يعرض 61 - 80 نتائج من 92 نتيجة بحث عن '(((( data encoding algorithm ) OR ( data mining algorithm ))) OR ( elements mean algorithm ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 61
  2. 62

    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
  3. 63

    A smart decentralized identifiable distributed ledger technology‐based blockchain (DIDLT‐BC) model for cloud‐IoT security حسب Shitharth Selvarajan (14157976)

    منشور في 2024
    "…The novel contribution of this work is to incorporate the operations of Rabin digital data signature generation, DIDLT‐based blockchain construction, and BCA algorithms for ensuring overall data security in IoT networks. …"
  4. 64

    Video features with impact on user quality of experience حسب Abbas, Nadine

    منشور في 2021
    "…We conduct experimental measurements and record videos with different frame rate, video resolution, transmission data rate, packet loss, delay and codec types. After collecting the QoE assessments, the supervised training data set is developed and imported into Rapid-Miner data mining tool. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    conferenceObject
  5. 65
  6. 66

    A Biologicaly Inspired Decision Model for Multivariable Genetic- Fuzzy-AHP System حسب Kouatli, Issam

    منشور في 2016
    "…One example would be the determination of CRM performance measurement given a variety of inputs related to marketing, data mining tools, ordered materials and communication.…"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  7. 67

    RFID localization using single reader antenna. (c2014) حسب Msheik, Hamze

    منشور في 2016
    "…In this work we will justify the proposed Localization scheme analytically and provide numerical and experimental data to substantiate our methodology.…"
    احصل على النص الكامل
    احصل على النص الكامل
    masterThesis
  8. 68

    Dataset built for Arabic Sentiment Analysis حسب AL MUKHAITI, AYESHA JUMAA SALEM

    منشور في 2016
    "…Key stages of the framework takes three dimensions. We followed an Algorithm which involves Data Acquisition stage, Filtering Stage and Annotation Stage. …"
    احصل على النص الكامل
  9. 69

    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

    منشور في 2019
    "…Despite having different performance results on predicting failures, most of the models produced close outcomes. Meaning no “perfect” machine learning algorithm that will produce good results at particular problem, in fact for each type of problem a specific algorithm is suited and might achieves good outcome, while another algorithm fails heavily. …"
    احصل على النص الكامل
  10. 70

    Efficient Seismic Volume Compression using the Lifting Scheme حسب Khene, M. F.

    منشور في 2000
    "…In addition, the lifting scheme offers: 1) a dramatic reduction of the required auxiliary memory, 2) an efficient combination with parallel rendering algorithms to perform arbitrary surface and volume rendering for interactive visualization, and 3) an easy integration in the parallel I/O seismic data loading routines. …"
    احصل على النص الكامل
    article
  11. 71

    Performance Prediction Using Classification حسب MOOLIYIL, GITA

    منشور في 2019
    "…The use of classification as a data mining approach for performance prediction has been studied by many eminent researchers. …"
    احصل على النص الكامل
  12. 72

    An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection حسب Abu Zitar, Raed

    منشور في 2022
    "…In this paper, an enhanced binary version of the Rat Swarm Optimizer (RSO) is proposed to deal with Feature Selection (FS) problems. FS is an important data reduction step in data mining which finds the most representative features from the entire data. …"
  13. 73

    Structural similarity evaluation between XML documents and DTDs حسب Tekli, J.

    منشور في 2007
    "…We consider the various DTD operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes. Our approach is based on the concept of tree edit distance, as an effective and efficient means for comparing tree structures, XML documents and DTDs being modeled as ordered labeled trees. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    conferenceObject
  14. 74
  15. 75

    A Geometric-Primitives-Based Compression Scheme for Testing Systems-on-a-Chip حسب El-Maleh, Aiman H.

    منشور في 2001
    "…In this paper, it is assumed that an embedded core will be used to execute the decompression algorithm and decompress the test data.…"
    احصل على النص الكامل
    article
  16. 76

    A geometric-primitives-based compression scheme for testingsystems-on-a-chip حسب El-Maleh, A.

    منشور في 2001
    "…In this paper, it is assumed that an embedded core will be used to execute the decompression algorithm and decompress the test data…"
    احصل على النص الكامل
    احصل على النص الكامل
    article
  17. 77
  18. 78

    STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization حسب Muhammad Salman Khan (7202543)

    منشور في 2025
    "…For stationary sources, the proposed system gives satisfactory performance in terms of quality, intelligibility, and separation speed, and generalizes well with the test data from a mismatched speech corpus. Its perceptual evaluation of speech quality (PESQ) score is 0.55 points better than a self-supervised learning (SSL) model and almost equivalent to the diffusion models at computational cost and training data which is many folds lesser than required by these algorithms. …"
  19. 79

    LDSVM: Leukemia Cancer Classification Using Machine Learning حسب Abdul Karim (417009)

    منشور في 2022
    "…Currently, it is difficult to classify cancers using microarray data. Nearly many data mining techniques have failed because of the small sample size, which has become more critical for organizations. …"
  20. 80