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Optimizing Camera Settings and Unmanned Aerial Vehicle Flight Methods for Imagery-Based 3D Reconstruction: Applications in Outcrop and Underground Rock Faces
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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1163
THE STATE OF LABORATORY SERVICE FOR TUBERCULOSIS DIAGNOSIS IN THE SIBERIAN AND FAR EASTERN FEDERAL DISTRICTS
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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1164
Identification and optimization of relevant factors for chronic kidney disease in abdominal obesity patients by machine learning methods: insights from NHANES 2005–2018
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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1165
Method and application of stability prediction model for rock slope
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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1166
ECGNet: High-Precision ECG Classification Using Deep Learning and Advanced Activation Functions
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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1167
Vision-Guided Maritime UAV Rescue System with Optimized GPS Path Planning and Dual-Target Tracking
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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1168
Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method
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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1169
Green Microfluidic Method for Sustainable and High-Speed Analysis of Basic Amino Acids in Nutritional Supplements
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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1170
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1171
A Unified Multi-Target Clever Eye Algorithm: Analytical Solutions and Application
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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1172
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1173
An optimization method for hemi-diaphragm measurement of dynamic chest X-ray radiography during respiration based on graphics and diaphragm motion consistency criterion
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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1174
An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform
Published 2025-12-01“…This method helps to reduce the feature dimensionality and overfitting issues. …”
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1175
From Meta SAM to ArcGIS: A Comparative Analysis of Image Segmentation Methods for Monitoring Refugee Camp Transitions
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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1176
Evading control flow graph based GNN malware detectors via active opcode insertion method with maliciousness preserving
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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1177
Computer-aided diagnosis of Haematologic disorders detection based on spatial feature learning networks using blood cell images
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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1178
Multi-Source, Fault-Tolerant, and Robust Navigation Method for Tightly Coupled GNSS/5G/IMU System
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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1179
A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection
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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1180
Integrating hybrid bald eagle crow search algorithm and deep learning for enhanced malicious node detection in secure distributed systems
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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