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  1. 81
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    Evaluation of Performance Metrics Required in Proper Selection of SDN Controller for Integrated Satellite-Terrestrial Networks by Oluwatobi A. Ayofe, Mu'azu J. Musa, Zanna M. Abdullahir, Abdoulie M.S. Tekanyi, Aliyu D. Usman, Ezekiel E. Agbon, Emmanuel A. Otsapa, Agburu O. Adikpe, Matthew Iyobhebhe, Paul Thomas Muge

    Published 2024-09-01
    “…Five SDN controllers were subjected to evaluation and they are Open Network Operating System (ONOS), Opendaylight (ODL), Floodlight (FL), Ryu, and Pox. …”
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    Article
  3. 83

    Providing a Framework for Assessing and Evaluating Network Data Studies in the Fight Against Social Anomalies by Mohammad Khalili, Hamzehali Nourmohammadi, Nader Naghshineh

    Published 2024-09-01
    “…Committing a crime represents one of the most significant social harms, necessitating the involvement of police and judicial institutions for effective management. Assessing, evaluating, and identifying crime patterns, as well as detecting and preventing criminal activities, have been the focal points of judicial and law enforcement agencies since ancient times. …”
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  4. 84

    Bus Network Adjustment Pre-Evaluation Based on Biometric Recognition and Travel Spatio-Temporal Deduction by Qingbo Wei, Nanfeng Zhang, Yuan Gao, Cheng Chen, Li Wang, Jingfeng Yang

    Published 2024-11-01
    “…Traditional simulation methods, however, face limitations in identifying passengers and understanding how their travel patterns may change. To address this issue, a pre-evaluation method has been developed, leveraging the spatial distribution of bus networks and the spatio-temporal behavior of passengers. …”
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    Article
  5. 85

    Machine learning technique for the identification of two-phase (oil-water) flow patterns through pipelines by Daniel Yesid Uribe-Tarazona, Carlos Mauricio Ruiz-Diaz, Octavio Andrés González-Estrada

    Published 2025-07-01
    “…This study develops a robust machine learning model based on artificial neural networks to classify six flow patterns in oil-water two-phase flow within horizontal pipelines, a key aspect for ensuring operational efficiency, integrity, and cost-effective design in the oil and gas industry. …”
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    Physics-Informed Deep Neural Network for Low Sidelobe Time-Modulated Antenna Array Synthesis With Harmonic Suppression by Tarek Sallam, Qun Wang, Ahmed M. Attiya

    Published 2025-01-01
    “…This paper introduces an innovative approach utilizing a deep neural network (DNN) to optimize the modulation scheme for time-modulated antenna array (TMAA) to verify specific side lobe and maximum harmonics levels. …”
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    Comparison of seam network morphology in coal reservoirs under different fracturing scales: A case of Yanchuannan CBM Gas Field by LIU Xiao

    Published 2024-06-01
    “…However, the morphology of the resulting fracture networks varies significantly. Inefficient old wells subjected to multiple medium-scale fracturing develop a “rose-shaped” fracture network with primary and secondary fractures, whereas new wells exhibit a “long elliptical” fracture pattern. …”
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  10. 90

    Dietary patterns derived by Gaussian graphical models and metabolic profiles among overweight and obese individuals by Reyhaneh Mokhtari Hemami, Mohammad Asghari-Jafarabadi, Mahdieh Abbasalizad Farhangi, Maedeh Alipour

    Published 2025-04-01
    “…Identifying dietary networks provides valuable insights into the complex interactions between food groups within typical dietary patterns. …”
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    Article
  11. 91

    A quality-of-service evaluation method based on the cloud model for routing protocols in wireless sensor network by Wenxian Jiang, Chenzhe Gu, Jingjing Wu

    Published 2017-09-01
    “…Concepts belonging to different indices can be combined together to evaluate the quality of service. We use a frequent-pattern tree approach to mine association rules of quality-of-service concepts and arrive at a suitable decision. …”
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    Study on spatial characteristics of coal seam water injection diffusion and fracture network flow patterns based on B-GFP fluorescent bacteria tracing by Dong XIAO, Suping PENG, Xuechen LI, Hailun HE

    Published 2025-06-01
    “…The adsorption behavior of the fluorescent bacteria at various dilution ratios was systematically analyzed, along with their flow patterns within coal seam fractures. The findings provide a new method for evaluating the effectiveness of hydraulic interventions. …”
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    An efficient method for predicting the morphology of proppant packs based on a surrogate model by Tao ZHANG, Hangyu ZHOU, Yifan ZHANG, Jianchun GUO, Haoran GOU, Tang TANG

    Published 2025-03-01
    “…Intelligent proxy models for the prediction of proppant placement patterns were established on the basis of the cascade neural network, including a time-concentration model for predicting particle volume fraction and a displacement-height model for predicting particle placement height. …”
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  17. 97

    Study on user influence analysis via regional user interaction model in online social networks by Nan WANG, dong SUNQin, dong ZHOUYa, qin WANGHan, sheng SUILian

    Published 2016-01-01
    “…Conventional user influence researches do not accurate reflect the real interaction pattern between different users in online social networks. …”
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    Lulu Filterized Lin’s correlative Theil-Sen regression-based fully connected deep multilayer perceptive neural network for eye gaze pattern recognition by Rathi K., Srinivasan K.

    Published 2024-01-01
    “…Traditional tracking schemes usually need accurate personal calibration procedure to evaluate the particular eye metrics. In order to improve the accurate gaze estimation, Lulu Filterized Lin’s Correlative Theil–Sen Regression-based Fully Connected Deep Multilayer Perceptive Neural Network (LFLCTR-FCDMPNN) is designed for accurate gaze pattern identification through lesser time consumption. …”
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