RADIO FREQUENCY DATA IDENTIFICATION TECHNOLOGY: POTENTIAL FOR USE IN FASHION INDUSTRY SUPPLY CHAINS by N. Yu. Barkova, O. A. Borodina

“…Traditionally, RFID technology is used to identify data in warehouse logistics or company distribution system, but the scope of application of this technology in the fashion industry is constantly expanding. …”
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STUDY OF GULLY EROSION OF KAND STRUCTURE NW OF IRAQ BY USING REMOTE SENSING DATA by Mohammed Younis Salim Al-Allaf

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Reconstruction of Induced Polarization Information from Electromagnetic Data Using Neural Network Approach by Mohamed Elkattan

“…Electromagnetic responses arising from the interaction of electromagnetic fields with the electrical properties of the subsurface structures provide useful information about such structures. Furthermore, if polarizable materials are present within the investigated structure, the observed data from the electromagnetic measurements will contain inherently induced polarization responses, thereby introducing additional parameters for distinguishing subsurface materials. …”
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Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture by Fares Alkhawaja, Manar Amayri, Nizar Bouguila

“…The elevating effect of the curse of dimensionality in count data has made clustering a challenging task. This paper solves this by adopting the concept of feature saliency as a feature selection method in the context of using the Multinomial Nested Dirichlet Mixture (MNDM). …”
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Using in silico models to predict lymphocyte activation and development in a data rich era by Salim I Khakoo, Jayajit Das

“…However, this is a particularly challenging task due to the difficulty in integrating data and processes across multiple scales. In this review we discuss some of the challenges associated with this task and also the recent advances and opportunities that will help to makes these tractable, using the innate lymphocyte, the natural killer cell as an exemplar.…”
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Using recurrent neural networks and web crawlers to scrape open data from the Internet. by Kanneganti, D.

“…Web crawling techniques in conjunction with Recurrent Neural Networks (RNNs) have been applied to several areas in the field of data mining on the Internet, but how they would best be applied to searching for open datasets has not yet been studied. …”
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Estimating a Finite Population Mean Using Transformed Data in Presence of Random Nonresponse by Nelson Kiprono Bii, Christopher Ouma Onyango, John Odhiambo

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Temperature Field Data Reconstruction Using the Sparse Low-Rank Matrix Completion Method by Shan Wang, Jianhui Hu, Huiling Shan, Chun-Xiang Shi, Weimin Huang

“…In the past, spatial interpolation is usually used for filling the data gap. However, the interpolation method does not work well for the case of the large-scale data loss. …”
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Impact of financial distress on the dividend policy of banks in India: evidence using panel data by Aashi Rawal, Santosh Gopalkrishnan

“…The Z-score developed by Altman measures a bank’s financial distress (a high Z-score indicates the absence of financial distress). Data from 31 out of 34 banks operating in India between 2016 and 2020 has been used. …”
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A hybrid deep learning framework for early detection of Mpox using image data by Sajal Chakroborty

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Analysis of the trading interval duration for the Bitcoin market using high-frequency transaction data by Makoto Nakakita, Teruo Nakatsuma

“…Analyzing the trading interval durations of cryptocurrencies is important both academically and practically, but there has been no previous research using tick data. Therefore, we conducted a time series analysis on the duration of the trading interval between consecutive transactions in the Bitcoin market to identify similarities and differences with conventional financial assets such as stocks and commodities. …”
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Towards Using Sensors as Data Sources in Teaching: Requirements for School Curricula-Compatible Sensors by Mubashrah Saddiqa, Marite Kirikova, Rikke Magnussen, Birger Larsen, Jens Myrup Pedersen

“…We also develop requirements models for sensor classes that satisfy the school curricula compatibility criteria using requirements engineering techniques. The results show that integrating sensors into schools can improve students’ digital and data skills. …”
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Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper. by Faye Orcales, Lucy Moctezuma Tan, Meris Johnson-Hagler, John Matthew Suntay, Jameel Ali, Kristiene Recto, Phelan Glenn, Pleuni Pennings

“…We also guide the user in how to load and prepare the data used for the ML models. The tutorial is accessible to beginners and does not require any software to be installed as it is based on Google Colab notebooks and provides a basic understanding of the different ML models. …”
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Experience of isavuconazole use for the treatment of mucormycosis: a clinical case and analysis of registry data by Khostelidi S.N.

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Forecasting Tsunami Hazards Using Ocean Bottom Sensor Data and Classification Predictive Modeling by Yao Li

“…The performance of the models is quantified by the accuracy of the confusion matrices and is compared with the base model, which only uses earthquake information. The forecasting accuracy can be improved by 30% when the wave amplitude data are used as additional information. …”
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A mobile cloud computing framework for execution of data as a service using cloudlet by Santosh Kumar Yadav, Rakesh Kumar

“… As mobile devices are becoming more powerful in computation, storage and power which makes it suitable for MCC (mobile cloud computing). Besides getting used in MCC, mobile devices also have roles in various emerging technologies like, ubiquitous computing, pervasive computing, context aware based computing, big data analysis, utility computing, fog computing and 5G based technologies. …”
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Analysis of population dynamics of the regional unit of Chania using remote sensing and census data by Paschalina V. PAPANIKOLAOU, Terpsichori K. MITSI

“… Information about the size and the evolution of a place’s population has been sought from ancient times. That kind of information can be secured by periodic census enumerations. …”
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Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK by Matthew Sainsbury-Dale, Andrew Zammit-Mangion, Noel Cressie

“…FRK is an R package for spatial and spatio-temporal modeling and prediction with very large data sets that, to date, has only supported linear process models and Gaussian data models. …”
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Using License Plate Recognition Data to Gain Insight into Urban Travel Time Distributions by Xiaoqin Luo

“…Travel time distribution is an essential tool for measuring urban traffic performance, a subject that has been studied for decades. This paper conducts a comprehensive investigation of two types of travel time distributions using extensive license plate recognition data from Automatic Number Plate Recognition techniques on four signalized arterials in Guiyang, China. …”
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Neural Colour Correction for Indoor 3D Reconstruction Using RGB-D Data by Tiago Madeira, Miguel Oliveira, Paulo Dias

“…With the rise in popularity of different human-centred applications using 3D reconstruction data, the problem of generating photo-realistic models has become an important task. …”
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