthcare (heart attack possibility) dataset, freely available on kagle. …"
    احصل على النص الكامل
  15. 155

    Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT حسب Arumugam K (18456690)

    منشور في 2021
    "…This paper proposes an Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT. …"
  16. 156
  17. 157

    QU-GM: An IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning حسب Md Nazmul Islam Shuzan (21842426)

    منشور في 2024
    "…The wristband is connected to an Android mobile application to collect real-time data and update the estimated glucose and diabetic severity every 10-seconds, which will allow the users to gain better control of their diabetic health.…"
  18. 158

    Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents حسب Muhammad E. H. Chowdhury (14150526)

    منشور في 2019
    "…It was observed that the linear classification algorithm was not able to detect heart attack in noisy data, whereas the support vector machine (SVM) algorithm with polynomial kernel with extended time–frequency features using extended modified B-distribution (EMBD) showed highest accuracy and was able to detect 97.4% and 96.3% of ST-elevation myocardial infarction (STEMI) and non-ST-elevation MI (NSTEMI), respectively. …"
  19. 159

    A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems حسب Faria Nawshin (21841598)

    منشور في 2025
    "…<p dir="ltr">Federated Learning (FL) is gaining traction in Android-based consumer electronics, enabling collaborative model training across decentralized devices while preserving data privacy. However, the increasing adoption of FL in these devices exposes them to adversarial attacks that can compromise user data and device security. …"
  20. 160