Showing 3,061 - 3,080 results of 5,074 for search 'features network (evolution OR evaluation)', query time: 0.24s Refine Results
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    Biomechanical parameter assessment for classification of Parkinson’s disease on clinical scale by Abdul Haleem Butt, Erika Rovini, Dario Esposito, Giuseppe Rossi, Carlo Maremmani, Filippo Cavallo

    Published 2017-05-01
    “…Selected features were trained in support vector machine, logistic regression, and neural network to classify the two groups of patients. …”
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    Build with intrinsic security: Trusted autonomy security system by Shen He, Jing Huang, Penglin Yang

    Published 2020-11-01
    “…Based on these features, attacks against Internet of things network like distributed denial-of-service and system intrusion are easier than traditional network. …”
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  8. 3068

    Fall prediction based on biomechanics equilibrium using Kinect by Xu Tao, Zhou Yun

    Published 2017-04-01
    “…The research includes building a human bionic mass model using skeleton joints data from Kinect, determining human balance state, and proposing a fall prediction algorithm based on recurrent neural networks by unbalanced posture features. We evaluate the model and algorithm on an open database. …”
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  9. 3069

    Pworm: Passive and Real-Time Wormhole Detection Scheme for WSNs by Li Lu, Muhammad Jawad Hussain, Guoxing Luo, Zhigang Han

    Published 2015-11-01
    “…It does not necessitate specialized hardware or poses rigorous assumptions on network features. We evaluate our scheme through extensive simulations of 100 to 800 nodes for various network scales and show that Pworm is well suited for false alarms, scalability, and time delay in terms of activation as well as detection latencies.…”
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  10. 3070

    A WiFi RSSI ranking fingerprint positioning system and its application to indoor activities of daily living recognition by Zixiang Ma, Bang Wu, Stefan Poslad

    Published 2019-04-01
    “…Second, Kendall tau correlation coefficient and a convolutional neural network are applied to extract the ranking features for estimating locations. …”
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    Discovering Human Presence Activities with Smartphones Using Nonintrusive Wi-Fi Sniffer Sensors: The Big Data Prospective by Weijun Qin, Jiadi Zhang, Bo Li, Limin Sun

    Published 2013-12-01
    “…In this paper, we propose an optimized Wi-Fi channel detection and selection method to switch the best channels automatically to aggregate the Wi-Fi messages based on channel data transmission weights and human presence activity classification method based on the features of human dwell duration sequences in order to evaluate the user engagement index. …”
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  13. 3073

    Path Prediction Method for Effective Sensor Filtering in Sensor Registry System by Sukhoon Lee, Dongwon Jeong, Doo-Kwon Baik, Dae-Kyoo Kim

    Published 2015-07-01
    “…To improve prediction accuracy, we consider a time feature to measure weights and predict a path. We implement the method and the implementation and its evaluation confirm the improvement of time and accuracy for processing sensor information.…”
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    Estimation Vehicular Waiting Time at Traffic Build-Up Queues by Mohamed Maher Ata, Mohamed El-Darieby, Baher Abdulhai, Emad Felemban, Saleh Basalamah, Basim Zafar

    Published 2013-08-01
    “…An automated system for queue end monitoring has been proposed using image processing based transformed domain and empirical mode decomposition (EMD) feature extraction systems. The performance of feedforward backpropagation algorithm artificial neural networks (ANNs) was evaluated and tested, based on a selected set of features. …”
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    Employing CNN mobileNetV2 and ensemble models in classifying drones forest fire detection images by Dima Suleiman, Ruba Obiedat, Rizik Al-Sayyed, Shadi Saleh, Wolfram Hardt, Yazan Al-Zain

    Published 2025-01-01
    “…Several experiments were conducted on the DeepFire dataset, which comprises an equal number of images with and without fire, to evaluate MobileNetV2's performance. Notably, the architecture's linear bottlenecks and the efficient use of inverted residuals ensure high accuracy without compromising on feature extraction capabilities. …”
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    AERO: Adaptive Edge-Cloud Orchestration With a Sub-1K-Parameter Forecasting Model by Berend J. D. Gort, Godfrey M. Kibalya, Angelos Antonopoulos

    Published 2025-01-01
    “…Effective resource management in edge-cloud networks is crucial for meeting Quality of Service (QoS) requirements while minimizing operational costs. …”
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