Showing 281 - 300 results of 907 for search '((( source OR sources) detection functions ) OR ( sources detection function ))', query time: 0.35s Refine Results
  1. 281

    The accuracy of a novel stunting risk detection application based on nutrition and sanitation indicators in children aged under five years by Tria Astika Endah Permatasari, Yudi Chadirin, Ernirita Ernirita, Anisa Nurul Syafitri, Devina Alifia Fadhilah

    Published 2025-05-01
    “…This study aimed to develop and evaluate the accuracy of a stunting risk detection application based on nutrition and sanitation indicators in children aged under five years. …”
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    Article
  2. 282

    Sheath Voltage Limiter Defects Detection Method Based on Harmonic Phasor Differences of Sheath Current for Cross-Bonded HV Cable by Hao Hu, Jing Tu, Yongheng Ai, Zhanran Xia, Ruoxin Song, Bin Yang, Xinyun Gao, Zhi Li, Fuyuan Liu, Hang Wang

    Published 2025-01-01
    “…By establishing a frequency-domain equivalent model of cross-bonded HV cables combined with SVL nonlinear resistance characteristics, harmonic currents under defect conditions are treated as harmonic sources injected into the sheath loop. Transfer functions analyze the impacts of SVL defects on sheath currents, revealing that harmonic content during SVL defects is significantly higher than under normal conditions and other defect types. …”
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    Article
  3. 283
  4. 284

    A deep learning based intrusion detection system for CAN vehicle based on combination of triple attention mechanism and GGO algorithm by Hongwei Yang, Mehdi Effatparvar

    Published 2025-06-01
    “…For checking the effectiveness of the suggested method, an open-source dataset was applied, which recorded the traffic of CAN using a real vehicle throughout injection attacks of message. …”
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    Article
  5. 285

    Enhanced YOLOv7-Tiny for Small-Scale Fire Detection via Multi-Scale Channel Spatial Attention and Dynamic Upsampling by Shihao Wu, Yi Xia

    Published 2025-01-01
    “…Furthermore, the Focaler-IoU loss function is employed to focus the model on hard samples, enhancing the accuracy of small fire detection. …”
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    Article
  6. 286

    Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems by Huthaifa I. Ashqar, Taqwa I. Alhadidi, Mohammed Elhenawy, Nour O. Khanfar

    Published 2024-10-01
    “…Two primary research questions are addressed: the capacity of these models to detect and enumerate objects within thermal images, and to determine whether pairs of image sources represent the same scene. …”
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    Article
  7. 287

    Scalable Electrochemical Synthesis of Novel Biogenic Silver Nanoparticles and Its Application to High-Sensitive Detection of 4-Nitrophenol in Aqueous System by Van-Tuan Hoang, Ngo Xuan Dinh, Tuyet Nhung Pham, Tran Vinh Hoang, Pham Anh Tuan, Tran Quang Huy, Anh-Tuan Le

    Published 2021-01-01
    “…Under a direct-current voltage source, the biomolecules in GTE can release electrons to promote the reducing process of Ag+ to Ag0. …”
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    Article
  8. 288

    Industrial production and functional profiling of probiotic Pediococcus acidilactici 72 N for potential use as a swine feed additive by Nay Zin Myo, Ratchnida Kamwa, Benjamas Khurajog, Pawiya Pupa, Wandee Sirichokchatchawan, David J. Hampson, Nuvee Prapasarakul

    Published 2025-04-01
    “…Conventional and statistical optimization techniques were used to screen food-grade carbon sources (glucose, dextrose, sucrose) and nitrogen sources (beef extract, yeast extract, sweet whey) to develop the optimal formulation. …”
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    Article
  9. 289

    Compact Laser-Induced Fluorescence Detector with Adjustable Laser Focal Spot for Multiple Purposes by Zihe Xu, Xi Chen, Fangwu Liu

    Published 2024-09-01
    “…In many research fields, the demand for miniaturized laser-induced fluorescence (LIF) detection systems has been increasing. This work has developed a compact LIF detector, employing a laser diode as the excitation source and a photodiode as the photodetector with an adjustable laser focal spot, to meet the diverse requirements of various observation targets, such as capillaries, PCR tubes, and microfluidic chips. …”
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  10. 290

    Saponins from <i>Solanum nigrum</i> L. Fruit: Extraction Optimization, Structural Characterization, and Dual-Functional Efficacy by Shuyuan Chen, Weiyun Guo, Tonghe Zhang, Jianfang Chen, Li Huang, Jihong Huang, Ruqiang Huang

    Published 2025-07-01
    “…., a widely consumed Asian medicinal edible plant, is a promising source of bioactive saponins for functional food applications. …”
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    Article
  11. 291

    Nutritional and Functional Characterization of Flour from Seeds of Chañar (<i>Geoffroea decorticans</i>) to Promote Its Sustainable Use by Marisa Ayelen Rivas, Enzo Agustin Matteucci, Ivana Fabiola Rodriguez, María Alejandra Moreno, Iris Catiana Zampini, Adriana Ramon, María Inés Isla

    Published 2025-03-01
    “…The flour of seeds was analyzed as a source of nutritional and bioactive compounds. It has a low carbohydrate content, containing about 9% protein and between 10 and 14% fat. …”
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    Article
  12. 292

    PATHOLOGICAL SIGNS OF EPILEPTIC AND NON-EPILEPTIC ORIGIN DETECTED IN AWAKE/SLEEP EEG PATTERNS DURING OUTPATIENT AND INPATIENT MONITORING: PROBLEMS OF INTERPRETATION by V. V. Gnezditskiy, O. S. Korepina, V. A. Karlov, G. B. Novoselova

    Published 2017-08-01
    “…The aims of this study were: (a) to elucidate the role of prolonged computerized EEG in assessing the brain function in patients with focal lesions (stroke consequences, tumor, etc.), and (b) to summarize the experience of using outpatient and inpatient EEG monitoring in neurological practice.Materials and methods. …”
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    Article
  13. 293

    Enhanced high-sensitivity multi-layer neutron detector based on LiF:ZnS(Ag) scintillator by Ilan Cohen Zada, Alon Osovizky, Itzhak Orion

    Published 2024-12-01
    “…Each layer consists of a LiF: ZnS(Ag) scintillator coupled with a transparent neutron moderator that also functions as a light guide for the Silicon Photomultiplier (SiPM) light sensor. …”
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    Article
  14. 294

    Reconstructed Phase Space-Based Damage Detection Using a Single Sensor for Beam-Like Structure Subjected to a Moving Mass by Zhenhua Nie, Tuan Ngo, Hongwei Ma

    Published 2017-01-01
    “…This paper presents a novel damage detection method based on the reconstructed phase space of vibration signals using a single sensor. …”
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    Article
  15. 295

    Dip‐Pen Nanolithography‐Based Fabrication of Meta‐Chemical Surface for Heavy Metal Detection: Role of Poly‐Methyl Methacrylate in Sensor Sensitivity by Rahma Okbi, Mohammed Alkrenawi, Krishna Kumar Yadav, Dror Shamir, Haya Kornweitz, Yael Peled, Moshe Zohar, Ariela Burg

    Published 2025-02-01
    “…The nanosize, the surface‐to‐volume ratio (18.6 and 23.1 μm−1 for DAN‐ and D‐PA‐based ink, respectively), and the binding strength between the ligand and the cation (2.21 and −21.37 kcal mol−1 for DAN‐ and D‐PA‐based ink, respectively) are found to be the source of their high sensitivity, with limit of detection values of 0.40 and 0.30 ppb for DAN and D‐PA, respectively. …”
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  16. 296

    Revealing Potential Initial Mass Function Variations with Metallicity: JWST Observations of Young Open Clusters in a Low-metallicity Environment by Chikako Yasui, Natsuko Izumi, Masao Saito, Ryan M. Lau, Naoto Kobayashi, Michael E. Ressler

    Published 2024-01-01
    “…A total of 52 and 91 sources were extracted in mass- A _V -limited samples in the two clusters, from which initial mass functions (IMFs) were derived by model-fitting the F200W band luminosity function, resulting in IMF peak masses (hereafter M _C ) $\mathrm{log}{M}_{C}/{M}_{\odot }\simeq -1.5\pm 0.5$ for both clusters. …”
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  17. 297

    Smoke and Fire-You Only Look Once: A Lightweight Deep Learning Model for Video Smoke and Flame Detection in Natural Scenes by Chenmeng Zhao, Like Zhao, Ka Zhang, Yinghua Ren, Hui Chen, Yehua Sheng

    Published 2025-03-01
    “…Owing to the demand for smoke and flame detection in natural scenes, this paper proposes a lightweight deep learning model, SF-YOLO (Smoke and Fire-YOLO), for video smoke and flame detection in such environments. …”
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    Article
  18. 298

    Multi-layer feature fusion and attention-enhanced YOLOv9 for rapid field detection of greenhouse blueberry maturity at long and short distances by Ziwei Pan, Lei Xu, Wanjin Zhao, Cong Fan, Xihao Zhang, Weihui Chen, Yonglin Shen, Nengcheng Chen

    Published 2025-08-01
    “…Given the dense growth of blueberry plants and small fruit size, detecting blueberry maturity at long distances poses significant challenges. …”
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    Article
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