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Showing 601 - 620 results of 718 for search '(((( data using algorithm ) OR ( data processing algorithm ))) OR ( element data algorithm ))', query time: 0.11s Refine Results
  1. 601
    Accelerating Blockchain Transaction Verification With Parallel Computing

    Accelerating Blockchain Transaction Verification With Parallel Computing by Zhou, Huangjin

    Published 2024
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  2. 602
    Design and Analysis of Secure Digital Twin Architecture

    Design and Analysis of Secure Digital Twin Architecture by Shaikh, Eman

    Published 2022
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  3. 603
    Video Streaming over Cognitive Radio Networks

    Video Streaming over Cognitive Radio Networks by Helmy, Maram Wahed R.

    Published 2020
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  4. 604
    Dynamic adaptation for video streaming over mobile devices. (c2013)

    Dynamic adaptation for video streaming over mobile devices. (c2013) by Jalloul, Rayan A.

    Published 2013
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  5. 605
    A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem

    A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem by Abu Zitar, Raed

    Published 2021
    “…To evaluate the modified CHIO, twosets of data sets are used: the first data set has ten Synthetic CVRP models while the second is an ABEFMPdata set which has 27 instances with different models. …”
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  6. 606
    Corrosion Monitoring Technologies for Reinforced Concrete Structures: A Review

    Corrosion Monitoring Technologies for Reinforced Concrete Structures: A Review by SHEHADEH, KHADIJA

    Published 2023
    “…New technology, algorithms, data processing, and AI are new approaches to improving corrosion monitoring processes. …”
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  7. 607
    Decision-level fusion for single-view gait recognition with various carrying and clothing conditions

    Decision-level fusion for single-view gait recognition with various carrying and clothing conditions by Al-Tayyan, Amer

    Published 2017
    “…Such a system is needed in access control applications whereby a single view is imposed by the system setup. The gait data is firstly processed using three gait representation methods as the features sources; Accumulated Prediction Image (API) and two new gait representations namely; Accumulated Flow Image (AFI) and Edge-Masked Active Energy Image (EMAEI). …”
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  8. 608
    An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network

    An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network by Sorkhoh, Ibrahim

    Published 2020
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  9. 609
    A new approach and faster exact methods for the maximum common subgraph problem

    A new approach and faster exact methods for the maximum common subgraph problem by Abu-Khzam, Faisal N.

    Published 2017
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  10. 610
    Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers

    Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers by Ali Sharida (17947847)

    Published 2023
    “…To develop the DT, a dense deep neural network (DNN) machine learning approach is used. The DT is trained offline using a set of experimental data and updated online to get the maximum possible accuracy. …”
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  11. 611
    Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast during ramadan (The PROFAST – IT Ramadan study)

    Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d... by Tarik Elhadd (5480393)

    Published 2020
    “…<h3>Objective</h3><p dir="ltr">To develop a machine-based algorithm from clinical and demographic data, physical activity and glucose variability to predict hyperglycaemic and hypoglycaemic excursions in patients with type 2 diabetes on multiple glucose lowering therapies who fast during Ramadan.…”
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  12. 612
    Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks

    Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks by Muhammed Al-Ali (16810677)

    Published 2023
    “…An optimal resource allocation scheme is proposed with two scenarios including a guaranteed fairness level and minimum data rate among eMBB users. In addition, a knapsack-inspired punctured resource allocation algorithm is proposed where the users’ channel qualities of both services are considered at each time slot leading to the most suitable Resource Block (RB) selection for puncturing in a way that minimizes the negative impact on eMBB performance. …”
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  13. 613
    Structural alignment. (c2006)

    Structural alignment. (c2006) by Kazma, Layal

    Published 2006
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  14. 614
    Towards Multimedia Fragmentation

    Towards Multimedia Fragmentation by Saad, Samir

    Published 2006
    “…Database fragmentation is a process for reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. …”
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  15. 615
    Development of a deep learning-based group contribution framework for targeted design of ionic liquids

    Development of a deep learning-based group contribution framework for targeted design of ionic liquids by Sadah Mohammed (18192859)

    Published 2024
    “…This computational framework can expedite and improve the process of finding desirable molecular structures of IL via accurate property predictions in a data-driven manner. …”
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  16. 616
    Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Blends

    Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Blends by Abdellatif M. Sadeq (16931841)

    Published 2024
    “…In addition, the possible minimum and maximum values of responses at the corresponding operating parameters are found using a genetic algorithm (GA) approach. Model 1 could capture the computational fluid dynamics (CFD) outputs with high precision at different flame radiuses and time instants with a maximum absolute error percentage of 5.46%. …”
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  17. 617
    Test time minimization for system-on-chip with test bus assignment and sizin

    Test time minimization for system-on-chip with test bus assignment and sizin by Harmanani, Haidar M.

    Published 2017
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  18. 618
    FoGMatch

    FoGMatch by Arisdakessian, Sarhad

    Published 2019
    “…This results in an unfair situation wherein the needs of one of the parties are ignored in the scheduling process. To address this problem, we propose in this paper a multi-criteria intelligent IoT scheduling approach in fog computing environments using matching game theory. …”
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  19. 619
    An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation

    An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation by Abdul Rahman, Sawsan

    Published 2019
    “…However, the current solutions proposed for the use of crowdsensing for the collection of traffic related data adopt an opportunistic continuous sensing approach, which entails high resource consumption on the server and mobile device side, a high communication overhead, while offering little control of the users over the sensing activity. …”
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  20. 620
    Active distribution network type identification method of high proportion new energy power system based on source-load matching

    Active distribution network type identification method of high proportion new energy power system based on source-load matching by Qinlin, Shi

    Published 2023
    “…Firstly, the typical daily output scenarios of DG are extracted by clustering method, and the generalized load curve model is solved by the optimization algorithm to obtain the source load operation data; Secondly, calculate the source-load matching indicators (including matching performance, matching degree, and matching rate) according to the source load data of each region, and identify the distribution network type according to the range of the index values; Finally, several indicators are introduced to quantify the characteristics of different types of distribution networks. …”
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