Statistical methods used to test for agreement of medical instruments measuring continuous variables in method comparison studies: a systematic review. by Rafdzah Zaki, Awang Bulgiba, Roshidi Ismail, Noor Azina Ismail

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Dynamic Vision Sensor Tracking Method Based on Event Correlation Index by Hengyi Lv, Yang Feng, Yisa Zhang, Yuchen Zhao

“…This article proposes a method based on the event correlation index to obtain the object’s position, contour, and other information and is compatible with traditional tracking methods. …”
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Research on data-driven and correlation-based electric energy error analysis method by RONG Xueqin, DING Yingying, LIU Yong

“…On the basis of the continuous accumulation of operating errors in the power system, generate full-scale error data of the electric energy meter, divide the processed full-scale error time series and key features such as timeliness, identify the change points by comparing the Pearson correlation coefficient matrix of multiple acquisition periods, and establish a data-driven error correlation prediction model that does not depend on specific power consumption environments and only relies on the intrinsic components of the electric energy meter error. …”
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Modern  trends  of  development  of  economic  Analysis  Methods by N.   S.  Plaskova, Е. V. Prokofieva

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The Effect of Cone Area Variations on the Continuous Discharges Flow (CDF) Method Sedimentation Unit as a New Method for Raw Water Turbidity Removal by Ridwan Ridwan, Reri Afrianita, Aulia Massyaf Putri, Reski Anggika

“…The Sedimentation Unit Continuous Discharges Flow (CDF) method is a modification by adding a continuous and controlled discharge flow as a net force acting on the particles to increase the efficiency of turbidity removal by applying the principle of a leaky tank at the bottom of the settling zone. …”
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An improved neighbor-correlation-extended-Kalman-filter fusion method for indoor navigation by Junhua Yang, Yong Li, Wei Cheng

“…In order to obtain high-accurate and continuous navigation information for indoor general devices in small computations, a novel combination of fusing extended Kalman filter and fingerprinting navigation algorithm, including K-nearest neighbor and Pearson correlation coefficient, is proposed in this article. …”
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A Novel Method for Online Diagnostic Analysis of Partial Discharge in Instrument Transformers and Surge Arresters from the Correlation of HFCT and IEC Methods by Marcel Antonionni de Andrade Romano, André Melo de Morais, Marcus Vinicius Alves Nunes, Kaynan Maresch, Luiz Fernando Freitas-Gutierres, Ghendy Cardoso, Aécio de Lima Oliveira, Erick Finzi Martins, Cristian Hans Correa, Herber Cuadro Fontoura

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The Effect of Variation in Cone Position Heigth on Raw Water Turbidity Removal in Sedimentation Unit Continuous Discharge Flow (CDF) Method as a New Method by Ridwan Ridwan, Reri Afrianita, Yar Gustina

“…Bilangan Reynolds (NRe)dan bilangan Froude (NFr) pada aliran buang ini secara berurutan adalah 23,83 dan 9,33x10-4.   ABSTRACT The continuous discharges flow (CDF) sedimentation unit is a new method for removing turbidity using the principle of a continuous and controlled leaking tank. …”
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Permanent terrestrial laser scanning for near-continuous environmental observations: Systems, methods, challenges and applications by Roderik Lindenbergh, Katharina Anders, Mariana Campos, Daniel Czerwonka-Schröder, Bernhard Höfle, Mieke Kuschnerus, Eetu Puttonen, Rainer Prinz, Martin Rutzinger, Annelies Voordendag, Sander Vos

“…This paper provides an overview of different 4D systems for near-continuous laser scanning, and discusses systematic challenges including instability of the sensor system, meteorological and atmospheric influences, and data alignment, before discussing recently developed methods and scientific software for extracting and parameterizing changes from 4D topographic data sets, in connection to the different applications.…”
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Experimental analysis of the railway truss bridge using modern methods by Petra Kálalová, Michal Polák, Vojtěch Stančík

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IDENTIFICATION OF FAULT CONTINUITY AND HOT WATER RESERVOIR USE SCHLUMBERGER CONFIGURATION RESISTIVITY METHOD IN CANGAR by Dhony Widyasandy, Aulia K Nugraha, Husni Cahyadi Kurniawan, Ahmad Luthfin

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Characteristics of Spot Spraying and Continuous Spraying Systems by Xueguan Zhao, Zhanwei Ma, Chunfeng Zhang, Zhichong Wang, Jing Chen, Xinwei Zhang, Changyuan Zhai

“…This paper studied the atomization characteristics of different spray nozzles under the spot spraying method and designed a test system for the atomization characteristics. …”
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Methods of Laser Spectroscopy in Devices for Continuous Monitoring of O2 and CO Content in Boiler Smoke Gases by V. A. Firago, V. Wujcik, I. S. Manak, P. Komada, V. V. Krot

“…The paper shows that the least errors of continuous CO and O2 concentration monitoring at the presence of variations in dissipative losses have been ensured by the modified correlation method though its threshold sensitivity is less than integral and correlation ones.…”
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Bias correction methods for simulated precipitation in the Brazilian Legal Amazon by Fabrício Daniel dos Santos Silva, Helber Barros Gomes, Claudia Priscila Wanzeler da Costa, Antônio Vasconcelos Nogueira Neto, Ismael Guidson Farias de Freitas, Mário Henrique Guilherme dos Santos Vanderlei, Maria Cristina Lemos da Silva, Rafaela Lisboa Costa, Jean Sousa dos Reis, Vânia dos Santos Franco, Ana Paula Paes dos Santos, Ivan Saraiva, Rodrigo Lins da Rocha Júnior, Jório Bezerra Cabral Júnior, Helder José Farias da Silva, Edmir dos Santos Jesus, Douglas Batista da Silva Ferreira, Renata Gonçalves Tedeschi

“…Six experiments were conducted: (1) MPI, comparing raw MPI-ESM1-2-HR precipitation with observations; (2) REG, comparing regionalized MPI-ESM1-2-HR precipitation via RegCM4.7.1 with observations; and (3-6) four experiments applying two bias correction methods, canonical correlation analysis (CCA) and principal component regression (PCR), to the MPI and REG out-puts, resulting in MPI-CCA, MPI-PCR, REG-CCA, and REG-PCR experiments. …”
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A Wi-Fi sensing method for complex continuous human activities based on CNN-BiGRU by Yang LIU, Anming DONG, Jiguo YU, Kai ZHAO, You ZHOU

“…Human activity sensing based on Wi-Fi channel state information (CSI) has an important application prospect in future intelligent interaction scenarios such as virtual reality, intelligent games, and the metaverse.Accurate sensing of complex and continuous human activities is an important challenge for Wi-Fi sensing.Convolutional neural network (CNN) has the ability of spatial feature extraction but is poor at modeling the temporal features of the data.While long short-term memory (LSTM) network or gated recurrent unit (GRU) network, which are suitable for modeling time-series data, neglect learning spatial features of data.In order to solve this problem, an improved CNN that integrates bidirectional gated recurrent unit (BiGRU) network was proposed.The bi-directional feature extraction ability of BiGRU was used to capture the correlation and dependence of the front and back information in the time series data.The extraction of the spatiotemporal features of the time series CSI data was realized, and then the mapping relationship between the action and the CSI data was present.Thus the recognition accuracy of the complex continuous action was improved.The proposed network structure was tested with basketball actions.The results show that the recognition accuracy of this method is above 95% under various conditions.Compared with the traditional multi-layer perceptron (MLP), CNN, LSTM, GRU, and attention based bidirectional long short-term memory (ABLSTM) baseline methods, the recognition accuracy has been improved by 1%～20%.…”
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A Wi-Fi sensing method for complex continuous human activities based on CNN-BiGRU by Yang LIU, Anming DONG, Jiguo YU, Kai ZHAO, You ZHOU

“…Human activity sensing based on Wi-Fi channel state information (CSI) has an important application prospect in future intelligent interaction scenarios such as virtual reality, intelligent games, and the metaverse.Accurate sensing of complex and continuous human activities is an important challenge for Wi-Fi sensing.Convolutional neural network (CNN) has the ability of spatial feature extraction but is poor at modeling the temporal features of the data.While long short-term memory (LSTM) network or gated recurrent unit (GRU) network, which are suitable for modeling time-series data, neglect learning spatial features of data.In order to solve this problem, an improved CNN that integrates bidirectional gated recurrent unit (BiGRU) network was proposed.The bi-directional feature extraction ability of BiGRU was used to capture the correlation and dependence of the front and back information in the time series data.The extraction of the spatiotemporal features of the time series CSI data was realized, and then the mapping relationship between the action and the CSI data was present.Thus the recognition accuracy of the complex continuous action was improved.The proposed network structure was tested with basketball actions.The results show that the recognition accuracy of this method is above 95% under various conditions.Compared with the traditional multi-layer perceptron (MLP), CNN, LSTM, GRU, and attention based bidirectional long short-term memory (ABLSTM) baseline methods, the recognition accuracy has been improved by 1%～20%.…”
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Continuous Flow Injection Analysis Method for the Determination of a Drug Diphenhydramine Hydrochloride by Using Phosphomolybdic Acid by Muntadhar M. Jabbar, Elham N. Mezaal

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COMPARATIVE ESTIMATION OF SEMICONDUCTOR DICE MOUNTING ALTERNATE NONDESTRUCTIVE EVALUATION METHODS by S. S. Wolkenstein, I. V. Dayniak, A. A. Khmyl

“…The comparative estimation of two aforementioned methods was spent on the basis of the correlation analysis.…”
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An improved two-stage fast acquisition method based on FFT by Song Ruoyu, Wang Zhenling, Yu Xiaolong, Liu Yating

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Assessing the Use of GEE Methods for Analyzing Continuous Outcomes from Family Studies: Strong Heart Family Study by Xi Chen, Ying Zhang, Amanda M. Fretts, Tauqeer Ali, Jason G. Umans, Richard B. Devereux, Elisa T. Lee, Shelley A. Cole, Yan D. Zhao

“… Background: Because of its convenience and robustness, the generalized estimating equations (GEE) method has been commonly used to fit marginal models of continuous outcomes in family studies. …”
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