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281
Comparative Evaluation of Preprocessing Methods for MobileNetV1 and V2 in Waste Classification
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282
Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-...
Published 2025-07-01“…For the second objective, the NN-GBLUP model incorporating PCA-reduced RMC data improved prediction accuracy compared to standard GBLUP methods. Prediction accuracy for methane emissions increased from 0.09 to 0.30 in train-test validation and from 0.15 to 0.27 in five-fold cross-validation using PCA components explaining 25% of total RMC variation. …”
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283
Characteristics and prediction methods of coal spontaneous combustion for deep coal mining in the Ximeng mining area
Published 2025-02-01“…Based on this, targeted fire prevention and extinguishing methods can be adopted. The results of this study serve as a reference for preventing coal spontaneous combustion for deep coal mining in mining areas.…”
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284
Data Reconstruction Methods in Multi-Feature Fusion CNN Model for Enhanced Human Activity Recognition
Published 2025-02-01“…This method offers a practical and efficient solution, streamlining feature extraction and enhancing performance, making it suitable for real-world applications.…”
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285
Study on the Improvement of Theoretical and Electric Field Simulation Methods for the Accurate Prediction of FEEP Thruster Performance
Published 2024-09-01“…We identify critical flaws in the previous theoretical methods and derive corrected equations. Additionally, we define and implement the overall half angle of the Taylor cone to account for variations in the Taylor cone’s half angle depending on the applied voltage. …”
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286
A comparison of tissue preparation methods for protein extraction of cocoa (Theobroma cacao L.) pod
Published 2017-04-01“…Cocoa has a very high level of interfering substances, such as polysaccharides and phenolic compounds that could prevent the isolation of suitable protein. Efficient methods of protein extraction are a priority to successfully apply proteomic analyses. …”
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287
A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023
Published 2024-01-01“…Many researchers have proposed numerous methods and worked in the area of AD. Multiple anomalies and considerable intraclass variation make industrial datasets tough. …”
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288
Comparing between virtual reality based pre-clinical implantation training and traditional learning methods
Published 2025-02-01“…In this case, we anticipate the possible application of virtual reality (VR) technology to pre-clinical implantation training (PCIT) in order to improve the students’ learning efficiency and effectiveness. Methods The study divided 20 subjects into two groups on average—VR based PCIT (experimental group) and traditional PCIT (control group) with the completion of the background survey (BS) before PCITs, to guarantee no apparent backgroud variation including learning of oral implantology and VR technology, learning habits, interests and hobbies, etc. …”
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289
Contrasting aerial moose population estimation methods and evaluating sightability in west‐central Alberta, Canada
Published 2014-09-01“…Our results support the application of distance sampling as an alternative to block‐surveys, but we suggest further investigation of methods for correcting visibility bias on the transect line. © 2014 The Wildlife Society.…”
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290
PD-YOLO: a novel weed detection method based on multi-scale feature fusion
Published 2025-04-01“…This research not only presents an efficient and accurate weed detection method but also offers new insights and technological advances for automated weed detection in agriculture.…”
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291
Internal control system of accounts receivable: directions of perfection
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292
An Evaluation of Different Digestion Methods for the Quantitation of Inorganic Elements in Human Hair Using ICP-MS
Published 2022-01-01“…Our results demonstrated that O-MicroD, MicroD, and RT were the best performing digestion methods for coefficient of variation (CV) scores, coverage, and recovery efficiency, respectively. …”
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293
Evaluation of a robust PID dead-time compensation controller based on the evolutionary computation method
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294
A Recognition Method for Marigold Picking Points Based on the Lightweight SCS-YOLO-Seg Model
Published 2025-08-01“…Accurate identification of picking points remains a critical challenge for automated marigold harvesting, primarily due to complex backgrounds and significant pose variations of the flowers. To overcome this challenge, this study proposes SCS-YOLO-Seg, a novel method based on a lightweight segmentation model. …”
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295
Two-stage denoising method for complex underground tunnel scene three-dimensional point clouds
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296
A High-Precision Temperature Compensation Method for TMR Weak Current Sensors Based on FPGA
Published 2024-11-01“…However, temperature variations can negatively impact their accuracy. This work investigates the effects of temperature variations on measurement accuracy. …”
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297
A Bayesian Method for Simultaneous Identification of Structural Mass and Stiffness Using Static–Dynamic Measurements
Published 2025-04-01“…Moreover, the Kriging surrogate significantly improves computational efficiency. Experimental validation on an aluminum alloy cantilever beam further corroborates the effectiveness and practical applicability of the proposed method.…”
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298
Analysis of influential factors on temperature field in the construction of concrete warm shed method for pile cap
Published 2025-06-01“…Abstract In order to enhance the curing efficiency of the heating shed method, this study employs field testing and numerical simulation techniques. …”
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299
A Five-Axis Toolpath Corner-Smoothing Method Based on the Space of Master–Slave Movement
Published 2024-11-01“…The smoothing of linear toolpaths plays is critical in improving machining quality and efficiency in five-axis CNC machining. Existing corner-smoothing methods often overlook the impact of spline curvature fluctuations, which may lead to acceleration variations, hindering surface quality improvements. …”
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300
High-Precision Dynamics Characteristic Modeling Method Research considering the Influence Factors of Hydropneumatic Suspension
Published 2020-01-01“…The proposed modeling method of the HPS nonlinear characteristics is highly efficient, accurate, and faster than traditional methods.…”
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