Search alternatives:
modeling algorithm » scheduling algorithm (Expand Search)
learning algorithm » learning algorithms (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data modeling » data models (Expand Search), spatial modeling (Expand Search)
Showing 301 - 320 results of 720 for search '(((( data using algorithm ) OR ( data modeling algorithm ))) OR ( elementary learning algorithm ))', query time: 0.14s Refine Results
  1. 301
    Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018)

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

    Published 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. …”
    Get full text
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  2. 302
    LaScaDa: A Novel Scalable Topology for Data Center Network

    LaScaDa: A Novel Scalable Topology for Data Center Network by Zina Chkirbene (16869987)

    Published 2020
    “…LaScaDa forwards packets between nodes using a new hierarchical row-based routing algorithm. …”
    Save to List
    Saved in:
  3. 303
    Heat rate curve approximation for power plants without data measuring devices

    Heat rate curve approximation for power plants without data measuring devices by Poullikkas, Andreas

    Published 2012
    “…The method is applied on a given power system, in which we calculate the electricity cost using the CAPSE (computer aided power economics) algorithm. …”
    Get full text
    article
    Save to List
    Saved in:
  4. 304
    UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices

    UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices by Samir, Moataz

    Published 2019
    “…The global evolution of wireless technologies and intelligent sensing devices are transforming the realization of smart cities. Among the myriad of use cases, there is a need to support applications whereby low-resource Internet of Things (IoT) devices need to upload their sensor data to a remote control centre by target hard deadlines; otherwise, the data becomes outdated and loses its value, for example, in emergency or industrial control scenarios. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  5. 305
    RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems.

    RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems. by Sebastian Kruse (18595195)

    Published 2020
    “…Our main contributions are: (i) a mechanism based on graph transformations to explore alternative execution strategies; (ii) a novel graph-based approach to determine efficient data movement plans among subtasks and platforms; and (iii) an efficient plan enumeration algorithm, based on a novel enumeration algebra. …”
    Save to List
    Saved in:
  6. 306
    Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection

    Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection by HAMDALLAH, KHALID WAJIH TURKI

    Published 2011
    “…In order to analyze the performance of machine learning algorithms, data was provided by a bank to be used for educational purposes and shall remain undisclosed. …”
    Get full text
    Save to List
    Saved in:
  7. 307
    NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY

    NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY by JINESH, PADIKKAPPARAMBIL

    Published 2022
    “…Various sensors and equipment are installed in the AAL context to collect a wide variety of data. Furthermore, AAL could be the motivating technique for the most recent care models by working as an adjunct. …”
    Get full text
    Save to List
    Saved in:
  8. 308
    Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma

    Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma by Rawan AlSaad (14159019)

    Published 2019
    “…<h3>Background</h3><p dir="ltr">Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. …”
    Save to List
    Saved in:
  9. 309
    Trajectory Planning and Resource Allocation of Multiple UAVs for Data Delivery in Vehicular Networks

    Trajectory Planning and Resource Allocation of Multiple UAVs for Data Delivery in Vehicular Networks by Samir, Moataz

    Published 2019
    Get full text
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  10. 310
    XBeGene: Scalable XML Documents Generator by Example Based on Real Data

    XBeGene: Scalable XML Documents Generator by Example Based on Real Data by Harazaki, Manami

    Published 2012
    “…XML datasets of various sizes and properties are needed to evaluate the correctness and efficiency of XML-based algorithms and applications. While several downloadable datasets can be found online, these are predefined by system experts and might not be suitable to evaluate every algorithm. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
    Save to List
    Saved in:
  11. 311
    UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks

    UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks by Ebrahimi, Dariush

    Published 2018
    “…Among the emerging markets, Internet of Things (IoT) use cases are standing out with the proliferation of a wide range of sensors that can be configured to continuously monitor and transmit data for intelligent processing and decision making. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  12. 312
    BioNetApp: An interactive visual data analysis platform for molecular expressions

    BioNetApp: An interactive visual data analysis platform for molecular expressions by Ali M. Roumani (18615124)

    Published 2019
    “…BioNetApp also provides data clustering based on molecular concentrations using Self Organizing Maps (SOM), K-Means, K-Medoids, and Farthest First algorithms.…”
    Save to List
    Saved in:
  13. 313
    Automatic keyword extraction from a real estate classifieds data set

    Automatic keyword extraction from a real estate classifieds data set by Devassy, Dibin

    Published 2011
    “…We begin with designing data cleansing algorithms to verify different attributes of the real estate classified. …”
    Get full text
    Save to List
    Saved in:
  14. 314
    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model

    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model by Ramesh Sundar (19326046)

    Published 2024
    “…The proposed approach of DDN is trained with proper data sequences used for communication and the training phase is conducted with the norms of numerous channel variants. …”
    Save to List
    Saved in:
  15. 315
    ADD. (c2002)

    ADD. (c2002) by Varjabedian, Ralph A.

    Published 2002
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  16. 316
    A Highly Efficient And Automated Approach To Identifying And Classifying Urban Traffic Images Using Self Organizing Maps and Artificial Intelligence. (c2006)

    A Highly Efficient And Automated Approach To Identifying And Classifying Urban Traffic Images Using Self Organizing Maps and Artificial Intelligence. (c2006) by Bey, Hisham Mardam

    Published 2006
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  17. 317
    Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks

    Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks by Yaacoub, Elias

    Published 2013
    “…In the proposed approach, mobiles are grouped into collaborative clusters using a low-complexity clustering algorithm. In each cluster, collaboration is implemented by having a cluster head send the content to other cluster members using a short-range wireless communications technology. …”
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  18. 318
    Adaptive Time-Varying Brain Source Localization

    Adaptive Time-Varying Brain Source Localization by Al-Momani, Sajedah A.

    Published 2019
    Get full text
    doctoralThesis
    Save to List
    Saved in:
  19. 319
    Performance evaluation of load balancing algorithms for parallel single-phase iterative PDE solvers

    Performance evaluation of load balancing algorithms for parallel single-phase iterative PDE solvers by Mansour, N.

    Published 1994
    “…We review and evaluate the performances of six data mapping algorithms used for parallel single-phase iterative PDE solvers with irregular 2-dimensional meshes on multicomputers. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
    Save to List
    Saved in:
  20. 320
    K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation

    K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation by Ashhadul Islam (16869981)

    Published 2022
    “…This paper introduces K Nearest Neighbor OveRsampling (KNNOR) Algorithm — a novel data augmentation technique that considers the distribution of data and takes into account the k nearest neighbors while generating artificial data points. …”
    Save to List
    Saved in:

Search Tools: