Search alternatives:
making algorithm » cosine algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
rd algorithm » _ algorithms (Expand Search)
data making » data mining (Expand Search)
Showing 181 - 192 results of 192 for search '(( data making algorithm ) OR ((( develop rd algorithm ) OR ( elements method algorithm ))))', query time: 0.08s Refine Results
  1. 181

    CubeSat Communication Subsystems: A Review of On-Board Transceiver Architectures, Protocols, and Performance by Amr Zeedan (17983750)

    Published 2023
    “…The reliability, performance, data rate, and power consumption of the reviewed systems are critically compared and evaluated to understand the limitations of existing CubeSat transceivers and identify directions of future developments. …”
  2. 182

    An XML Document Comparison Framework by Tekli, Joe

    Published 2001
    “…As the Web continues to grow and evolve, more and more information is being placed in structurally rich documents, XML documents in particular, so as to improve the efficiency of similarity clustering, information retrieval and data management applications. Various algorithms for comparing hierarchically structured data, e.g., XML documents, have been proposed in the literature. …”
    Get full text
    Get full text
    Get full text
    article
  3. 183

    A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics by Tekli, Joe

    Published 2011
    “…XML similarity evaluation has become a central issue in the database and information communities, its applications ranging over document clustering, version control, data integration and ranked retrieval. Various algorithms for comparing hierarchically structured data, XML documents in particular, have been proposed in the literature. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
  4. 184

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

    Published 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. …”
  5. 185

    Efficient XML Structural Similarity Detection using Sub-tree Commonalities by Tekli, Joe

    Published 2007
    “…Developing efficient techniques for comparing XML-based documents becomes essential in the database and information retrieval communities. Various algorithms for comparing hierarchically structured data, e.g. …”
    Get full text
    Get full text
    conferenceObject
  6. 186

    Scatter search technique for exam timetabling by Mansour, Nashat

    Published 2011
    “…We evaluate our suggested technique on real-world university data and compare our results with the registrar’s manual timetable in addition to the timetables of other heuristic optimization algorithms. …”
    Get full text
    Get full text
    Get full text
    article
  7. 187
  8. 188

    ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks by Muhammad Asif Khan (7367468)

    Published 2022
    “…In this paper, we propose data-driven machine learning (ML) schemes to efficiently solve these problems in wireless LAN (WLAN) networks. …”
  9. 189
  10. 190

    Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study by Muhammad Atif Butt (10849980)

    Published 2023
    “…Since the success of AI is to be measured ultimately in terms of how it benefits human beings, and that the data driving the deep learning-based edge AI algorithms are intricately and intimately tied to humans, it is important to look at these AI technologies through a human-centric lens. …”
  11. 191

    Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases by Muhammad Ali Muzammil (17910611)

    Published 2024
    “…These AI algorithms are effective non-invasive biomarkers for cardiovascular illnesses because they can identify subtle patterns and signals in the ECG that may not be readily apparent to human interpreters. …”
  12. 192