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2161
Road Marking Sign Damage Detection and Classification Using Deep Learning and Fuzzy Method
Published 2025-01-01“…This research proposes a novel method to detect damaged road marking signs and classify the damage level using the combination of YOLOv9, VAE, image processing techniques, and fuzzy logic. …”
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2162
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2163
ICEEMDAN–VMD denoising method for enhanced magnetic memory detection signal of micro-defects
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2164
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2165
An improved multi‐scale YOLOv8 for apple leaf dense lesion detection and recognition
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2166
Detection of GNSS spoofed signals based on the weighted moving average bias correction method
Published 2025-08-01“…In addition, this paper proposes a Weighted Moving Average Bias Correction (WMA-BC) algorithm for metric post-processing. Comparative experiments with Moving Average (MA) and Moving Variance (MV) based SQM methods demonstrate that the WMA-BC algorithm achieves substantial advantages in Detection Rate enhancement and significantly improves the Area Under Curve (AUC) of the Receiver Operating Characteristic (ROC). …”
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2167
Two-Dimensional Iterative Processing for DAB Receivers Based on Trellis-Decomposition
Published 2012-01-01“…The advantage of non-iterative methods is that their forwardbackward procedures are extremely simple; however, also their gain of 0.7 dB, relative to two-symbol differential detection (2SDD) at a BER of 10-4, is modest. Iterative procedures lead to the significantly larger gain of 3.7 dB at a BER of 10-4 for five iterations, where a part of this gain comes from 2D processing. …”
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2168
IMPLEMENTATION OF THE SLUDGE BIOTIC INDEX FOR CONTROL AND OPTIMIZATION OF THE BIOLOGICAL TREATMENT PROCESS
Published 2024-09-01“…The Sludge Biotic Index is a tool for quantitatively evaluating the functionality of sludge, allowing for monitoring and detection of critical conditions that may affect the quality of wastewater treatment. …”
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2169
A systematic survey: role of deep learning-based image anomaly detection in industrial inspection contexts
Published 2025-06-01“…To advance intelligent manufacturing, sophisticated methods for high-quality process inspection are indispensable. This paper presents a systematic review of existing deep learning methodologies specifically designed for image anomaly detection in the context of industrial manufacturing. …”
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2170
Disassembly of Distribution Transformers Based on Multimodal Data Recognition and Collaborative Processing
Published 2024-12-01“…This paper presents a transformer disassembly system designed for power systems, leveraging multimodal perception and collaborative processing. By integrating 2D images and 3D point cloud data captured by RGB-D cameras, the system enables the precise recognition and efficient disassembly of transformer covers and internal components through multimodal data fusion, deep learning models, and control technologies. …”
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2171
Dataset Generation Process for Enhancing Depth Estimation Network in Autonomous Driving
Published 2024-01-01“…This paper introduces a novel dataset generation process that uses Light Detection and Ranging (LiDAR) mapping to enhance the quality of depth datasets. …”
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2172
Pupillometry: A Simple and Automatic Way to Explore Implicit Cognitive Processing
Published 2025-04-01“…We believe this protocol could be adapted to unveil the automatic processing of emotions and other attributes in social signals and further assist the early detection of social-cognitive disorders (e.g., autism).…”
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2173
Techniques for Accelerometer Reading Processing on Railway Transport Using Wavelet Transform
Published 2024-03-01“…These methods provide for time-frequency localization for irregularity detection and measurement.Results. Algorithms for vibrational signal processing using the continuous and discrete-time wavelet transform are proposed. …”
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2174
Heat Transfer Process of HVDC Submarine Cables under Transient Load
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2175
Understanding the flowering process of litchi through machine learning predictive models
Published 2025-05-01“…The machine learning algorithms can handle high-dimensional nonlinear data with complex interactions, outperform traditional statistical models in ecology, and have been effectively used for plant classification, phenology detection, crop growth detection, and yield prediction. …”
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2176
Incorporation of doxorubicin into plant-derived nanovesicles: process monitoring and activity assessment
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2177
ACTIVITY OF NITRO-OXIDATIVE PROCESSES IN PREGNANT WOMEN WITH IDIOPATHIC ARTERIAL HYPOTENSION
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2178
Large errors in soil carbon measurements attributed to inconsistent sample processing
Published 2025-01-01“…Detecting a true change in SOC after a management shift has occurred, specifically in agricultural lands, is difficult as it requires robust soil sampling and soil processing procedures. …”
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2179
Optimization of the extraction process and combined determination of antibacterial ingredients of Li Peng
Published 2016-01-01“…Using Lichrospher C<sub>18</sub> column (150 mm × 4.6 mm,5 μm), methanol-0.1% phosphoric acid solution as the mobile phase, the flow rate of 1 mL/min, the detection wavelength at 280 nm, column temperature of 30℃ with the gradient elution program, the gallic acid, protocatechuic acid, and quercetin content in Li Peng could be better determined. …”
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2180
GATEKEEPER Platform: Secure Processing Environment for European Health Data Space
Published 2025-01-01“…However, there are certain challenges associated with compliance to EHDS, such as secure continuous integration (CI) and continuous delivery (CD), scalability and adaptability towards new technologies and applications, tolerance against IoT cyber-attacks, requirement of advanced data storage methods, processing power, interoperability solutions for data analysis and connectivity. …”
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