Showing 101 - 120 results of 217 for search '(( element network algorithm ) OR ((( data code algorithm ) OR ( based making algorithm ))))', query time: 0.12s Refine Results
  1. 101

    The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions by Abdulmalik Alwarafy (17984104)

    Published 2022
    “…To this end, we carefully identify the types of DRL algorithms utilized in each related work, the elements of these algorithms, and the main findings of each related work. …”
  2. 102

    Wavelet Analysis- Singular Value Decomposition Based Method for Precise Fault Localization in Power Distribution Networks Using k-NN Classifier by Abhishek Raj (7245425)

    Published 2025
    “…Additionally, the computational efficiency of the algorithm is evidenced by an average processing time of 0.0764 seconds per fault event, making it well-suited for real-time applications.…”
  3. 103
  4. 104

    A machine learning model for early detection of diabetic foot using thermogram images by Amith Khandakar (14151981)

    Published 2021
    “…However, the distribution of plantar temperature may be heterogeneous, making it difficult to quantify and utilize to predict outcomes. …”
  5. 105

    Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives by Billel Essaid (22047578)

    Published 2024
    “…The process involves receiving the speech signal in analog form, followed by various signal processing algorithms to make it compatible with devices of limited capacities, such as cochlear implants (CIs). …”
  6. 106

    Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches by Natasha Akram (20749538)

    Published 2024
    “…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …”
  7. 107

    Impact Of Multidisciplinary Maternal Resuscitation Training Program on Improving the Front-Line Care Provider’s Readiness to Manage Maternal Cardiac Arrest: A Pre-test/Post-test St... by Mohamed Elsayed Saad Aboudonya (18466385)

    Published 2024
    “…The multidisciplinary resuscitation teams were observed during the cardiac arrest mock drills both before and after conducting the multidisciplinary resuscitation simulation-based training program and the introduction of the maternal resuscitation algorithm pathway against seven KPIs. Those KPIs were Time to Confirm Cardiac Arrest; Code Blue and /or Code White Activation Time; Time to attempt first chest compression; Defibrillator Arrival Time; Time to First Defibrillation shock; Code blue/code white arrival time and Time to perform Perimortem Caesarean Delivery.…”
  8. 108
  9. 109

    Computation of conformal invariants by Mohamed M.S., Nasser

    Published 2020
    “…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …”
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  10. 110
  11. 111

    Computation of conformal invariants by Mohamed M.S. Nasser (16931772)

    Published 2021
    “…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …”
  12. 112

    Analysis of Using Machine Learning to Enhance the Efficiency of Facilities Management in the UAE by ULLAH, SAAD

    Published 2022
    “…This study addresses these issues by Implementing Machine Learning (ML) algorithms using data from Building Management Systems (BMS) and FM maintenance reports, focussing on predictive maintenance for Fresh Air Handling Units. …”
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  13. 113

    Developing an online hate classifier for multiple social media platforms by Joni Salminen (7434770)

    Published 2020
    “…However, at the same time, this has resulted in the emergence of conflict and hate, making online environments uninviting for users. Although researchers have found that hate is a problem across multiple platforms, there is a lack of models for online hate detection using multi-platform data. …”
  14. 114

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

    Published 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. …”
  15. 115

    Downlink channel estimation for IMT-DS by Faisal, S.

    Published 2001
    “…IMT-DS system is an approved terrestrial radio interface standard for 3G mobile communication based on direct sequence code division multiple access (DS-CDMA). It employs a RAKE receiver to exploit multipath diversity. …”
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  16. 116
  17. 117

    Definition and selection of fuzzy sets in genetic‐fuzzy systems using the concept of fuzzimetric arcs by Kouatli, Issam

    Published 2008
    “…Purpose – This paper seeks to identify and propose a standard approach for the selection and optimization of fuzzy sets used in fuzzy decision‐making systems. Design/methodology/approach – The design was based on two principles: selection and optimization. …”
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  18. 118

    Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure by Kouatli, Issam

    Published 2014
    “…GFT (Genetic Fuzzimetric Technique) is of no exception which merges Fuzzy logic with genetic algorithm to achieve the optimization of the decision making process under uncertainty. …”
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  19. 119

    Pre-production movie rating prediction using machine learning. (c2017) by Gerges, Firas Abdallah

    Published 2017
    “…In this work, we present several machine learning techniques (Support Vectors Machine, K-Nearest Neighbors, C5, Neural Networks and Case-Based Reasoning) along with a genetic algorithm to predict the success of a movie before its production using the IMDB rating as an indicator of the success. …”
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  20. 120

    Dynamic multiple node failure recovery in distributed storage systems by Itani, May

    Published 2018
    “…In this work, we address the problem of multiple failure recovery with dynamic scenarios using the fractional repetition code as a redundancy scheme. The fractional repetition (FR) code is a class of regenerating codes that concatenates a maximum distance separable code (MDS) with an inner fractional repetition code where data is split into several blocks then replicated and multiple replicas of each block are stored on various system nodes. …”
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