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  1. 1161
  2. 1162

    Optimizing Camera Settings and Unmanned Aerial Vehicle Flight Methods for Imagery-Based 3D Reconstruction: Applications in Outcrop and Underground Rock Faces by Junsu Leem, Seyedahmad Mehrishal, Il-Seok Kang, Dong-Ho Yoon, Yulong Shao, Jae-Joon Song, Jinha Jung

    Published 2025-05-01
    “…This study proposes a method for optimizing camera settings and UAV flight methods to minimize point cloud errors under illumination and time constraints. …”
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    Article
  3. 1163

    THE STATE OF LABORATORY SERVICE FOR TUBERCULOSIS DIAGNOSIS IN THE SIBERIAN AND FAR EASTERN FEDERAL DISTRICTS by A. G. Cherednichenko, O. V. Revyakina, T. I. Petrenko

    Published 2014-05-01
    “…There were changes in the efficiency of detection using different microbiological diagnostic methods in the bacteriological laboratories of tuberculosis facilities in 2008 to 2012.Emphasis is laid on the topical moments in laboratory service work, which require further improvement and optimization.…”
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    Article
  4. 1164

    Identification and optimization of relevant factors for chronic kidney disease in abdominal obesity patients by machine learning methods: insights from NHANES 2005–2018 by Xiangling Deng, Lifei Ma, Pin Li, Mengyang He, Ruyue Jin, Yuandong Tao, Hualin Cao, Hengyu Gao, Wenquan Zhou, Kuan Lu, Xiaoye Chen, Wenchao Li, Huixia Zhou

    Published 2024-11-01
    “…To explore the associations between these variables and CKD, the present study used a multivariable-adjusted least absolute shrinkage and selection operator (LASSO) regression model, along with a restricted cubic spline (RCS) model. Furthermore, an optimal predictive model was developed for CKD using ten machine learning algorithms and enhanced model interpretability with the Shapley Additive Explanations (SHAP) method. …”
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    Article
  5. 1165

    Method and application of stability prediction model for rock slope by Yun Qi, Chenhao Bai, Xuping Li, Hongfei Duan, Wei Wang, Qingjie Qi

    Published 2025-05-01
    “…To accurately and efficiently predict the stability state of slopes, we propose a combined model that integrates the Newton–Raphson optimization algorithm (NRBO) with an optimized extreme gradient boosting tree (XGBoost). …”
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    Article
  6. 1166

    ECGNet: High-Precision ECG Classification Using Deep Learning and Advanced Activation Functions by Muhammad Abubakar, Ahsan Raza, Arfan Ali Nagra, Anas Bilal, Ahmad Alshammari, Monir Abdullah, Sahraoui Dhelim

    Published 2025-01-01
    “…Image transformation and optimization are performed using the LabelIMG tool. ECGNet unifies an embedding layer for feature extraction, followed by two dense layers for disease detection. …”
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  7. 1167

    Vision-Guided Maritime UAV Rescue System with Optimized GPS Path Planning and Dual-Target Tracking by Suli Wang, Yang Zhao, Chang Zhou, Xiaodong Ma, Zijun Jiao, Zesheng Zhou, Xiaolu Liu, Tianhai Peng, Changxing Shao

    Published 2025-07-01
    “…Experimental results show a 4% increase in the overall mission success rate compared to traditional SAR methods, along with significant gains in responsiveness and reliability. …”
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    Article
  8. 1168

    Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method by Suwei Wang, Lile Wang, Subo Dong

    Published 2025-01-01
    “…With the rapidly increasing rate of microlensing planet detections, microlensing modeling software faces significant challenges in computation efficiency. …”
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    Article
  9. 1169

    Green Microfluidic Method for Sustainable and High-Speed Analysis of Basic Amino Acids in Nutritional Supplements by Iva Pukleš, Csilla Páger, Nikola Sakač, Bojan Šarkanj, Dean Marković, Marija Kraševac Sakač, Marija Jozanović

    Published 2024-11-01
    “…The aim of this work was to develop a new method for the determination of L-arginine, L-ornithine, and L-lysine on low-cost microchip electrophoresis instrumentation conjugated with capacitively coupled contactless conductivity detection. …”
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    Article
  10. 1170
  11. 1171

    A Unified Multi-Target Clever Eye Algorithm: Analytical Solutions and Application by Lei Wang, Xiurui Geng, Luyan Ji

    Published 2025-06-01
    “…The clever eye (CE) algorithm has been introduced for target detection in remote sensing image processing. It originally proposes the concept of data origin and can achieve the lowest average output energy compared to both the classical constrained energy minimization (CEM) and matched filter (MF) methods. …”
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  12. 1172
  13. 1173

    An optimization method for hemi-diaphragm measurement of dynamic chest X-ray radiography during respiration based on graphics and diaphragm motion consistency criterion by Yingjian Yang, Jie Zheng, Peng Guo, Tianqi Wu, Qi Gao, Yong Li, Chengcheng Liu, Yang Liu, Yingwei Guo, Huai Chen

    Published 2025-06-01
    “…To address this issue, an optimization method for hemi-diaphragm measurement is proposed, utilizing graphics and the consistency criterion for diaphragm motion.MethodsFirst, Initial hemi-diaphragms are detected based on lung field mask edges of dynamic chest X-ray images abstracted from the DCR at respiratory interventions controlled by the radiologist’s instructions. …”
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    Article
  14. 1174

    An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform by A.V. Santhosh Kumar, N. Suresh Kumar, R. Kanniga Devi

    Published 2025-12-01
    “…This method helps to reduce the feature dimensionality and overfitting issues. …”
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    Article
  15. 1175

    From Meta SAM to ArcGIS: A Comparative Analysis of Image Segmentation Methods for Monitoring Refugee Camp Transitions by Noor Marji, Michal Kohout

    Published 2025-05-01
    “…Using high-resolution satellite imagery from Al-Azraq refugee camp in Jordan (2014–2023) as a case study, this research systematically assesses each method’s performance in detecting and quantifying settlement pattern changes. …”
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    Article
  16. 1176

    Evading control flow graph based GNN malware detectors via active opcode insertion method with maliciousness preserving by Hao Peng, Zehao Yu, Dandan Zhao, Zhiguo Ding, Jieshuai Yang, Bo Zhang, Jianming Han, Xuhong Zhang, Shouling Ji, Ming Zhong

    Published 2025-03-01
    “…Abstract With the continuous advancement of machine learning, numerous malware detection methods that leverage this technology have emerged, presenting new challenges to the generation of adversarial malware. …”
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    Article
  17. 1177

    Computer-aided diagnosis of Haematologic disorders detection based on spatial feature learning networks using blood cell images by Jamal Alsamri, Hamed Alqahtani, Ali M. Al-Sharafi, Abdulbasit A. Darem, Khalid Nazim, Abdul Sattar, Menwa Alshammeri, Ahmad A. Alzahrani, Marwa Obayya

    Published 2025-04-01
    “…Finally, the CADHDD-SFLNHM model implements the pelican optimization algorithm (POA) method to fine-tune the hyperparameters involved in the CNN-BiGRU-A method. …”
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    Article
  18. 1178

    Multi-Source, Fault-Tolerant, and Robust Navigation Method for Tightly Coupled GNSS/5G/IMU System by Zhongliang Deng, Zhichao Zhang, Zhenke Ding, Bingxun Liu

    Published 2025-02-01
    “…The experimental validation was carried out in a typical outdoor scenario, and the results highlight the proposed method’s ability to mitigate undetected fault impacts, improve detection sensitivity, and significantly reduce alarm response times across step, ramp, and multi-fault mixed scenarios. …”
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    Article
  19. 1179

    A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection by Hessa Alfraihi, Muhammad Swaileh A. Alzaidi, Hamed Alqahtani, Abdulbasit A. Darem, Ali M. Al-Sharafi, Ahmad A. Alzahrani, Menwa Alshammeri, Abdulwhab Alkharashi

    Published 2025-02-01
    “…The ECMVFD-FTLTDO approach utilizes an Elman recurrent neural network (ERNN) classifier for the detection process. The Tasmanian devil optimizer (TDO) method is implemented to optimize the parameters of the ERNN classifier, ensuring superior convergence and performance. …”
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  20. 1180

    Integrating hybrid bald eagle crow search algorithm and deep learning for enhanced malicious node detection in secure distributed systems by Feras Mohammed Al-Matarneh

    Published 2025-04-01
    “…Meanwhile, the convolutional sparse autoencoder (CSAE) model detects malicious nodes. Finally, the dung beetle optimization (DBO) method is employed for the parameter range of the CSAE method. …”
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    Article