An Improved Integrity Monitoring Algorithm for GNSS Ｒeceiver by CHEN Ke-xun, ZHANG Xue-ying, QIU Wei

“…In view of the problem that the availability judgment process of traditional GNSS receiver integrity monitoring algorithm is too conservative，and the error protection level value is too large，resulting in poor availability，the availability judgment process of the traditional algorithm is optimized，the dynamic allocation method of the missed detection rate according to difficulty of satellite fault detection，and corresponding calculation method about VPL are given. …”
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Detect material volume by fusing heterogeneous camera target detection and depth estimation information by Wei Tian, Xuecong Cheng, Yipeng Zhang, Huazhi Lin

“…To combine the advantages of monocular and binocular measurements, this paper proposes an algorithm that integrates heterogeneous camera depth estimation and target detection information to realize material volume detection. …”
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An Environment Recognition Algorithm for Staircase Climbing Robots by Yanjie Liu, Yanlong Wei, Chao Wang, Heng Wu

“…Currently, while there are LiDAR-based algorithms that focus either on step geometry detection or scene mapping, few comprehensive algorithms exist that address both step geometry perception and scene mapping for staircases. …”
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Prediction of Hypertension Patients with Machine Learning Algorithm by Eko Priyono

“…This paper aims to develop a hypertension prediction system using the Decision Tree and Random Forest algorithms, which are machine learning techniques used to solve classification and regression problems. …”
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Parallelization of the Bison Algorithm Applied to Data Classification by Simone A. Ludwig, Jamil Al-Sawwa, Aaron Mackenzie Misquith

“…This paper presents the Bison Algorithm, applied to classification problems. The algorithm, inspired by the social behavior of bison, aims to enhance the accuracy of classification tasks. …”
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A Cuckoo Search Algorithm for Multimodal Optimization by Erik Cuevas, Adolfo Reyna-Orta

“…On the other hand, the cuckoo search (CS) algorithm is a simple and effective global optimization algorithm which can not be directly applied to solve multimodal optimization problems. …”
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Impossibility Results for Byzantine-Tolerant State Observation, Synchronization, and Graph Computation Problems by Ajay D. Kshemkalyani, Anshuman Misra

“…This paper considers the solvability of several fundamental problems in asynchronous message-passing distributed systems in the presence of Byzantine processes using distributed algorithms. …”
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Improved Optimized Minimum Generalized L_p/L_q Deconvolution and Application to Bearing Fault Detection by Na Yang, Zhigang Pan, Yuanbo Xu

“…The enhanced technique employs an advanced sparrow search algorithm to automatically ascertain the filter length, doing away with the need for a predetermined fixed value. …”
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Review of Multivariate Time Series Clustering Algorithms by ZHENG Desheng, SUN Hanming, WANG Liyuan, DUAN Yaoxin, LI Xiaoyu

“…For each category of detection technology, a detailed summary is provided, covering algorithm principles, representative methods, advantages and disadvantages, and the problems they address. …”
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APPLICATION OF THE WORD2VEC ALGORITHM FOR CLINICAL DIAGNOSIS DETERMINATION by Uzeyir Gurbanli

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OPTIMIZATION OF THE PROBABILISTIC ALGORITHM FOR RESOLVING AIRSPACE CONFLICTS by Gabriela STROE, Mihaela-Luminita COSTEA, Augustin SEMENESCU

“…In this proposed new form, the algorithm takes into account the previously detected problems and proposes to solve all these problems that inevitably appeared in the process of scientific research.…”
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An effective algorithm for measuring diastolic artery diameters by A.P.G. HOEKS, Xu DI, P.J. BRANDS, R.S. RENEMAN

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Research on demodulation technology of fiber Bragg grating sensor based on generalized regression neural network by XIA Xiang, LI Xianliang, PAN Hua, YAN Dong, ZHANG Xiaofeng, ZHANG Yunhui

“…Aiming at the problems of large error and poor stability of traditional wavelength demodulation of fiber Bragg grating sensor, a wavelength peak detection method of fiber Bragg grating sensor based on generalized regression neural network and improved particle swarm optimization algorithm is proposed. …”
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An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images by S. Nagadevi, G. Abirami, R. Brindha, T. Prabhakara Rao, Gyanendra Prasad Joshi, Woong Cho

“…Deep learning (DL) methods are essential for processing security problems in UAV networks. This paper presents a Privacy-Preserving Intrusion Detection Model for UAV-Based Remote Sensing Applications in Land Cover Classification Using Multilevel Fusion Feature Engineering (IDUAVRS-LCCMFFE) technique. …”
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SFFNet: Shallow Feature Fusion Network Based on Detection Framework for Infrared Small Target Detection by Zhihui Yu, Nian Pan, Jin Zhou

“…However, due to complex backgrounds and the loss of information in deep networks, infrared small target detection remains a difficult undertaking. To solve the above problems, we present a shallow feature fusion network (SFFNet) based on detection framework. …”
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Optimization of the Weight Processing Algorithm in Multichannel Doppler Filtering by V. I. Koshelev, Ngoc Hieu Trinh

“…However, the implementation of multi-channel Doppler filtering (MDF) based on the classical fast Fourier transform (FFT) algorithm of non-equidistant signal samples in the signal detection problem is associated with energy losses. …”
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A Combined Antijamming and Antispoofing Algorithm for GPS Arrays by Qiong Yang, Yi Zhang, Chengkai Tang, Jie Lian

“…We analyse three aspects of algorithmic performance: the antenna array direction diagram, the spoofing detection and the acquisition results. …”
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Improved K-Means Algorithm for Nearby Target Localization by Zongwen Yuan, Xingdi Wang, Fuyang Chen, Xicheng Ma

“…In the K-means algorithm, we integrate a quartile range anomaly detection algorithm to address interference signal issues. …”
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Cognitive Radio for Smart Grid: Theory, Algorithms, and Security by Raghuram Ranganathan, Robert Qiu, Zhen Hu, Shujie Hou, Marbin Pazos-Revilla, Gang Zheng, Zhe Chen, Nan Guo

“…From the power system point of view, a supervised learning method called support vector machine (SVM) is used for the automated classification of power system disturbances. The impending problem of securing the smart grid is also addressed, in addition to the possibility of applying FPGA-based fuzzy logic intrusion detection for the smart grid.…”
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Infrared image monitoring algorithm for converter valve equipment by Jiashui Dai, Fali Tan, Yi Jiang, Yunlong Liang, Kangquan Lin, Kai Tong

“…Traditional converter valve monitoring methods have problems of inefficiency and failure to detect potential faults in time, which may lead to equipment damage or system failure. …”
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