Rapid detection of honey adulteration using machine learning on gas sensor data by Mehmet MİLLİ, Nursel SÖYLEMEZ MİLLİ, İsmail Hakkı PARLAK

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Accessibility Via Public Transport Through Gravity Models Based on Open Data by Dabagh Shabnam, Miristice Lory Michelle Bresciani, Gentile Guido

“…This study examines public transport accessibility to essential facilities in Rome, such as high schools and hospitals, using gravity models based on open data sources, like OpenStreetMap and GTFS. Two versions of the gravity model are compared: an origin constrained and a doubly constrained. …”
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Iterative Separation of Blended Seismic Data in Shot Domain Using Deep Learning by Liyun Ma, Liguo Han, Pan Zhang

“…Accurate deblending techniques are essential for the successful application of blended seismic acquisition. Deep-learning-based deblending methods typically begin by performing a pseudo-deblending operation on blended data, followed by further processing in either the common-shot domain or a non-common-shot domain. …”
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Factor of influence of baseline data on the realization of integrated territorial development in the Arctic conditions by Bidov Tembot, Khubaev Alan, Lotkin Victor, Borovkova Anastasia

“…This article analyzes the influence of input data on the process of implementation of integrated territorial development in the Arctic conditions. …”
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Polynomial estimates of measurand parameters for data from bimodal mixtures of exponential distributions by S.V. Zabolotnii, V.Yu. Kucheruk, Z.L. Warsza, А.K. Khassenov

“…In case when the degree of the polynomial r = 1 and r = 2 (for symmetrically distributed data) polynomial estimate equivalent can be estimated as a mean (average arithmetic). …”
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The De-Noising of Sonic Echo Test Data through Wavelet Transform Reconstruction by J.N. Watson, P.S. Addison, A. Sibbald

“…Finite element generated data from cast in situ foundation piles were collated and processed using both continuous and discrete wavelet transform techniques. …”
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Utilization of Data Mining Techniques in SIMPUS towards Smart Library at IAIN Kendari by Samrin, Badarwan, Raehang, Obaid Moh. Yahya, Syahrul

“…This study aims to analyze the application of data mining techniques in SIMPUS at IAIN Kendari, in order to improve the efficiency of library management and provide smarter services to users. …”
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Fabric Tensor Characterization of Tensor-Valued Directional Data: Solution, Accuracy, and Symmetrization by Kuang-dai Leng, Qiang Yang

“…Fabric tensor has proved to be an effective tool statistically characterizing directional data in a smooth and frame-indifferent form. Directional data arising from microscopic physics and mechanics can be summed up as tensor-valued orientation distribution functions (ODFs). …”
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The Duals of Fusion Frames for Experimental Data Transmission Coding of High Energy Physics by Jinsong Leng, Qixun Guo, Tingzhu Huang

“…The experimental data transmission is an important part of high energy physics experiment. …”
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Attitudes and perceptions regarding knowledge translation and community engagement in medical research: the PERSPECT qualitative study by Bogna A. Drozdowska, Nora Cristall, Joachim Fladt, Tanaporn Jaroenngarmsamer, Arshia Sehgal, Rosalie McDonough, Mayank Goyal, Aravind Ganesh

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Method for predicting the reliability of applied software at the early stages of their development by S. M. Borovikov, S. S. Dick, N. K. Fomenko

“…The model is based on generalized statistical data taken from domestic and foreign printing on the expected number of errors in the developed application software, depending on the number of lines of computer program code, the duration of its testing, the qualifications and experience of testers. …”
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The role of knowledge management in developing intellectual capital Case study of the University of Tamanrasset by Med Mounir kacemi

“…This study aimed to know the attitudes of the respondents at the University of Tamanrasset, about the role of knowledge management in the development of intellectual capital. sample total. For data analysis, descriptive statistical analysis, regression analysis of variance, simple regression analysis, and one of the most important results was the existence of a statistically significant relationship between knowledge management and intellectual capital. …”
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Privacy, personal data protection and the digital age: A (criminal) law "omnibus" by Banović Jovana M., Radisavljević Ivana M.

“…The cornerstone in this area is the Law on Personal Data Protection from 2018. In line with the ultima ratio principle of criminal law, the Criminal Code protects these data when the most severe violations occur, pursuant to the Criminal Procedure Code. …”
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Business Intent and Network Slicing Correlation Dataset from Data-Driven Perspective by Jie Li, Sai Zou, Yanglong Sun, Hongfeng Gao, Wei Ni

“…As a cutting-edge dataset for network intent recognition, BINS will contribute to the development of IBN systems and provide valuable data resources for researchers and practitioners exploring application interactions and related technologies.…”
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Construction of Student Information Management System Based on Data Mining and Clustering Algorithm by XueHong Yin

“…Based on the analysis system development related tools and methods, in response to the needs of the student information management system, a simple student information management system is designed and implemented, which provides a platform and data source for the next application of clustering algorithm for performance analysis. …”
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An alternative method to improve gravity field models by incorporating GOCE gradient data by Xiaoyun Wan, Jiangjun Ran

“…The aim of this paper is to present an alternative method that can be used to improve existing gravity field models via the application of gradient data from Gravity field and Ocean Circulation Explorer (GOCE). …”
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Natural language processing-based approach for automatically coding ship sensor data by Yunhui Kim, Kwangphil Park, Byeongwoo Yoo

“…Through the application of different text preprocessing techniques based on the unique characteristics of the data, the performances of the algorithms improved; the experimental results showed an accuracy of up to 91%, with an average improvement in accuracy of 5% for each algorithm.…”
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Wavelet-Based Estimation of Damping from Multi-Sensor, Multi-Impact Data by Hadi M. Daniali, Martin v. Mohrenschildt

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Machine learning for workpiece mass prediction using real and synthetic acoustic data by D. S. Whittaker, J. Gregório, T. F. Byrne

“…Fractional uncertainty in measured mass is of the order of 10− 4, and so this serves well as a general proxy to test our approach. It could find application when data to augment algorithm performance must be obtained robustly, relatively quickly and without much computational effort in the wider context of waste minimisation and green manufacturing.…”
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Modifying Covariance Localization to Mitigate Sampling Errors from the Ensemble Data Assimilation by Mingheng Chang, Hongchao Zuo, Jikai Duan

“…The results show that the CL-MC method outperforms the CL method for different data assimilation parameters (ensemble sizes and localizations). …”
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