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Investigation of outlier detection algorithm
Published 2005-12-01“…The results demonstrate the possibilities to improve the performance of computation and the stability of the outlier detection algorithm. …”
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ALGORITHM FOR EARLY CANCER DETECTION IN CHILDREN
Published 2020-10-01“…The purpose of the study was to develop algorithms for early cancer detection in children.Material and Methods. …”
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An Algorithm to Automatically Detect the Smale Horseshoes
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Image forgery detection algorithm based on U-shaped detection network
Published 2019-04-01“…Aiming at the defects of traditional image tampering detection algorithm relying on single image attribute,low applicability and current high time-complexity detection algorithm based on deep learning,an U-shaped detection network image forgery detection algorithm was proposed.Firstly,the multi-stage feature information in the image by using the continuous convolution layers and the max-pooling layers was extracted by U-shaped detection network,and then the obtained feature information to the resolution of the input image through the upsampling operation was restored.At the same time,in order to ensure higher detection accuracy while extracting high-level semantic information of the image,the output features of each stage in U-shaped detection network would be merged with the corresponding output features through the upsampling layer.Further the hidden feature information between tampered and un-tampered regions in the image upon the characteristics of the general network was explored by U-shaped detection network,which could be realized quickly by using its end-to-end network structure and extracting the attributes of strong correlation information among image contexts that could ensure high-precision detection results.Finally,the conditional random field was used to optimize the output of the U-shaped detection network to obtain a more exact detection results.The experimental results show that the proposed algorithm outperforms those traditional forgery detection algorithms based on single image attribute and the current deep learning-based detection algorithm,and has good robustness.…”
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Image forgery detection algorithm based on U-shaped detection network
Published 2019-04-01“…Aiming at the defects of traditional image tampering detection algorithm relying on single image attribute,low applicability and current high time-complexity detection algorithm based on deep learning,an U-shaped detection network image forgery detection algorithm was proposed.Firstly,the multi-stage feature information in the image by using the continuous convolution layers and the max-pooling layers was extracted by U-shaped detection network,and then the obtained feature information to the resolution of the input image through the upsampling operation was restored.At the same time,in order to ensure higher detection accuracy while extracting high-level semantic information of the image,the output features of each stage in U-shaped detection network would be merged with the corresponding output features through the upsampling layer.Further the hidden feature information between tampered and un-tampered regions in the image upon the characteristics of the general network was explored by U-shaped detection network,which could be realized quickly by using its end-to-end network structure and extracting the attributes of strong correlation information among image contexts that could ensure high-precision detection results.Finally,the conditional random field was used to optimize the output of the U-shaped detection network to obtain a more exact detection results.The experimental results show that the proposed algorithm outperforms those traditional forgery detection algorithms based on single image attribute and the current deep learning-based detection algorithm,and has good robustness.…”
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Research on Collision Detection Algorithm of Dual Manipulator
Published 2021-01-01“…In order to ensure the safety of dual manipulator in public space， an accurate and efficient collision detection algorithm is proposed. The sphere and capsule bounding boxes are used to simplify the manipulator model， and the collision is judged according to the intersection between the bounding boxes. …”
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Algorithm of fire detection for multi-sensor system
Published 2021-11-01“…The paper proposes a fire detection algorithm for a multisensor system. Due to the difficult conditions in the field, for the first time, watch rescue operations are difficult and often endanger the lives of rescuers. …”
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Improvement Algorithm of ViBe in Moving Target Detection
Published 2022-02-01“…Aiming at the problem that Visual Background Extractor（ViBe） algorithm is not sensitive to light mutation and is mistakenly detected as foreground due to a large number of high-frequency disturbed objects in the background, an improved method is proposed based on the classical ViBe algorithm. …”
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Deep Learning-Based Object Detection Algorithms
Published 2025-01-01“…With the development of deep learning, Object detection algorithms have seen significant enhancements in both speed and accuracy, leading to extensive adoption across various domains, including autonomous driving, drone surveillance, and security monitoring. …”
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Recursive Sentiment Detection Algorithm for Russian Sentences
Published 2022-06-01“…The article introduces a rule-based sentiment detection algorithm for Russian sentences. The algorithm is based on the assumption that the sentiment of a phrase can be determined by the sentiments of its parts by the recursive application of appropriate semantic rules to the sentiments of its parts organized as a constituency parse tree. …”
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Negative Selection Algorithm for Unsupervised Anomaly Detection
Published 2024-11-01Subjects: “…anomaly detection…”
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Binocular Vision-Based Target Detection Algorithm
Published 2025-01-01“…In the field of target detection, algorithms are challenged with multi-objective optimization problems in identifying detection targets, and it is also crucial to improve the recognition of small and insignificant targets. …”
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PFW-YOLO Lightweight Helmet Detection Algorithm
Published 2025-01-01“…Therefore, a lightweight helmet detection algorithm PFW YOLO is proposed in this paper. …”
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Shot boundary detection algorithm based on ORB
Published 2013-11-01“…Experi-ment results show that the proposed algorithm is effective to solve false and miss detection caused by the above problems, with a sharp rise in procession speed.…”
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Pupil Detection Algorithm Based on ViM
Published 2025-06-01“…In this paper, we propose a novel pupil detection algorithm, ViMSA, based on the ViM model. …”
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Asynchronous perception algorithm based on energy detection
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Efficient attack detection and data aggregation algorithm
Published 2012-09-01“…An efficient algorithm of attack detection and data aggregation for wireless multimedia sensor networks based on the previous work was proposed.The proposed algorithm concludes the action trait of sensor nodes from their attribute vectors without any prior knowledge,at the same time;it was scalable and could be applied in large scale net-works.The simulation results show that the proposed algorithm can detect the attacks action more accurate than other technologies,and can make data aggregation efficiently.At the same time,the proposed algorithm can make the wireless multimedia sensor networks secure and reduce communication flow so that it will save a lot of resources in wireless mul-timedia sensor networks.…”
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An Algorithm for the Detection of Circular Elements in Engineering Design
Published 2020-04-01Subjects: Get full text
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