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Showing 21 - 40 results of 479 for search 'Feature detection analytics', query time: 0.14s Refine Results
  1. 21

    Features of Unmanned Aircraft Detection Using Precision Approach Radar by E. A. Rubtsov, A. V. Fedorov, N. V. Povarenkin, M. Al-Rubaye

    Published 2022-06-01
    “…An analytical method was used for determining the maximum detection range for a precision approach radar, taking into account UAV characteristics. …”
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    Article
  2. 22

    A multi-tiered feature selection model for android malware detection based on Feature discrimination and Information Gain by Parnika Bhat, Kamlesh Dutta

    Published 2022-11-01
    “…A large number of irrelevant features has become the performance bottleneck of the detection mechanism. …”
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    Article
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    Smart train control and monitoring system with predictive maintenance and secure communications features by Alfian Akbar Gozali, Muhammad Faris Ruriawan, Andry Alamsyah, Yudha Purwanto, Ade Romadhony, Febry Pandu Wijaya, Fifin Nugroho, Dewi Nala Husna, Agri Kridanto, Anang Fakhrudin, Mu’ammar Itqon, Sri Widiyanesti

    Published 2025-05-01
    “…On top of the proprietary TCMS system, the authors designed an intelligent TCMS fitted with two main functions. First, the data analytics features predict the product age and deliver real-time notifications. …”
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    Article
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    A Study of Feature Combination for Vehicle Detection Based on Image Processing by Jon Arróspide, Luis Salgado

    Published 2014-01-01
    “…Video analytics play a critical role in most recent traffic monitoring and driver assistance systems. …”
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    Article
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    The Bright Feature Transform for Prominent Point Scatterer Detection and Tone Mapping by Gregory D. Vetaw, Suren Jayasuriya

    Published 2025-03-01
    “…This paper introduces a fast image-processing method to visually identify and detect point scatterers in synthetic aperture imagery using the bright feature transform (BFT). …”
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    Article
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    Video Analytic Based Health Monitoring for Driver in Moving Vehicle by Extracting Effective Heart Rate Inducing Features by Kanghyu Lee, David K. Han, Hanseok Ko

    Published 2018-01-01
    “…In contrast, this paper proposes a practical video analytic framework under actual driving conditions by extracting key HR inducing features. …”
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    Article
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    Music Classification and Detection of Location Factors of Feature Words in Complex Noise Environment by Yulan Xu, Qiaowei Li

    Published 2021-01-01
    “…In order to solve the problem of the influence of feature word position in lyrics on music emotion classification, this paper designs a music classification and detection model in complex noise environment. …”
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    Article
  15. 35

    Deep reinforced cognitive analytics algorithm (DRCAM): An advanced method to early detection of cognitive skill impairment using deep learning and reinforcement learning by Sunita Patil, Dr. Swetta Kukreja

    Published 2025-06-01
    “…Improvement in accuracy and intervention with discussable efficacy and potential for explanation is seen when benchmarked against conventional cognition. • Proposed the Deep Reinforced Cognitive Analytics Algorithm (DRCAM) for multimodal data. • The proposed model outperforms traditional models in cognitive skill impairment detection. • Demonstrated scalability for diverse healthcare datasets.…”
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    Article
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    Enhancing public cloud resilience: an analytical review of detection and mitigation strategies against economic denial of sustainability attacks by Zubaidi Maytham Sahar Saeed, Anazida Binti Zainal, Fuad A. Ghaleb, Bander Ali Saleh Al-rimy

    Published 2025-07-01
    “…Beyond merely cataloguing these methods, this review provides a novel analytical synthesis by categorizing defense strategies into detection, prevention, mitigation, and hybrid models, and critically evaluating them against factors such as scalability, computational overhead, and false-positive rates. …”
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    Article
  20. 40

    A Hybrid Deep Learning Model to Accurately Detect Anomalies in Online Social Media by Darbaz M. Hussein, Hakem Beitollahi

    Published 2022-11-01
    “…Therefore, one of the most significant data analytic activities for identifying normal and deviant individuals on social networks is abnormality detection. …”
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    Article