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Showing 221 - 240 results of 410 for search '(( data processing algorithm ) OR ((( develop cost algorithmic ) OR ( elements data algorithm ))))*', query time: 0.11s Refine Results
  1. 221
    Deep and transfer learning for building occupancy detection: A review and comparative analysis

    Deep and transfer learning for building occupancy detection: A review and comparative analysis by Aya Nabil Sayed (17317006)

    Published 2022
    “…This work investigates occupancy detection methods to develop an efficient system for processing sensor data while providing accurate occupancy information. …”
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  2. 222
    Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems

    Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems by Tarek Berghout (16905132)

    Published 2021
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  3. 223
    The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review

    The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review by Zainab Jan (17306614)

    Published 2021
    “…We identified different machine learning models used in the selected studies, including classification models (18, 55%), regression models (5, 16%), model-based clustering methods (2, 6%), natural language processing (1, 3%), clustering algorithms (1, 3%), and deep learning–based models (3, 9%). …”
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  4. 224
    Optimal Sizing and Techno-Economic Analysis of Hybrid Renewable Energy Systems—A Case Study of a Photovoltaic/Wind/Battery/Diesel System in Fanisau, Northern Nigeria

    Optimal Sizing and Techno-Economic Analysis of Hybrid Renewable Energy Systems—A Case Study of a Photovoltaic/Wind/Battery/Diesel System in Fanisau, Northern Nigeria by Nasser Yimen (16697129)

    Published 2020
    “…The resulting optimal design architecture included an 89.271-kW photovoltaic array, a 100.31-W diesel generator, and 148 batteries with a total annualized cost (TAC) and cost of energy (COE) of USD 43,807 and USD 0.25/kWh, respectively. …”
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  5. 225
    An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study

    An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study by Ayman Hassan (14426412)

    Published 2024
    “…We aimed to develop an app using a comprehensive geomapping navigation and estimation system based on machine learning algorithms. …”
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  6. 226
    Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems

    Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems by Khaled Dhibi (16891524)

    Published 2022
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  7. 227
    Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks

    Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks by Mohamed Massaoudi (16888710)

    Published 2024
    “…The proposed algorithm unlocks scalability and system adaptability to operational variability by adopting numeric imputation and missing-data-tolerant techniques. …”
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  8. 228
    Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms

    Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir (19170898)

    Published 2025
    “…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. …”
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  9. 229
    Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter

    Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter by Mena S. ElMenshawy (17983807)

    Published 2023
    “…A few research studies focused on developing data filtering algorithm for the load forecasting process using approaches such as Kalman filter, which has good tracking capability in the presence of noise in the data collection process. …”
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  10. 230
    A survey and comparison of wormhole routing techniques in a meshnetworks

    A survey and comparison of wormhole routing techniques in a meshnetworks by Al-Tawil, K.M.

    Published 1997
    “…They consist of many processing nodes that interact by sending messages (containing both data and synchronization information) over a communication link, between nodes. …”
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  11. 231
    Structural similarity evaluation between XML documents and DTDs

    Structural similarity evaluation between XML documents and DTDs by Tekli, J.

    Published 2007
    “…The automatic processing and management of XML-based data are ever more popular research issues due to the increasing abundant use of XML, especially on the Web. …”
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  12. 232
    Portable Electromagnetic Surface Profiling System

    Portable Electromagnetic Surface Profiling System by Al Homssi, Bassel Mohamad

    Published 2016
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    doctoralThesis
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  13. 233
    DNA Base-Calling Techniques

    DNA Base-Calling Techniques by Odeh, Fadi

    Published 2008
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  14. 234
    PERF solutions for distributed query optimization. (c1999)

    PERF solutions for distributed query optimization. (c1999) by Fany, Roula

    Published 1999
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    masterThesis
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  15. 235
    A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security

    A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security by S. Shitharth (12017480)

    Published 2023
    “…Here, the Quantized Identical Data Imputation (QIDI) mechanism is implemented at first for data preprocessing and normalization. …”
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  16. 236
    An EM-Based Forward-Backward Kalman Filter for the Estimation of Time-Variant Channels in OFDM

    An EM-Based Forward-Backward Kalman Filter for the Estimation of Time-Variant Channels in OFDM by Al-Naffouri, T.Y.

    Published 0000
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  17. 237
    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying

    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying by Tekli, Joe

    Published 2023
    “…The semantically augmented XML data tree is processed for structural node clustering, based on semantic query concepts (i.e., key-concepts), in order to identify and rank candidate answer sub-trees containing related occurrences of query key-concepts. …”
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  18. 238
    A forward-backward Kalman for the estimation of time-variant channels in OFDM

    A forward-backward Kalman for the estimation of time-variant channels in OFDM by Al-Naffouri, T.Y.

    Published 2005
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  19. 239
    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System

    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System by Alkhatib, Osama

    Published 2019
    “…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. …”
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  20. 240
    Competitive learning/reflected residual vector quantization for coding angiogram images

    Competitive learning/reflected residual vector quantization for coding angiogram images by Mourn, W.A.H.

    Published 2003
    “…Medical images need to be compressed for the purpose of storage/transmission of a large volume of medical data. Reflected residual vector quantization (RRVQ) has emerged recently as one of the computationally cheap compression algorithms. …”
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