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  1. 361
  2. 362

    Integration and Verification of Miniature Fluid Film Pressure Sensors in Hydrodynamic Linear Guides by Burhan Ibrar, Volker Wittstock, Joachim Regel, Martin Dix

    Published 2023-08-01
    “…Therefore, different pressure sensor’s integration methods were tested in a stationary Plexiglas rail to measure fluid film pressure inside the lubrication gap. …”
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  3. 363

    INTEGRATION BETWEEN INSECT GROWTH INHIBITORS, TRIGARD AND Coccinella septempunctata (L.) IN CONTROLLING by Nazar M. Al-Mallah

    Published 2007-09-01
    “…The results also revealed the existence of variation in a predation efficiency of males and females of ladybird according to the treatment method and Trigard concentration, and showed that the highest average of males predation efficiency reached 56.8, and 53.5%, and for females 53.5, and 52.7% when the plant leaf treated by 0.15% Trigard concentration respectively. …”
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  4. 364

    A novel multi-modal rehabilitation monitoring over human motion intention recognition by Saleha Kamal, Saleha Kamal, Mohammed Alshehri, Yahya AlQahtani, Abdulmonem Alshahrani, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

    Published 2025-07-01
    “…However, existing systems struggle with recognizing such subtle movements due to complex postural variations and environmental noise. This paper presents a novel multi-modal framework that integrates RGB and depth data to extract high-resolution spatial-temporal and anatomical features for accurate HMIR. …”
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  5. 365
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    Survey on Image-Based Vehicle Detection Methods by Mortda A. A. Adam, Jules R. Tapamo

    Published 2025-05-01
    “…Deep learning methods are categorized into one-stage detectors (e.g., YOLO, SSD, FCOS, CenterNet), two-stage detectors (e.g., Faster R-CNN, Mask R-CNN), transformer-based detectors (e.g., DETR, Swin Transformer), and GAN-based methods, highlighting architectural trade-offs concerning speed, accuracy, and practical deployment. …”
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  7. 367

    Integrating Machine Learning Techniques for Enhanced Safety and Crime Analysis in Maryland by Zeinab Bandpey, Soroush Piri, Mehdi Shokouhian

    Published 2025-04-01
    “…Our research utilized an enhanced combination of machine learning models, including random forest, gradient boosting, XGBoost, extra trees, and advanced ensemble methods like stacking regressors. These models have been meticulously optimized to address the unique dynamics and demographic variations across Maryland, enhancing our capability to capture localized crime trends with high precision. …”
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  8. 368

    A VSG Power Decoupling Control with Integrated Voltage Compensation Schemes by Longhai Wei, Bo Yang, Shuai Lu

    Published 2025-04-01
    “…These methods are less effective under varying operating points. …”
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  9. 369

    An integrated strain-level analytic pipeline utilizing longitudinal metagenomic data by Boyan Zhou, Chan Wang, Gregory Putzel, Jiyuan Hu, Menghan Liu, Fen Wu, Yu Chen, Alejandro Pironti, Huilin Li

    Published 2024-11-01
    “…ABSTRACT With the development of sequencing technology and analytic tools, studying within-species variations enhances the understanding of microbial biological processes. …”
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  10. 370

    Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory by Zilong Zhao, Luliang Tang, Chang Ren, Xue Yang, Zihan Kan, Qingquan Li

    Published 2024-12-01
    “…In this study, we integrate geographic methods with high-dimensional tensor theory and develop a comprehensive framework for traffic anomaly diagnosis. …”
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  11. 371

    Coupling study on ecological resilience and urban-rural integrated development in China by Yue Wang, Mengfei Song, Siyan Zhu, Zhihui Jiang, Zhen Zhang

    Published 2025-03-01
    “…This research utilizes an integrated coupling coordination framework to examine the relationship among ecological resilience and rural-urban dynamics in 31 Chinese provinces from 2011 to 2022. …”
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  12. 372

    International competencies of nurses with advanced practice in anesthesia nursing: An integrative review by Kathrin Julia Pann, Verena-Katrin Buchner, Roland Eßl-Maurer, Tobias Bacher, Manela Glarcher, Andre Ewers

    Published 2025-06-01
    “…Eight qualitative, ten quantitative, and one mixed methods study, as well as seven scientific reports could be identified. …”
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  13. 373

    Integrated Vascular Analysis System of Olive Cultivation: Savia Olivar Project by Antonio Aguirre-Arcos, Irene Ortiz-Bernad, Juana Nieto Carricondo, Antonio M. Lallena, Marino Pedro Reyes-Martín, Álvaro Ávila-Pérez, Emilia Fernández-Ondoño

    Published 2025-07-01
    “…Olive trees are widely cultivated crops, especially in Mediterranean countries, which requires new practices to maintain productivity, optimize resource use and improve the quality of the environment. Integrated production seeks to achieve these objectives, but this requires rapid and effective methods to plan crop nutrition. …”
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  14. 374

    Integrating Remote Sensing and AI for precision Monitoring of Soil and Vegetation Contamination by M. Spiralski, A. Miszczak, G. Siebielec, Ż. Piasecka, R. Trojnacki, P. Kwaśnik, J. Kotlarz, K. A. Kubiak-Siwinska, M. Kacprzak, S. Marciniak, K. A. Rotchimmel, K. P. Beben, J. Szymanski

    Published 2025-08-01
    “…Addressing the needs of end-users, the research focuses on the development of reliable methods to assess environmental contaminants that impact soil quality. …”
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    An Integrated Approach to Riverbed Morphodynamic Modeling Using Remote Sensing Data by Matteo Bozzano, Francesco Varni, Monica De Martino, Alfonso Quarati, Nicoletta Tambroni, Bianca Federici

    Published 2024-11-01
    “…This method enables us to identify the river centerline, its width, and its slope variations. …”
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  17. 377

    Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

    Published 2025-01-01
    “…These signals can be obscured by noise or exhibit complex, non-stationary behavior, making them difficult to detect and analyze using conventional Fourier-based methods. Moreover, standard regression-based approaches for interpreting induction logging data may fail to capture intricate signal variations, limiting their effectiveness in real-time decision-making. …”
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  18. 378

    GLLR-HAD: Global-local low-rank integration for hyperspectral image anomaly detection by Yu Bai, Yanling Zhang, Lili Zhang, Tan Zhao

    Published 2025-07-01
    “…To overcome this limitation, we propose a novel framework, Global-Local Low-Rank Integration for Hyperspectral Anomaly Detection (GLLR-HAD), which synergistically integrates global and local low-rank modeling to effectively extract both global semantic representations and local fine-grained features from HSI data. …”
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  19. 379
  20. 380

    Bayesian variable selection with graphical structure learning: Applications in integrative genomics. by Suprateek Kundu, Yichen Cheng, Minsuk Shin, Ganiraju Manyam, Bani K Mallick, Veerabhadran Baladandayuthapani

    Published 2018-01-01
    “…Our methods are motivated by and applied to a glioblastoma multiforme (GBM) dataset from The Cancer Genome Atlas to predict patient survival times integrating gene expression, copy number and methylation data. …”
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