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Showing 501 - 520 results of 547 for search '(((( data processing algorithm ) OR ( data models algorithm ))) OR ( elements rd algorithm ))', query time: 0.11s Refine Results
  1. 501
    MoveSchedule

    MoveSchedule by Zouein, Pierette

    Published 1995
    “…MoveSchedule is validated using realistic project data and its solution is qualitatively assessed by an experienced engineer on that project.…”
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  2. 502
    Resilience analytics: coverage and robustness in multi-modal transportation networks

    Resilience analytics: coverage and robustness in multi-modal transportation networks by Abdelkader Baggag (14153040)

    Published 2018
    “…<p>A multi-modal transportation system of a city can be modeled as a multiplex network with different layers corresponding to different transportation modes. …”
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  3. 503
    Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment

    Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment by Safak Bayram (16925975)

    Published 2022
    “…More specifically, the location problem is modelled as a maximum coverage location problem (MCLP) and solved using a geographic information system (GIS) based platform. …”
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  4. 504
    ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks

    ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks by Muhammad Asif Khan (7367468)

    Published 2022
    “…In this paper, we propose data-driven machine learning (ML) schemes to efficiently solve these problems in wireless LAN (WLAN) networks. …”
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  5. 505
    PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits

    PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits by Hind Almerekhi (7434776)

    Published 2022
    “…Before finding toxicity triggers, we built and evaluated various machine learning models to detect toxicity from Reddit comments. Subsequently, we used our best-performing model, a fine-tuned Bidirectional Encoder Representations from Transformers (BERT) model that achieved an area under the receiver operating characteristic curve (AUC) score of 0.983 to detect toxicity. …”
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  6. 506
    Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review

    Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review by Yasir Ali (799969)

    Published 2023
    “…In this question, we also determined the various models, frameworks, techniques and algorithms suggested by ANNs for the security advancements of IoT. …”
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  7. 507
    Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling

    Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling by Majed Hadid (17148364)

    Published 2022
    “…A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …”
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  8. 508
    Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images

    Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images by Rehan Raza (17019105)

    Published 2023
    “…The class imbalance issue was handled through multiple data augmentation methods to overcome the biases. …”
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  9. 509
    Impact of birth weight to placental weight ratio and other perinatal risk factors on left ventricular dimensions in newborns: a prospective cohort analysis

    Impact of birth weight to placental weight ratio and other perinatal risk factors on left ventricular dimensions in newborns: a prospective cohort analysis by Ashraf Gad (17040114)

    Published 2024
    “…Chi-squared and one-way analysis of variance were used to compare BW/PW groups and the best regression model was selected using a genetic and backward stepwise algorithm.…”
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  10. 510
    Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging

    Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging by Maricar, Mohammed Farook

    Published 2023
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  11. 511
    Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer

    Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer by Andrea Remo (447375)

    Published 2015
    “…</p><h3>Methods</h3><p dir="ltr">In-silico modeling and Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) on IBC/non-IBC (nIBC) gene expression data (n = 197) was employed to identify novel master regulators connected to the IBC phenotype. …”
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  12. 512
    A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata

    A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata by Siddiqui, Ansah Juned

    Published 2025
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  13. 513
    From Collatz Conjecture to chaos and hash function

    From Collatz Conjecture to chaos and hash function by Masrat Rasool (17807813)

    Published 2023
    “…By incorporating the Collatz process and carefully considering key-controlled variables, the proposed model aims to offer enhanced security properties while meeting the necessary criteria for a reliable and effective hashing mechanism. …”
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  14. 514
    Software-Defined-Networking-Based One-versus-Rest Strategy for Detecting and Mitigating Distributed Denial-of-Service Attacks in Smart Home Internet of Things Devices

    Software-Defined-Networking-Based One-versus-Rest Strategy for Detecting and Mitigating Distributed Denial-of-Service Attacks in Smart Home Internet of Things Devices by Neder Karmous (19743430)

    Published 2024
    “…We conducted a comparative analysis of various models and algorithms used in the related works. The results indicated that our proposed approach outperforms others, showcasing its effectiveness in both detecting and mitigating DDoS attacks within SDNs. …”
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  15. 515
    Nonlinear Friction Identification of A Linear Voice Coil DC Motor

    Nonlinear Friction Identification of A Linear Voice Coil DC Motor by Takrouri, Mohannad Hashem

    Published 2015
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  16. 516
    Adaptive Federated Learning Architecture To Mitigate Non-IID Through Multi-Objective GA-Based Efficient Client Selection

    Adaptive Federated Learning Architecture To Mitigate Non-IID Through Multi-Objective GA-Based Efficient Client Selection by Ajaj, Mohamad

    Published 2024
    “…Existing solutions still have several constraints leading to suboptimal model performance and slow convergence. In this paper, we propose a novel approach that incorporates genetic algorithms with an enhanced client selection strategy, utilizing client metadata rather than raw data. …”
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  17. 517
    AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients

    AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients by Azar, Danielle

    Published 2015
    “…The performance of the three algorithms is evaluated on a data set found in the public UCMI repository.…”
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  18. 518
    Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects

    Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects by ALKAABI, ABDULLA

    Published 2023
    “…The situation may cause concern and trepidation about integrating AI technologies and lack understanding of their optimal deployment and operation. Construction data management and integration are difficult. AI algorithms depend on data for training and analysis. …”
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  19. 519
    Growing hierarchical self-organizing map for filtering intrusion detection alarms

    Growing hierarchical self-organizing map for filtering intrusion detection alarms by Mansour, Nashat

    Published 2008
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  20. 520
    Dynamic single node failure recovery in distributed storage systems

    Dynamic single node failure recovery in distributed storage systems by Itani, M.

    Published 2017
    “…We selected fractional repetition coding due to its simple repair mechanism that minimizes the repair and disk access bandwidths together with the property of un-coded repair process. To minimize the system repair cost, we formulate our problem using incidence matrices and solve it heuristically using genetic algorithms for all possible cases of single node failures. …”
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