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MF-YOLOv10: Research on the Improved YOLOv10 Intelligent Identification Algorithm for Goods
Published 2025-05-01Get full text
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142
Substation Equipment Defect Detection Based on Improved YOLOv8
Published 2025-05-01Get full text
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143
DP-YOLO: A Lightweight Real-Time Detection Algorithm for Rail Fastener Defects
Published 2025-03-01Get full text
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144
Attention-Based Lightweight YOLOv8 Underwater Target Recognition Algorithm
Published 2024-11-01Get full text
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145
SPL-PlaneTR: Lightweight and Generalizable Indoor Plane Segmentation Based on Prompt Learning
Published 2025-04-01Get full text
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146
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Doubly Structured Data Synthesis for Time-Series Energy-Use Data
Published 2024-12-01Get full text
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148
Reduction of Vision-Based Models for Fall Detection
Published 2024-11-01“…We proceeded to use image sequences as video frames, using data from two open source datasets, and we applied the Sparse Low Rank Method to reduce certain layers of the Convolutional Neural Networks that were the backbone of the models. Additionally, we chose to replace a convolutional block with Long Short Term Memory to consider the latest updates of these data sequences. …”
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149
Enhancing Microservice Security Through Vulnerability-Driven Trust in the Service Mesh Architecture
Published 2025-02-01Get full text
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Generalized real-time state of health estimation for lithium-ion batteries using simulation-augmented multi-objective dual-stream fusion of multi-Bi-LSTM-attention
Published 2025-03-01“…Battery sensor data is first preprocessed utilizing novel energy discrepancy aware variable cycle length synchronization and grid encoding schemes to achieve generalizability considering battery sets with different discharge profiles and then passed through two parallel networks: overlapped data splitting (ODS)-based attention integrated multi-Bi-LSTM network (ODS-multi-ABi-LSTM) and past cycles’ SOHs (PCSs)-based attention integrated multi-Bi-LSTM (PCS-multi-ABi-LSTM) network. …”
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153
Smart wireless low power valve positioner dedicated for use in aviation laboratories
Published 2025-06-01“…Research shows that designed valve positioner controller enables the system to reach control accuracy many times higher than typical valve positioners available on the market and could operate directly with external sensors. Moreover, low power design approach enables valve positioner to operate for months without battery replacement. …”
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154
Advancements in energy harvesting techniques for sustainable IoT devices
Published 2025-06-01“…The batteries that run these wireless sensors have a limited lifespan, rapidly drain, and need replacement. …”
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155
A Novel FECAM-iTransformer Algorithm for Assisting INS/GNSS Navigation System during GNSS Outages
Published 2024-09-01“…While there has been considerable research into using neural networks to replace the GNSS signal output during such interruptions, these approaches often lack targeted modeling of sensor information, resulting in poor navigation stability. …”
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156
Automation of a wind tunnel for the calibration of anemometers of the National Meteorological Service
Published 2025-06-01“…In this way, the wind sensor calibration process is optimized to meet the demands of the automatic stations network and the anemometer systems installed across the country.…”
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157
YOLOv5-DTW: Gesture recognition based on YOLOv5 and dynamic time warping for digital media design
Published 2025-06-01“…VGG-16 is then used as a prototype of the recognition network, adding a normalization layer and replacing the activation function to accelerate convergence and prevent over-fitting. …”
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G-ROBOT: An Intelligent Greenhouse Seedling Height Inspection Robot
Published 2022-01-01“…The robot structure mainly consists of a multiterrain replacement chassis, an electronic control lift image acquisition support, and a quick disassembly mechanism. …”
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Towards Sustainable and Intelligent Machining: Energy Footprint and Tool Condition Monitoring for Media-Assisted Processes
Published 2023-05-01“…The results indicated that the network is capable of correctly classifying the tool condition with over 90% accuracy.…”
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