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Haar Cascade Classifier and Adaboost Algorithm for Face Detection with the Viola-Jones Method
Published 2025-03-01“…This study explores the effectiveness of the Haar Cascade Classifier method optimized with Adaboost to improve the accuracy and efficiency of face detection in various head covering conditions. …”
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223
Flexi-YOLO: A lightweight method for road crack detection in complex environments.
Published 2025-01-01Get full text
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224
Comprehensive quality detection method for tomatoes combining machine vision and spectral techniques
Published 2024-09-01“…Complete tomato internal quality grading through preprocessing methods, feature extraction methods, and improved particle swarm optimization using least squares support vector machine. …”
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225
Tea Disease Detection Method Based on Improved YOLOv8 in Complex Background
Published 2025-07-01Get full text
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226
Rice disease detection method based on multi-scale dynamic feature fusion
Published 2025-05-01Get full text
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227
Real time wire rope detection method based on Rockchip RK3588
Published 2025-08-01Get full text
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228
YOLO-SDD: An Effective Single-Class Detection Method for Dense Livestock Production
Published 2025-04-01Get full text
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229
Object detection with afordable robustness for UAV aerial imagery: model and providing method
Published 2024-08-01“…Methods. Combination of ideas and methods for dynamic neural networks, and methods for robustness and resilience optimization for neural networks. …”
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230
A Weak Signal Detection Method for Bearing Based on QGA and Stochastic Resonance
Published 2020-06-01“…Aiming at the problems that the vibration signal is weak and the SNR is low in its early failure stage of rolling bearing, a weak signal detection method combining Quantum Genetic Algorithm (QGA) and Stochastic Resonance is proposed, which improves SNR and identifies fault location. …”
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231
A Moving Object Detection Method Based on Conditional Information and Feature Deepening
Published 2025-01-01“…In the field of moving object detection methods relying on generative adversarial networks, there are problems such as uncontrollable generation results and incomplete extraction of target details. …”
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232
Detecting the Corrosion of a Steel Rebar Using the Eddy Current Testing Method
Published 2024-12-01“…We examined the effects of excitation frequency, coil type, and coil size on the experimental results to optimize the system. The signal-to-noise ratio and the detection depth were improved with a specially designed probe.…”
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233
Typical battlefield infrared background detection method based on multi band fusion
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234
Study of the Method of Multi-Frequency Signal Detection Based on the Adaptive Stochastic Resonance
Published 2013-01-01“…However, the detection methods of the multifrequency weak signals need to be researched. …”
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235
Unsupervised Machine Learning for Effective Code Smell Detection: A Novel Method
Published 2024-12-01“…This method is especially beneficial in situations where labeled data is scarce or unavailable and can be used to identify new code smells, generate labeled data for SML and detect multiple code smells simultaneously within a codebase.…”
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236
Detection of UAV GPS Spoofing Attacks Using a Stacked Ensemble Method
Published 2024-12-01“…To address this issue, we propose a detection method based on stacked ensemble learning that combines convolutional neural network (CNN) and extreme gradient boosting (XGBoost) to detect spoofing signals in the GPS data received by UAVs. …”
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237
Electrochemical detection of furosemide and its removal from wastewater using adsorption method
Published 2025-07-01“…The sensor was found to exhibit the qualities of repeatability, reproducibility, recovery and selectivity, achieving a limit of detection of 10 pM for the targeted drug. For wastewater purification from furosemide, an environmentally benign method was introduced using macroporous biocryogel, which was synthesized and characterized by XRD, FTIR and SEM. …”
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238
A Lightweight Detection Method for Meretrix Based on an Improved YOLOv8 Algorithm
Published 2025-06-01“…Clam farms are typically located in remote areas with limited computational resources, making it challenging to deploy traditional deep learning-based object detection methods due to their large model size and high computational demands. …”
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239
Fault detection for Li-ion batteries of electric vehicles with segmented regression method
Published 2024-12-01“…Abstract Electric vehicles are increasingly popular for their environmental benefits and cost savings, but the reliability and safety of their lithium-ion batteries are critical concerns. Current regression methods for battery fault detection often analyze charging and discharging as a single continuous process, missing important phase differences. …”
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Tomato ripeness detection method based on FasterNet block and attention mechanism
Published 2025-06-01“…Traditional detection methods rely on manual experience, which is time-consuming, inefficient, and prone to subjective interference, making them unsuitable for large-scale production. …”
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