بدائل البحث:
encoding algorithm » cosine algorithm (توسيع البحث)
data detection » data injection (توسيع البحث)
element » elements (توسيع البحث)
يعرض 121 - 140 نتائج من 196 نتيجة بحث عن '(((( data detection algorithm ) OR ( data encoding algorithm ))) OR ( element network algorithm ))', وقت الاستعلام: 0.10s تنقيح النتائج
  1. 121
  2. 122

    Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) حسب Tay, Bilal M.

    منشور في 2018
    "…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    masterThesis
  3. 123

    Automatic and Intelligent Stressor Identification Based on Photoplethysmography Analysis حسب Sami Elzeiny (16891521)

    منشور في 2021
    "…In particular, this study proposes a novel algorithm that first detects instances of stress and then classifies the stressor type using photoplethysmography (PPG) data from wearable smartwatches. …"
  4. 124

    Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects حسب Majdi Mansouri (16869885)

    منشور في 2021
    "…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …"
  5. 125

    Various Faults Classification of Industrial Application of Induction Motors Using Supervised Machine Learning: A Comprehensive Review حسب Rehaan Hussain (22302742)

    منشور في 2025
    "…Machine learning algorithms are a set of data-driven rules that are able to classify specific faults in induction motors, which will be explained further in this review paper. …"
  6. 126
  7. 127

    The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review حسب Zainab Jan (17306614)

    منشور في 2021
    "…</p><h3>Objective</h3><p dir="ltr">This review aims to explore the machine learning algorithms used for the detection and diagnosis of bipolar disorder and its subtypes.…"
  8. 128

    Competitive learning/reflected residual vector quantization for coding angiogram images حسب Mourn, W.A.H.

    منشور في 2003
    "…Medical images need to be compressed for the purpose of storage/transmission of a large volume of medical data. Reflected residual vector quantization (RRVQ) has emerged recently as one of the computationally cheap compression algorithms. …"
    احصل على النص الكامل
    احصل على النص الكامل
    article
  9. 129

    Benchmarking Concept Drift Detectors for Online Machine Learning حسب Mahgoub, Mahmoud

    منشور في 2022
    "…The main task is to detect changes in data distribution that might cause changes in the decision bound aries for a classification algorithm. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
  10. 130

    Optimizing ADWIN for Steady Streams حسب Moharram, Hassan

    منشور في 2022
    "…Over time, several drift detection approaches have been proposed. A prominent approach is adaptive windowing (ADWIN) which can detect changes in features data distribution without explicit feedback on the correctness of the prediction. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
  11. 131
  12. 132

    Design and analysis of entropy-constrained reflected residual vector quantization حسب Mousa, W.A.H.

    منشور في 2002
    "…Residual vector quantization (RVQ) is a vector quantization (VQ) paradigm which imposes structural constraints on the encoder in order to reduce the encoding search burden and memory storage requirements of an unconstrained VQ. …"
    احصل على النص الكامل
    احصل على النص الكامل
    article
  13. 133
  14. 134

    Information warfare حسب Haraty, Ramzi A.

    منشور في 2017
    "…While preventive measures could be overcome and detection measures could detect an attack late after damage has occurred, there is a need for a recovery algorithm that will recover the database to its correct previous state before the attack. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  15. 135

    Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura, Habiba

    منشور في 2023
    "…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  16. 136
  17. 137

    Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura Habiba (17808302)

    منشور في 2023
    "…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …"
  18. 138
  19. 139

    HARDWARE DESIGN AND VLSI IMPLEMENTATION OF A BYTE-WISE CRC GENERATOR CHIP حسب Sait, Sadiq M.

    منشور في 2020
    "…These include areas such as error detection and correction in data comunication, signature analysis and mass storage devices for parallel information transfers.…"
    احصل على النص الكامل
    article
  20. 140

    CEAP حسب Abdel Wahab, Omar

    منشور في 2016
    "…We propose as well a propagation algorithm that disseminates only the final decisions (instead of the whole dataset) among clusters with the aim of reducing the overhead of either exchanging results between each set of vehicles or repeating the detection steps for the already detected malicious vehicles. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article