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Multi-Scale Feature Pyramid Network With Camera Artifact Augmentation for Pedestrian Detection
Published 2025-01-01“…From the result analysis it was observed that batch size 16 is optimal batch size and variant YOLOV10n is the most accurate and YOLOV10s is the fastest version. …”
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62
Diffusion based multi-domain neuroimaging harmonization method with preservation of anatomical details
Published 2025-08-01“…In multi-center neuroimaging studies, the technical variability caused by the batch differences could hinder the ability to aggregate data across sites, and negatively impact the reliability of study-level results. …”
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63
Multi-replica provable data possession scheme supporting data dynamic updating
Published 2014-11-01“…Considering the application demand of multiple replicas data security and data dynamic update,a multi-replica provable data possession scheme was proposed to supporting data dynamic updating.The original data file can be dynamically updated using dynamic verification structure.The other multiple-replica data files are just append with a log-record for each dynamic update operation.The multi-replica files support public auditability and batch verification.If the original data or any replica is corrupted or missing,it can be recovered to the latest status with another copy.The performances of the communication and storage as well as the security are analyzed.The results show that the scheme is efficient and secure.…”
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64
A high-speed interconnection mechanism based on multi-hosts memory mapping
Published 2025-06-01“…Combined with the PCIe Multi-hosts memory segment mapping method, it implements the functions of memory sharing, reflection memory, RDMA and other functions between the nodes. …”
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65
MCC: Multi-Cluster Contrastive Semi-Supervised Segmentation Framework for Echocardiogram Videos
Published 2025-01-01“…Leveraging contrastive loss to enhance foreground feature extraction, our method incorporates multi-cluster contrastive loss to utilize multiple annotated ground-truths per batch and an anchor frame selection algorithm to improve segmentation performance. …”
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66
Multi-Stage Adversarial Defense for Online DDoS Attack Detection System in IoT
Published 2025-01-01“…The existing defence technique primarily focuses on batch learning- based DDoS attack detection systems, that are not equipped to handle multiple and unknown adversarial attacks in real time. …”
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67
Fusion vs. Isolation: Evaluating the Performance of Multi-Sensor Integration for Meat Spoilage Prediction
Published 2025-05-01“…Improvement in aerobic, vacuum, and mixed aerobic/vacuum chicken spoilage scenarios was observed, with performance enhanced by up to 15%. The improved cross-batch performance of these models proves an enhanced model robustness using the presented multi-sensor fusion approach. …”
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68
Simulation and Analysis of the Constraint Effects of Multi-Cavity Double Steel Plate Composite Walls
Published 2025-05-01“…Multi-cavity double steel plate–concrete composite structures are composed of two layers of steel plates, accompanied by steel flanges, diaphragms, and a core of concrete. …”
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69
Optimal Scheduling of the Wine-Bottling Process: A Multi-Dependency Model with Hydraulic Considerations
Published 2025-04-01Get full text
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70
Multi‐Omics Analysis Reveals Impacts of LincRNA Deletion on Yeast Protein Synthesis
Published 2025-04-01Get full text
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71
Dual-stream interactive mechanism with multi-modal hierarchical aggregation transformer for gait recognition
Published 2025-07-01“…This mechanism incorporates batch normalization and residual connections to ensure stable and effective feature extraction. …”
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72
Analysis of <i>BMAP</i>/<i>PH</i>/<i>N</i>-Type Queueing System with Flexible Retrials Admission Control
Published 2025-04-01“…This research examines a multi-server retrial queueing system with a batch Markov arrival process and a phase-type service time distribution. …”
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73
Segmentation Performance and Mapping of Dunes in Multi-Source Remote Sensing Images Using Deep Learning
Published 2025-03-01“…The results indicate that (1) the batch size significantly affects model optimization. …”
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74
Multi-function supported privacy protection data aggregation scheme for V2G network
Published 2023-04-01“…In view of the problem that the functions of the current privacy protection data aggregation scheme were insufficient to meet the increasingly rich application requirements, a multi-function supported privacy protection data aggregation (MFPDA) scheme for V2G network was proposed.By using cryptographic algorithms such as BGN, BLS, and Shamir’s secret sharing, as well as fog computing and consortium blockchain technology, multiple security functions like fault tolerance, resistance to internal attacks, batch signature verification, no need for trusted third parties, and multiple aggregation functions were integrated into one privacy protection data aggregation scheme.Security analysis shows that the proposed scheme can protect data aggregation’s security, privacy and reliability.The performance evaluation shows that the introduction of fog computing can significantly reduce the computing overhead of the control center, and the reduction rate can be as high as 66.6%; the improvement of the consortium blockchain can effectively reduce the communication and storage overhead of the system, and the reduction rate can reach 16.7% and 24.9% respectively.…”
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75
Multi-function supported privacy protection data aggregation scheme for V2G network
Published 2023-04-01“…In view of the problem that the functions of the current privacy protection data aggregation scheme were insufficient to meet the increasingly rich application requirements, a multi-function supported privacy protection data aggregation (MFPDA) scheme for V2G network was proposed.By using cryptographic algorithms such as BGN, BLS, and Shamir’s secret sharing, as well as fog computing and consortium blockchain technology, multiple security functions like fault tolerance, resistance to internal attacks, batch signature verification, no need for trusted third parties, and multiple aggregation functions were integrated into one privacy protection data aggregation scheme.Security analysis shows that the proposed scheme can protect data aggregation’s security, privacy and reliability.The performance evaluation shows that the introduction of fog computing can significantly reduce the computing overhead of the control center, and the reduction rate can be as high as 66.6%; the improvement of the consortium blockchain can effectively reduce the communication and storage overhead of the system, and the reduction rate can reach 16.7% and 24.9% respectively.…”
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76
Production of multi-subunit proteins in CHO cells by transposase-mediated integration of subunit-splitting vectors
Published 2025-05-01“…This study highlights the potential usefulness of the Tol2 transposon system in producing multi-subunit proteins, such as bispecific antibodies and Fc-fusion proteins, thereby promoting advancements in biopharmaceutical production.…”
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77
Smart fiber with overprinted patterns to function as chip-like multi-threshold logic switch circuit
Published 2025-08-01“…Herein, we present a smart fiber with multilayers of overprinted patterns, composed of many small units with 0.3 mm long to function as a one-dimension (1D) array of chip-like multi-threshold logic-switch circuit. Via soft contact of curved surfaces between fiber and ink-droplet, an overprinting method is developed for stacking different layers of patterns with a line width of 75 μm in a staggered way, enabling batch production of circuit units along one long fiber. …”
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78
Hybrid Clustering-Enhanced Brain Storm Optimization Algorithm for Efficient Multi-Robot Path Planning
Published 2025-05-01“…Notably, in large-scale, multi-task scenarios, HC-BSO consistently generates high-quality, conflict-free paths, demonstrating superior stability, convergence, and scalability.…”
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79
Hybrid Multi-Criteria Decision Making for Additive or Conventional Process Selection in the Preliminary Design Phase
Published 2024-10-01“…This investigation provides a hybrid multi-criteria decision-making method (MCDM) for comparing AM and conventional processes. …”
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