يعرض 21 - 40 نتائج من 264 نتيجة بحث عن '(( relevant data algorithm ) OR ((( elements network algorithm ) OR ( level using algorithm ))))', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 21

    Land Use/Land Cover Changes Impact on Groundwater Level and Quality in the Northern Part of the United Arab Emirates حسب Elmahdy, Samy

    منشور في 2020
    "…This study aims to develop an integrated approach for mapping and monitoring land use/land cover (LULC) changes and to investigate the impacts of LULC changes and population growth on groundwater level and quality using Landsat images and hydrological information in a Geographic information system (GIS) environment. …"
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    article
  2. 22

    Auto-indexing Arabic texts based on association rule data mining. (c2015) حسب Rouba G. Nasrallah

    منشور في 2015
    "…Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. …"
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    masterThesis
  3. 23

    Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic حسب AL MANSOORI, MOUZA

    منشور في 2021
    "…The study explores sentiment analysis using different machine learning algorithms on dialectal Arabic text dataset. …"
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  4. 24

    Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

    منشور في 2022
    "…According to the findings of several studies, the framework is significantly more effective than conventional methods in maintaining high levels of privacy. In addition, the framework outperforms conventional detection algorithms in words of detection rate, the rate of the false positive, and calculation time, respectively.…"
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  5. 25

    Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms حسب Arafat Rahman (8065562)

    منشور في 2021
    "…A machine learning classification pipeline is developed using multi-domain feature extraction (time, frequency, time-frequency), feature selection (Gini impurity), classifier design, and score level fusion. …"
  6. 26

    An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm حسب Ghulam Jillani Ansari (16896342)

    منشور في 2021
    "…Second, a feature level fusion approach is used to combine the features. …"
  7. 27

    Activity-level space scheduling حسب Zouein, Pierrette P.

    منشور في 1992
    "…Its output layouts can be used to refine individual robot's trajectories using traditional path-planning algorithms.…"
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    conferenceObject
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    Portfolio Selection Problem Using CVaR Risk Measures Equipped with DEA, PSO, and ICA Algorithms حسب Abdelouahed Hamdi (14158899)

    منشور في 2022
    "…This was displayed the return of the portfolio produced using the DEA-Mean-CVaR model increased because the investment proposal was basedon the stock with the highest expected return and was effective at three risk levels. …"
  10. 30

    Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study حسب Mutasim Baba, Fuad

    منشور في 2022
    "…Maximum Absolute Difference (MAD), a new metric, that calculates the maximum absolute difference between simulated and measured hourly indoor temperatures, Root Mean Square Error (RMSE), Normalized Mean Bias Error (NMBE) were used as the evaluation criteria. Another new metric is introduced, 1 ◦C Percentage Error criterion that calculates the percentage of the number of hours with an error over 1 ◦C during the cali bration period, to select the best solutions from the Pareto Front solutions. 0.5 ◦C Percentage Error criterion is also used for the level of accuracy the model can achieve. …"
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    Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data حسب Arfan Ahmed (17541309)

    منشور في 2023
    "…One of the key aspects of WDs with machine learning (ML) algorithms is to find specific data signatures, called Digital biomarkers, that can be used in classification or gaging the extent of the underlying condition. …"
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    Optimum Partition of Power Networks Using Singular Value Decomposition and Affinity Propagation حسب Maymouna Ez Eddin (21633650)

    منشور في 2024
    "…The adopted methodology aims to enhance partitioning efficiency substantially while preserving a high level of partitioning quality. The proposed framework is verified on IEEE 14, 39, 118, and 2000-bus systems and compared to nine other well-known and widely used clustering techniques, including K-Means and Gaussian Mixture models. …"
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    Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach حسب Arshad Ali Khan (23152516)

    منشور في 2025
    "…This paper proposes a new approach using convolutional neural networks with genetic algorithms for estimating air quality directly from images. …"
  18. 38

    Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification حسب Rajendra Babu Chikkala (22330876)

    منشور في 2025
    "…In this study, we introduce an innovative method for the multi-classification of breast cancer histopathological images utilizing Bidirectional Recurrent Neural Networks (BRNN). The BRNN structure consists of four unique elements: the backbone branch for transfer learning, the Gated Recurrent Unit (GRU), the residual collaborative branch, and the feature fusion module. …"
  19. 39

    Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review حسب Zainab Jan (17306614)

    منشور في 2023
    "…A higher level of accuracy (99%) was found in studies that used support vector machine, decision trees, and k-means clustering algorithms. …"
  20. 40

    Predicting Plasma Vitamin C Using Machine Learning حسب Daniel Kirk (17302798)

    منشور في 2022
    "…<p dir="ltr">Precision Nutrition makes use of personal information about individuals to produce nutritional recommendations that have more utility than general population level recommendations. …"