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Research progress of deep learning-based object detection of optical remote sensing image
Published 2022-05-01“…Object detection is the core issue in the interpretation of optical remote sensing images, and it is widely used in fields such as intelligence reconnaissance, target monitoring, and disaster rescue.Firstly, combined with the research progress of deep learning optical remote sensing image object detection algorithms, the two types of algorithms based on candidate regions and regression analysis were reviewed.Secondly, the improvement of object detection algorithms for four types of common task-specific scenes were summarized, including rotating objects, small objects, multi-scales, and dense objects.Then, combined with commonly used remote sensing image data sets, the performance of different algorithms was compared and analyzed.Finally, the issues worthy of attention in remote sensing image object detection in the future were prospected, and ideas for follow-up related research were provided.…”
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2044
Research on the Model of Industrial Interconnection Intelligent Manufacturing Supply and Demand Network and Its Robustness
Published 2022-01-01“…The experimental results show that under the four different attack algorithms, compared with the BA model, the two models proposed in this paper have stronger robustness. …”
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2045
Progress and Challenges in Research on Key Technologies for Laser Weed Control Robot-to-Target System
Published 2025-04-01“…This review systematically compares the mainstream recognition algorithms for the needs of laser weeding for specific parts, reveals the performance bottleneck of the existing algorithms in the laser weeding environment, and points out new research directions, such as developing weed apical growth zone recognition algorithms. …”
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2046
Research on high-resolution processing of frequency modulation combined signal for active sonar detection
Published 2025-03-01Get full text
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2047
Research on series arc fault detection method household loads based on voltage signals
Published 2025-07-01Get full text
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2048
Research on a Bone Stick Fragment Stitching Method Based on Improved Corner Detection
Published 2025-04-01“…Experimental results show that compared with other algorithms, the average proportion of broken corners when using the method in this paper is increased by about 44.89%, and the average comprehensive weighted similarity is increased by about 32.42%, which meets the needs of bone stick fragment stitching.…”
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2049
An open-access EEG dataset from indigenous African populations for schizophrenia researchZenodo
Published 2025-10-01“…By uniting ancestral diversity, multi-task paradigms and minimal preprocessing, ASZED-153 will allow researchers audit ancestry-linked performance drift in existing classifiers, probe biomarkers that may be masked in Euro-Asian cohorts, benchmark algorithms across hardware heterogeneity, and prototype reproducible, open science workflows.ASZED-153 is openly available via Zenodo under a CC-BY licence, and contributions to future releases are welcomed. …”
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2050
Predicting Diabetes Risk Using Machine Learning: A Comparative Study on the Yazd Health Study (YaHS)
Published 2025-07-01Get full text
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2051
Temporal betweenness centrality on shortest walks variants
Published 2025-04-01“…We compare the results of the two variants on both the node and time dimensions of the temporal graph, and we also compare the temporal betweenness centrality to its static counterpart. …”
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2052
A hybrid deep learning and differential evolution approach for accurate fake news detection
Published 2025-12-01“…Experimental results on benchmark datasets demonstrate that the hybrid approach achieves superior accuracy, precision, recall, and F1-score compared to existing methods such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and standalone deep learning models. …”
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2053
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HGAPSO-Based Third Order-SMC, ST-SMC, and SMC Strategy for AAV Control: A Comparative Analysis
Published 2025-01-01“…The study of the control of quadrotors was addressed extensively in different AAV research areas. In this work, the nonlinear dynamic model of the quadrotor has been developed using the Newton-Euler technique. …”
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