Showing 81 - 100 results of 2,295 for search '((\ source selection functions\ ) OR (( resourcess OR resources) detection function\ ))', query time: 0.33s Refine Results
  1. 81

    Physiological and biochemical aspects of using black lion fly larvae as a source of biologically active and nutrient substances by M. S. Talan, I. S. Dokuchaeva, M. A. Mukhamed'yarov

    Published 2025-02-01
    “…Introduction. Functional foods are products that, in addition to taste and nutritional value, have a physiological effect on the human body. ω-6 and ω-3 fatty acids, when consumed in the form of triglycerides from various food sources, undergo digestion in the small intestine, allowing absorption and transport into the blood and subsequent assimilation into the body, including the brain, retina, heart and other tissues. …”
    Get full text
    Article
  2. 82
  3. 83

    An Optimized FPGA-Based FDIR System for Sensor Fault Detection in Satellite Attitude Estimation by Xianliang Chen, Zhicheng Xie, Jiashu Wu, Xiaofeng Wu

    Published 2025-01-01
    “…To solve this problem, a Fault Detection, Isolation, and Recovery (FDIR) was proposed, which integrates an adaptive unscented Kalman filter (AUKF), a radial basis function (RBF) neural network for fault detection, and a QUEST-based estimator. …”
    Get full text
    Article
  4. 84
  5. 85

    Integrating individual tracking data and spatial surveys to improve estimation of animal spatial distribution by Valentin Lauret, Nicolas Courbin, Olivier Scher, Aurélien Besnard

    Published 2025-05-01
    “…Simulations showed that the integrated model correctly estimated habitat selection coefficients and benefited from both data sources with better accuracy and precision than RSF and Poisson GLM alone, especially when data are limited. …”
    Get full text
    Article
  6. 86

    Design and Validation of a Lightweight Entropy-Based Intrusion Detection Algorithm for Automotive CANs by Jiacheng Chen, Zhifu Wang

    Published 2025-06-01
    “…Experimental results demonstrate robust performance under low computational resources, achieving high detection accuracy with high recall (>80%) even at 10% bus load fluctuation thresholds. …”
    Get full text
    Article
  7. 87
  8. 88

    YOLOv11-GSF: an optimized deep learning model for strawberry ripeness detection in agriculture by Haoran Ma, Qian Zhao, Runqing Zhang, Chunxu Hao, Wenhui Dong, Xiaoying Zhang, Fuzhong Li, Xiaoqin Xue, Gongqing Sun

    Published 2025-08-01
    “…To overcome these limitations, this paper introduces YOLOv11-GSF, a real-time strawberry ripeness detection algorithm based on YOLOv11, which incorporates several innovative features: a Ghost Convolution (GhostConv) convolution method for generating rich feature maps through lightweight linear transformations, thereby reducing computational overhead and enhancing resource utilization; a C3K2-SG module that combines self-moving point convolution (SMPConv) and convolutional gated linear units (CGLU) to better capture the local features of strawberry ripeness; and a F-PIoUv2 loss function inspired by Focaler IoU and PIoUv2, utilizing adaptive penalty factors and interval mapping to expedite model convergence and optimize ripeness classification. …”
    Get full text
    Article
  9. 89

    SOURCES OF FINANCING INDUSTRIAL COMPLEX ENTERPRISES by Anzhela Zakhitovna Namitulina, Mikhail Nikolaevich Prokofiev, Nikolay Viktorovich Vorovsky

    Published 2016-08-01
    “…Subject article is relevant because It is devoted to description of sources of financing of defense enterprises and peculiarities of selection of sources of financing enterprises of the military-industrial complex. …”
    Get full text
    Article
  10. 90

    Phenotypic variation of Thenus spp. (Decapoda, Scyllaridae) in the waters of southern Thailand and Malaysia using multivariate morphometric analysis by Ihsan Hani Radzi, Cheng-Ann Chen, Sukree Hajisamae, Kay Khine Soe

    Published 2025-01-01
    “… Thenus spp. are slipper lobsters which are commercially significant as a food source with good aquaculture potential. This study focuses on collecting population information on Thenus orientalis and Thenus indicus from selected sites in southern Thailand and Malaysia to inform sustainable fisheries management about the resources. …”
    Get full text
    Article
  11. 91
  12. 92

    Cookware as source of toxic metals: An overview by Okunola Alabi, Amos Tomiwa Afolabi

    Published 2024-10-01
    “… Cookware assumes a pivotal function in cooking, however, there are concerns about potential health hazards associated with the release of toxic metals into food. …”
    Get full text
    Article
  13. 93

    Cookware as source of toxic metals: An overview by Okunola Alabi, Amos Tomiwa Afolabi

    Published 2024-10-01
    “… Cookware assumes a pivotal function in cooking, however, there are concerns about potential health hazards associated with the release of toxic metals into food. …”
    Get full text
    Article
  14. 94

    Analysis of Facial Cues for Cognitive Decline Detection Using In-the-Wild Data by Fatimah Alzahrani, Steve Maddock, Heidi Christensen

    Published 2025-06-01
    “…Video-based analysis offers a promising, low-cost alternative to resource-intensive clinical assessments. This paper investigates visual features (eye blink rate (EBR), head turn rate (HTR), and head movement statistical features (HMSFs)) for distinguishing between neurodegenerative disorders (NDs), mild cognitive impairment (MCI), functional memory disorders (FMDs), and healthy controls (HCs). …”
    Get full text
    Article
  15. 95
  16. 96

    Rationale for obtaining protein concentrate of industrial hemp seeds of Cannabis sativa L. of modern selection based on mathematical modeling and its application in food production by A. V. Petrenko, E. S. Tarasov, O. N. Kaminir, E. N. Guba, E. A. Kalinyuk

    Published 2024-01-01
    “…In general, the studies have shown the feasibility of using protein concentrates from industrial hemp seeds of Cannabis Sativa L of modern selection in food products as a functional and technological ingredient.…”
    Get full text
    Article
  17. 97

    Seasonal Characteristics of Long-Range Transport and Potential Associated Sources of Particulate Matter (Pm<sub>10</sub>) Pollution at the Station Elk, Poland, on 2021-2022 Data by S. Abdo, Y. Koroleva

    Published 2023-10-01
    “…In this study, the NOAA HYSPLIT_4 trajectory model, potential source contribution function (PSCF), and concentration-weight trajectory (CWT) were employed to investigate the origin of the measured PM10 mass at a receptor site. …”
    Get full text
    Article
  18. 98

    SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments by Xiangqian Huang, Xiaoming Li, Limengzi Yuan, Zhao Jiang, Hongwei Jin, Wanghao Wu, Ru Cai, Meilian Zheng, Hongpeng Bai

    Published 2025-01-01
    “…These results indicate that SDES-YOLO successfully combines efficiency and precision in fall detection. Through these innovations, SDES-YOLO not only improves detection accuracy but also optimizes computational efficiency, making it effective even in resource-constrained environments.…”
    Get full text
    Article
  19. 99

    Sources of Life Strengths Appraisal Scale: A Multidimensional Approach to Assessing Older Adults’ Perceived Sources of Life Strengths by Prem S. Fry, Dominique L. Debats

    Published 2014-01-01
    “…A 24-month followup of a randomly selected sample confirmed that the nine-scale appraisal measure (SLSAS) is a promising instrument for appraising older adults’ sources of life strengths in dealing with stresses of daily life’s functioning and also a robust measure for predicting outcomes of resilience, autonomy, and well-being for this age group. …”
    Get full text
    Article
  20. 100

    Analysis of the Relationship Between Assimilate Production and Allocation and the Formation of Rice Quality by Jianming Tu, Fengting Wen, Feitong Li, Tingting Chen, Baohua Feng, Jie Xiong, Guanfu Fu, Yebo Qin, Wenting Wang

    Published 2025-05-01
    “…Correlation analysis indicated that dry matter mass and net photosynthetic rate were significantly positively correlated with yield, but not with taste quality, highlighting the complexity of taste quality formation. Using a membership function comprehensive evaluation method (combines the outputs of multiple membership functions into a single composite value using specific rules (e.g., weighted average, extremum, logical operations) to produce a new membership degree.), a rice variety selection system balancing yield and quality was constructed, and three varieties (Zhongzheyou 8, Huazheyou 261, and Quanyousimiao) were identified as having both high yield and excellent quality. …”
    Get full text
    Article