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Showing 281 - 300 results of 693 for search '(((( develop would algorithm ) OR ( movement data algorithm ))) OR ( data using algorithm ))', query time: 0.11s Refine Results
  1. 281
    Large language models for code completion: A systematic literature review

    Large language models for code completion: A systematic literature review by Rasha Ahmad Husein (19744756)

    Published 2024
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  2. 282
    Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE

    Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE by Mathew, Elezabeth

    Published 2020
    “…Various descriptive, diagnostic, predictive, and prescriptive analysis is done on the e-procurement data. The deep learning model developed can perform thousands of routine and, repetitive tasks within a fairly short period compared to what it would take for a human being without any compromise on the quality of work. …”
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  3. 283
    Digital Image Watermarking Using Balanced Multiwavelets

    Digital Image Watermarking Using Balanced Multiwavelets by Ghouti, L.

    Published 2006
    “…In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. …”
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  4. 284
    Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System

    Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System by Abu Zitar, Raed

    Published 2021
    “…We research and test the design of the right neural networks that achieves our goal. A modern algorithm was improvised for this reason. For our proposed recommendation system, a database program was created to store data and include details in the analysis of course learning outcomes. …”
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  5. 285
    Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity

    Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity by Maryam Shahriari-kahkeshi (17269051)

    Published 2021
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  6. 286
    From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors

    From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors by Michael R. Giordano (9976173)

    Published 2021
    “…Unfortunately, low-cost PM sensors also come with a number of challenges that must be addressed if their data products are to be used for anything more than a qualitative characterization of air quality. …”
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  7. 287
    Using machine learning for disease detection. (c2013)

    Using machine learning for disease detection. (c2013) by Jreij, Georges Antoun

    Published 2016
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  8. 288
    Practical Multiple Node Failure Recovery in Distributed Storage Systems

    Practical Multiple Node Failure Recovery in Distributed Storage Systems by Itani, M.

    Published 2016
    “…The problem is solved using genetic algorithms that search within the feasible solution space. …”
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  9. 289
    Cutting‐edge technologies for detecting and controlling fish diseases: Current status, outlook, and challenges

    Cutting‐edge technologies for detecting and controlling fish diseases: Current status, outlook, and challenges by Sk Injamamul Islam (14111241)

    Published 2024
    “…Here, we highlighted the potential of machine learning algorithms in early pathogen detection and the possibilities of intelligent aquaculture in controlling disease outbreaks at the farm level. …”
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  10. 290
    Tracking and repairing damaged healthcare databases using the matrix

    Tracking and repairing damaged healthcare databases using the matrix by Haraty, Ramzi A.

    Published 2015
    “…The algorithm is based on data dependency and uses a single matrix. …”
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  11. 291
    Energy-aware adaptive compression for mobile devices. (c2009)

    Energy-aware adaptive compression for mobile devices. (c2009) by Maddah, Rakan

    Published 2009
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  12. 292
    Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations

    Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations by Shameem A. Puthiya Parambath (14150997)

    Published 2022
    “…The best available recommendation algorithms are based on using the observed preference information among collaborating entities. …”
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  13. 293
    Synthesis with VHDL. (c2001)

    Synthesis with VHDL. (c2001) by Halawi, Hatem

    Published 2001
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  14. 294
    Diagnosing failed distribution transformers using neural networks

    Diagnosing failed distribution transformers using neural networks by Farag, A.S.

    Published 2001
    “…The ANN was trained utilizing backpropagation algorithm using a real (out of the field) data obtained from utilities distribution networks transformer's failures. …”
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  15. 295
    Transmission Line Fault Location Using Unsynchronized Measurements

    Transmission Line Fault Location Using Unsynchronized Measurements by Hussain, Shoaib

    Published 2013
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  16. 296
    Plant disease detection using drones in precision agriculture

    Plant disease detection using drones in precision agriculture by Ruben Chin (17725986)

    Published 2023
    “…Color-infrared (CIR) images are the most preferred data used and field images are the main focus. The machine learning algorithm applied most is convolutional neural network (CNN). …”
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  17. 297
    Building power consumption datasets: Survey, taxonomy and future directions

    Building power consumption datasets: Survey, taxonomy and future directions by Yassine Himeur (14158821)

    Published 2020
    “…Furthermore, data collection platforms and related modules for data transmission, data storage and privacy concerns used in different datasets are also analyzed and compared. …”
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  18. 298
    Estimating Bridge Deterioration Age Using Artificial Neural Networks

    Estimating Bridge Deterioration Age Using Artificial Neural Networks by AL HUSSEIN, ASEEL

    Published 2017
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  19. 299
    Efficient Seismic Volume Compression using the Lifting Scheme

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

    Published 2000
    “…As the approximation coefficients represent a smooth low-resolution version of the input data they are only quantized using a uniform scalar quantizer (USQ). …”
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  20. 300
    DAP: A dataset-agnostic predictor of neural network performance

    DAP: A dataset-agnostic predictor of neural network performance by Sui Paul Ang (18460605)

    Published 2024
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