ConsensuSV-ONT – A modern method for accurate structural variant calling by Antoni Pietryga, Mateusz Chiliński, Sachin Gadakh, Dariusz Plewczynski

“…Abstract Improvements in sequencing technology make the development of new tools for detection of structural variance more and more common. …”
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New Method of Image Background Suppression Based on Soft Morphology and Retinex Theory by Lili Zhang, Tanghuai Fan, Xin Wang, Cheng Kong, Xijun Yan

“…To solve this problem, this paper presents a background suppression method based on soft morphology and Retinex theory. …”
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An Accurate Optimized Contour Segmentation Model for Green Spherical Fruits by Ting Zhang, Ying Xu, Kai Cao, Xiude Chen, Qiaolian Liu, Weikuan Jia

“…Accurate fruit detection in complex orchard environments remains challenging due to variable lighting conditions and weather factors. …”
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Hard Example Mining Method for Visual Perception Based on Multi-sensor Fusion by Jun LIN, Wenbo PAN, Jun YOU, Yanghan XU

“…Experiments show that hard samples in the mining autopilot scenes can be effectively collected by this method, and be used to improve the performance of object detection through incremental transfer learning signi ficantly. …”
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An effective method for the abnormal monitoring of stage performance based on visual sensor network by Fuquan Zhang, Gangyi Ding, Lin Xu, Bo Chen, Zuoyong Li

“…Through the background subtraction, the weighted threshold-based segmentation of the target image from the background image, the chaotic search particle swarm optimization algorithm based on image target detection and tracking algorithm for target tracking by mean shift, the abnormal behavior of local linear embedding and detection method based on sparse representation, a comprehensive analysis of the local manifold structure of sample is set. …”
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QuEChERS Method for Simultaneous Determination of Phthalates and Their Metabolites in Aquatic Products by LIN Weijian, ZHANG Yiyan, HUANG Yufang, WANG Jiaojiao, LI Minqian, LÜ Huixiong, HUANG Xiaomei

“…This method is simple to operate, with high sensitivity, providing important technical support for the detection and risk assessment of PAEs and mPAEs in aquatic products.…”
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Data anomaly repair method based on fuzzy voting and multi-segment interpolation by Yanling Lv, Qingdong Han, Shulei Xue

“…Firstly, an outlier detection method based on fuzzy voting theory is proposed, utilizing multiple anomaly detectors to ensure accurate detection of outliers within voluminous datasets. …”
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Research on asynchronous robust federated learning method in vehicle computing power network by YIN Hongbo, WANG Shuai, ZHANG Ke, ZHANG Yin

“…Secondly, a model selection method was designed, and potential malicious model detection and vehicle reputation evaluation methods are proposed to further enhance the robustness of the system. …”
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Modeling and Analysis of Noise Reduction Method in SPAD-Based LiDAR System by Kai Ma, Tao Yin, Na Tian, Zhe Wang, Tian Zhao, Jian Liu, Nanjian Wu, Liyuan Liu

“…A behavioral model is established, enabling the simulation of the comprehensive functionality of a SPAD-based LiDAR system in either first-hit mode or multi-event mode, including the histogramming, coincident detection, time- gating functions. The model can serve as a substitute for the actual circuit in system function validation and parameter optimization, thereby significantly reducing the design and simulation cycle.…”
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ORD-YOLO: A Ripeness Recognition Method for Citrus Fruits in Complex Environments by Zhaobo Huang, Xianhui Li, Shitong Fan, Yang Liu, Huan Zou, Xiangchun He, Shuai Xu, Jianghua Zhao, Wenfeng Li

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K-Complex Detection Based on Synchrosqueezing Transform by Z. Ghanbari, M. H. Moradi

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A New Method for Weak Fault Feature Extraction Based on Improved MED by Junlin Li, Jingsheng Jiang, Xiaohong Fan, Huaqing Wang, Liuyang Song, Wenbin Liu, Jianfeng Yang, Liangchao Chen

“…Moreover, the traditional minimum entropy deconvolution (MED) method has been proved to be used to detect such fault signals. …”
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E-Commerce Image Enhancement Method Based on Instance Segmentation and Background Replacement by Qiang Gao, Huiping Hu, Wei Liu

“…This paper proposes a novel image enhancement method that integrates instance segmentation, dominant color detection, background replacement, realistic shadow generation, and logo addition into a unified framework, optimized for e-commerce product images. …”
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Detection of network anomaly based on hybrid intelligence techniques by Shahbaa Khaleel, Karam mahdi saleh

“…This research focuses on finding out how to make an Intrusion Detection Systems environment learn the preferences and work practices of a security officer, In this research hybrid intelligence system is designed and developed for network intrusion detection, where the research was presented four methods for network anomaly detection using clustering technology and dependence on artificial intelligence techniques, which include a Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to develop and improve the performance of intrusion detection system. …”
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SOI: shape optimization framework for hand-drawn line features in Wemap by Ben Ma, Haowen Yan, Jingzhong Li, Yanzhe Sun, Zhuo Wang, Xiaolong Wang

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Lipid droplet detection in histopathological images using reinforcement learning by Yoshitomi Harada, Haruto Nishida, Keiko Matsuura

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A Fault Identification Method for Electric Submersible Pumps Based on DAE-SVM by Peihao Yang, Jiarui Chen, Hairong Zhang, Sheng Li

“…Compared with existing fault diagnosis methods, our method not only has the advantages of easy extraction of effective data features, higher accuracy, and strong generalization ability but can also detect an abnormal state indicating a coming fault and identify its type, hence enabling the preparation of an appropriate advance solution.…”
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TBDQ: A Pragmatic Task-Based Method to Data Quality Assessment and Improvement. by Reza Vaziri, Mehran Mohsenzadeh, Jafar Habibi

“…The new method detects the potentially risky tasks within a process, and adds new improving tasks to counter them. …”
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A Novel Kinetic Spectrophotometric Method for the Determination of Dopamine in Biological and Pharmaceutical Samples by M. Reza Shishehbore, Adel Asgharpoor, N. Nasirizadeh

“…A sensitive and accurate method for quantitative determination of dopamine was introduced. …”
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Efficient reconfigurable regions management method for adaptive and dynamic FPGA based systems by Marwa Hannachi, Abdesslam B. Abdelali, Hassan Rabah, Abdellatif Mtibaa

“…We will demonstrate how we have made this implementation successful through the use of an appropriate design method. This method was proposed to support the management of variable-size hardware tasks on DPR FPGAs based adaptive systems. …”
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