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1161
CSCP-YOLO: A Lightweight and Efficient Algorithm for Real-Time Steel Surface Defect Detection
Published 2025-01-01“…Finally, the Powerful-IoU loss function is employed to address optimization limitations in the original objective formulation. …”
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1162
Research on X-Ray Weld Defect Detection of Steel Pipes by Integrating ECA and EMA Dual Attention Mechanisms
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1163
THE USE OF CARTOGRAPHIC MATTER FROM OPEN SOURCES FOR MASS ASSESSMENT AT THE PRE-STAGE STUDY OF HYDROPOWER CONSTRUCTION
Published 2016-11-01“…Clarified what objects other than those required by regulatory and technical documents and regulations can be obtained by using the public cadastral map using its various functions: cadastral division maps, raster maps Russian and available on a portal of Earth Remote Sensing Data. …”
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1164
Self-reports map the landscape of task states derived from brain imaging
Published 2025-01-01“…Over the last two decades, studies have shown that introspective descriptions of psychological states correlate with objective indicators of cognition, including task performance and metrics of brain function, using techniques like functional magnetic resonance imaging (fMRI). …”
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1165
Quadrotor Trajectory Planning with Tetrahedron Partitions and B-Splines in Unknown and Dynamic Environments
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1166
MAS-YOLO: A Lightweight Detection Algorithm for PCB Defect Detection Based on Improved YOLOv12
Published 2025-06-01“…Moreover, the original YOLOv12 loss function is replaced with the Slide Alignment Loss (SAL) to improve bounding box localization and detect complex defect types. …”
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1167
Marine fish species recognition based on improved YOLOv5s
Published 2024-08-01“…ObjectiveIn order to improve the recognition accuracy of different kinds of marine fish, an improved YOLOv5s marine fish species recognition method was proposed.MethodsK⁃means++algorithm was used to cluster the real frames of marine fish, and more matching anchor frames were obtained with the self built data set. CIoU Loss function was replaced by SIoU Loss function as the boundary box regression algorithm to improve the accuracy and rate of convergence of the boundary box regression. …”
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1168
AHN-YOLO: A Lightweight Tomato Detection Method for Dense Small-Sized Features Based on YOLO Architecture
Published 2025-06-01“…The key innovations of AHN-YOLO include (1) the introduction of an ADown module to reduce model parameters; (2) the adoption of a Normalized Wasserstein Distance (NWD) loss function to stabilize small-feature detection; and (3) the proposal of a lightweight hybrid attention mechanism, Light-ES, to enhance focus on disease regions. …”
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1169
An Improved YOLOv9s Algorithm for Underwater Object Detection
Published 2025-01-01“…Finally, we employ Wise-IoU version 3 (WIoU v3) as the loss function to balance the loss weights for targets of different sizes. …”
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1170
Body surface gastric mapping to determine gastric motility patterns associated with delayed gastric emptying after pancreaticoduodenectomy. Gastric Electric Mapping after Pancreato...
Published 2022-12-01“…This technique, termed body surface gastric mapping (BSGM), has been validated in normal controls and in patients with functional dyspepsia syndromes. …”
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1171
Continuous map of early hematopoietic stem cell differentiation across human lifetime
Published 2025-03-01“…We identify CD273/PD-L2 to be highly expressed in a subfraction of immature multipotent HSPCs with enhanced quiescence. Functional experiments confirm the immune-modulatory function of CD273/PD-L2 on HSPCs in regulating T-cell activation and cytokine release. …”
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1172
Toward improving precision and complexity of transformer-based cost-sensitive learning models for plant disease detection
Published 2025-01-01“…Furthermore, we adopted the SIoU loss function, a modified version of CIoU, applied to the YOLOv8s model, demonstrating a substantial improvement in accuracy. …”
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1173
A low illumination target detection method based on a dynamic gradient gain allocation strategy
Published 2024-11-01“…This method optimizes the model through enhancements in multi-scale feature fusion, feature extraction, detection head, and loss function. Firstly, efficient multi-scale feature fusion is performed by using a new neck structure in the original model so that it can fully exchange high-level semantic information and low-level spatial information. …”
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1174
Dynamic hand and finger load distribution patterns in the first year following surgically treated distal radius fracture
Published 2025-05-01“…Thereby, dynamic hand grip function is objectivated, providing a more detailed insight than with other clinical assessment tools. …”
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1175
Study of signal transduction factors involved in mycoparasitic response of Trichoderma atroviride
Published 2004-07-01“…To identify the function and involvement of these factors in mycoparasitism by T. atroviride, tmk1, tga1, tga3 disruptant strains were produced. …”
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1176
Genome-Wide Characterization and Functional Analysis of <i>CsDOF</i> Transcription Factors in <i>Camellia sinensis</i> cv. Tieguanyin Under Combined Heat–Drought Stress
Published 2025-06-01“…Tertiary structure analysis of CsDOF proteins revealed diverse structures, underscoring the functional variability within the <i>CsDOF</i> gene family. …”
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1177
Harnessing miRNA dynamics in HIV-1-infected macrophages: Unveiling new targeted therapeutics using systems biology
Published 2025-01-01“…Gene Ontology molecular function analysis was also conducted on the identified targets. …”
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1178
Deciphering the alteration of MAP2 interactome caused by a schizophrenia-associated phosphorylation
Published 2024-12-01“…Microtubule-associated protein 2 (MAP2) is a crucial regulator of dendritic structure and neuronal function, orchestrating diverse protein interactions within the microtubule network. …”
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1179
CHILDREN’S MAP READING ABILITIES IN RELATION TO DISTANCE PERCEPTION, TRAVEL TIME AND LANDSCAPE
Published 2022-01-01“… Children’s cognition of distance is influenced by functional distance and estimations of travel time which increases with the presence of natura l or artificial barriers. …”
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1180
A MapReduce-Based Decision-Making Approach for Multiple Criteria Sorting
Published 2025-04-01“…The proposed approach utilizes an additive piecewise-linear value function as the underlying preference model, with model parameters inferred from assignment examples on a subset of reference alternatives through the application of preference disaggregation principles. …”
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