Výsledky vyhľadávania - support detection and root finding algorithm

  1. 1

    A Newton-Type Method for ℓ0-Regularized Accelerated Failure Time Model Under the Case–Cohort Design Autor Liu, Yanyan, Tian, Ke, Wang, Danlu, Zhang, Jing

    ISSN: 1439-8516, 1439-7617
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2025
    “… Computationally, we develop a support detection and root finding (SDAR) algorithm, where the support is first determined based on the primal and dual information…”
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    Bias-enhanced support detection and root finding approach Autor Ming, Hao, Yang, Hu

    ISSN: 0960-3174, 1573-1375
    Vydavateľské údaje: New York Springer US 01.10.2025
    Vydané v Statistics and computing (01.10.2025)
    “… We term this approach the bias-enhanced support detection and root finding approach (BESDAR). The BESDAR algorithm significantly reduces estimation mean square error…”
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  3. 3

    MLSFDD: Machine-Learning-Based Smart Fire Detection Device for Precision Agriculture Autor Maity, Tapan, Nath Bhawani, Adi, Samanta, Jagannath, Saha, Prabir, Majumdar, Shubhankar, Srivastava, Gautam

    ISSN: 1530-437X, 1558-1748
    Vydavateľské údaje: New York IEEE 01.03.2025
    Vydané v IEEE sensors journal (01.03.2025)
    “… In this work, a smart IoT-based device [(ML-based smart fire detection device (MLSFDD)] is designed for smart agriculture…”
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    Artificial Intelligence Algorithm-Based Economic Denial of Sustainability Attack Detection Systems: Cloud Computing Environments Autor Aldhyani, Theyazn H. H., Alkahtani, Hasan

    ISSN: 1424-8220, 1424-8220
    Vydavateľské údaje: Basel MDPI AG 21.06.2022
    Vydané v Sensors (Basel, Switzerland) (21.06.2022)
    “… We present an effective approach to mitigating EDoS attacks in cloud computing. To mitigate such distributed attacks, methods for detecting them on different cloud computing smart grids have been suggested…”
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    Design and analysis of large-scale biological rhythm studies: a comparison of algorithms for detecting periodic signals in biological data Autor Deckard, Anastasia, Anafi, Ron C., Hogenesch, John B., Haase, Steven B., Harer, John

    ISSN: 1367-4803, 1367-4811, 1367-4811, 1460-2059
    Vydavateľské údaje: England Oxford University Press 15.12.2013
    Vydané v Bioinformatics (15.12.2013)
    “… data and biological data. Synthetic data were used to evaluate how each algorithm responds to different curve shapes, periods, phase shifts, noise levels and sampling rates…”
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    Detection of Soluble Solids Content (SSC) in Pears Using Near-Infrared Spectroscopy Combined with LASSO–GWF–PLS Model Autor Zhan, Baishao, Li, Peng, Li, Ming, Luo, Wei, Zhang, Hailiang

    ISSN: 2077-0472, 2077-0472
    Vydavateľské údaje: Basel MDPI AG 01.07.2023
    Vydané v Agriculture (Basel) (01.07.2023)
    “… characteristic absorption peaks corresponding to different characteristic wavelengths. Traditional methods such as genetic algorithm (GA…”
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  7. 7

    Decision-Support for Restorative Dentistry: Hybrid Optimization Enhances Detection on Panoramic Radiographs Autor Ateş, Gül, Türk, Fuat, Akçın, Elif Tuba, Güngör, Müjgan

    ISSN: 2227-9032, 2227-9032
    Vydavateľské údaje: Switzerland MDPI AG 14.11.2025
    Vydané v Healthcare (Basel) (14.11.2025)
    “…Background/Objectives: Artificial intelligence (AI) has been increasingly used to support radiological assessment in dentistry…”
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    GSDAR: a fast Newton algorithm for ℓ0 regularized generalized linear models with statistical guarantee Autor Huang, Jian, Jiao, Yuling, Kang, Lican, Liu, Jin, Liu, Yanyan, Lu, Xiliang

    ISSN: 0943-4062, 1613-9658
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2022
    Vydané v Computational statistics (01.03.2022)
    “…We propose a fast Newton algorithm for ℓ 0 regularized high-dimensional generalized linear models based on support detection and root finding…”
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    AI-driven models for prediction of ceramic tiles' properties and detection of the influences: Behavior during shaping and drying Autor Vasić, Milica V, Awoyera, Paul O, Onyelowe, Keneddy C, Mydin, Md Azree Othuman, Barišić, Ivana, Grubeša, Ivanka Netinger

    ISSN: 0036-8504, 2047-7163, 2047-7163
    Vydavateľské údaje: London, England SAGE Publications 01.04.2025
    Vydané v Science progress (1916) (01.04.2025)
    “…The shaping and drying of ceramics are a critical yet complex process that directly influences ceramic materials’ final properties and performance. Predicting…”
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  10. 10

    Estimating Invisible Passenger Count Using CCTV Footage: An Approach Combining Object Detection Models and Machine Learning Autor Kim, Kyung-Hee, An, Tae-Ki, Kim, Sunhee

    ISSN: 2169-3536, 2169-3536
    Vydavateľské údaje: Piscataway IEEE 2025
    Vydané v IEEE access (2025)
    “… Thus, even with precise detection of visible individuals using object detection algorithms, estimating the total count remains a challenge…”
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    Rapid Detection of Protein Content in Fuzzy Cottonseeds Using Portable Spectrometers and Machine Learning Autor Dong, Xiaofeng, Li, Qingxu, Luo, Zhenwei, Zhang, Sun, Zhang, Hongzhou, Jin, Guoqiang

    ISSN: 2227-9717, 2227-9717
    Vydavateľské údaje: Basel MDPI AG 10.10.2025
    Vydané v Processes (10.10.2025)
    “…This study developed a rapid, non-destructive method for the quantitative detection of protein in cottonseed by integrating near-infrared (NIR…”
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  12. 12

    Exploring Machine Learning Algorithms to Unveil Genomic Regions Associated With Resistance to Southern Root-Knot Nematode in Soybeans Autor Canella Vieira, Caio, Zhou, Jing, Usovsky, Mariola, Vuong, Tri, Howland, Amanda D., Lee, Dongho, Li, Zenglu, Zhou, Jianfeng, Shannon, Grover, Nguyen, Henry T., Chen, Pengyin

    ISSN: 1664-462X, 1664-462X
    Vydavateľské údaje: Switzerland Frontiers Media SA 03.05.2022
    Vydané v Frontiers in plant science (03.05.2022)
    “…Southern root-knot nematode [SRKN, Meloidogyne incognita (Kofold & White) Chitwood] is a plant-parasitic nematode challenging to control due to its short life…”
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    Thermal Runaway Warning of Lithium Battery Based on Electronic Nose and Machine Learning Algorithms Autor Pu, Zilong, Yang, Miaomiao, Jiao, Mingzhi, Zhao, Duan, Huo, Yu, Wang, Zhi

    ISSN: 2313-0105, 2313-0105
    Vydavateľské údaje: Basel MDPI AG 01.11.2024
    Vydané v Batteries (Basel) (01.11.2024)
    “…Characteristic gas detection can be an efficient way to predict the degree of thermal runaway of a lithium battery…”
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    Anomaly Detection for Hydroelectric Power Plants: a Machine Learning-based Approach Autor Fanan, Mattia, Baron, Claudio, Carli, Ruggero, Divernois, Marc-Aurele, Marongiu, Jean-Christophe, Susto, Gian Antonio

    ISSN: 2378-363X
    Vydavateľské údaje: IEEE 18.07.2023
    “… and explainability algorithms to supplement Decision Support System insights in Predictive Maintenance and Root Cause Analysis…”
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    A hybrid decision support system for automatic detection of Schizophrenia using EEG signals Autor Khare, Smith K., Bajaj, Varun

    ISSN: 0010-4825, 1879-0534, 1879-0534
    Vydavateľské údaje: United States Elsevier Ltd 01.02.2022
    Vydané v Computers in biology and medicine (01.02.2022)
    “… This causes permanent disability and hampers routine functioning. Trained neurologists use interviewing and visual inspection techniques for the detection and diagnosis of SCZ…”
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    Enhancing monthly runoff prediction: a data-driven framework integrating variational mode decomposition, enhanced artificial rabbit optimization, support vector regression, and error correction Autor He, Ni-ni, Wang, Wen-chuan

    ISSN: 1865-0473, 1865-0481
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2025
    Vydané v Earth science informatics (01.09.2025)
    “…) and multi-strategy enhanced Artificial Rabbit Optimization algorithm (MARO), combined with Support Vector Regression (SVR) for prediction…”
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    Development of a Multiscale XGBoost-Based Model for Enhanced Detection of Potato Late Blight Using Sentinel-2, UAV, and Ground Data Autor Chang, Sheng, Chi, Zelong, Chen, Hong, Hu, Tongle, Gao, Caixia, Meng, Jihua, Han, Liangxiu

    ISSN: 0196-2892, 1558-0644
    Vydavateľské údaje: New York IEEE 2024
    “… A key finding of this study is the general similarity in spectral patterns across different scales, with consistent valley values in bands of blue and red and peak values in bands of near infrared (NIR…”
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  19. 19

    A pesticide residue detection model for food based on NIR and SERS Autor Yan, Fuchao, Zhang, Rui, Wang, Shuqi, Zhang, Ning, Zhang, Xueyao

    ISSN: 1932-6203, 1932-6203
    Vydavateľské údaje: United States Public Library of Science 08.04.2025
    Vydané v PloS one (08.04.2025)
    “…) and Surface Enhanced Raman Spectroscopy (SERS) techniques, aiming to achieve efficient and accurate detection of pesticide residues in food by integrating the spectral information from both techniques…”
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    Detection of wheat saccharification power and protein content using stacked models integrated with hyperspectral imaging Autor Huang, Yuexiang, Tian, Jianping, Yang, Haili, Hu, Xinjun, Han, Lipeng, Fei, Xue, He, Kangling, Liang, Yan, Xie, Liangliang, Huang, Dan, Zhang, HengJing

    ISSN: 0022-5142, 1097-0010, 1097-0010
    Vydavateľské údaje: Chichester, UK John Wiley & Sons, Ltd 01.05.2024
    “…) with stacked ensemble learning (SEL). RESULTS This study extracted hyperspectral information from 14 different varieties of wheat and employed various algorithms for preprocessing…”
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