Agricultural Land-Use Classification on Satellite Data Using Machine Learning by Nguyen Thao-Ngan, Nguyen Van-Ho

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Features of the use of big data in the financial sector by F. O. Chernenkov

“…The purpose of  the article is   to theoretically comprehend the essence of   big data, identify the advantages and risks of   its use by   financial organisations. …”
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Positive Data Visualization Using Trigonometric Function by Farheen Ibraheem, Maria Hussain, Malik Zawwar Hussain, Akhlaq Ahmad Bhatti

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Using Big Data Technology to Protect the Environment by Dovgal Vitaly, Kuizheva S.

“…The concept of "big data" means a huge amount of information, the size of which is too large, or it is created too quickly or has a structuring that does not allow it to be processed using traditional data management systems. …”
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Data Makers and Users' Views on Useful Paradata by Isto Huvila, Lisa Andersson, Olle Sköld, Ying-Hsang Liu

“… Understanding and making data (re)usable requires adequate documentation of the data but also information on how it has been created, curated, manipulated and used, termed in data documentation literature as paradata. …”
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On the research for big data uses for public good purposes by Adeline Decuyper

“…Finally, aside from the opportunities, the mass production and use of data has also brought many challenges, such as evaluating the representativity of the data or handling threats to the privacy of users, that we will discuss in the last section of this article.…”
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Hardware-Accelerated Data Readout Platform Using Heterogeneous Computing for DNA Data Storage by Xiaopeng Gou, Qi Ge, Quan Guo, Menghui Ren, Tingting Qi, Rui Qin, Weigang Chen

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Salt Used for the National School Nutrition Program (NSNP) in Rural Schools of Limpopo Province, South Africa, has Adequate Levels of Iodine by Mpho Ramugondo, Lindelani Fhumudzani Mushaphi, Ngoako Solomon Mabapa

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Quality assessment of antibiotic use data in the Norwegian veterinary prescription register for 2023 by Trishang Udhwani, Kari Grave, Petter Hopp, Kari Olli Helgesen

“…Since 2023, it has been mandatory to collect and report data on antibiotic use per animal species or subcategory of species for cattle, pigs, chickens and turkeys in all EU and EEA countries. …”
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The use of Charlson comorbidity index for observational studies using administrative data in Korea by Dong Wook Shin, Kyungdo Han

“…The number of large-scale epidemiological studies using administrative databases has rapidly increased in recent years. …”
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Using RPA for data generation using OCR platforms in Mediterranean University of Albania by Gerild Qordja

“… The increase in the amount of data today has led to the use of computer applications in order to manage processes precisely. …”
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Surveillance of antibiotic use in the private sector in Namibia using sales and claims data by Dawn Dineo Pereko, Martie S Lubbe, Sabiha Y Essack

“…Introduction: Antibiotics are among the most commonly used therapeutic agents for humans globally, and their use has been associated with the development of resistance. …”
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IMPLEMENTATION OF BALANCING DATA METHOD USING SMOTETOMEK IN DIABETES CLASSIFICATION USING XGBOOST by Fatwa Ratantja Kusumajati, Basuki Rahmat, Achmad Junaidi

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Methodology for classification of land use and vegetation cover using MODIS-EVI data by Vagner P. Mengue, Denise C. Fontana, Tatiana S. da Silva, Daniel Zanotta, Fernando C. Scottá

“…To evaluate the results, reference data acquired from Landsat 8-OLI satellite images and IBGE data were used. …”
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A big data framework for short-term power load forecasting using heterogenous data by Haibo ZHAO, Zhijun XIANG, Linsong XIAO

“…The power system is in a transition towards a more intelligent, flexible and interactive system with higher penetration of renewable energy generation, load forecasting, especially short-term load forecasting for individual electric customers plays an increasingly essential role in future grid planning and operation.A big data framework for short-term power load forcasting using heterogenous was proposed, which collected the data from smart meters and weather forecast, pre-processed and loaded it into a NoSQL database that was capable to store and further processing large volumes of heterogeneous data.Then, a long short-term memory (LSTM) recurrent neural network was designed and implemented to determine the load profiles and forecast the electricity consumption for the residential community for the next 24 hours.The proposed framework was tested with a publicly available smart meter dataset of a residential community, of which LSTM’s performance was compared with two benchmark algorithms in terms of root mean square error and mean absolute percentage error, and its validity has been verified.…”
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Adaptive RFID Data Scheduling Using Proximal Policy Optimization for Reducing Data Processing Latency by Guowei Guo, Xinsen Yang, Ziwei Liang, Zeli Xi, Ximei Zhan, Peisong Li

“…This paper presents a novel approach for dynamically offloading data using deep reinforcement learning, specifically employing the Proximal Policy Optimization (PPO) algorithm. …”
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Multimodal data curation via interoperability: use cases with the Medical Imaging and Data Resource Center by Weijie Chen, Heather M. Whitney, Seyed Kahaki, Christopher Meyer, Hui Li, Rui Carlos Sá, Diane Lauderdale, Sandy Napel, Kenneth Gersing, Robert L. Grossman, Maryellen L. Giger

“…Using interoperability capabilities of the data repositories, we built two cohorts for example use cases, with each containing clinical and imaging data on matched patients. …”
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Reconstructing missing data of damaged buildings from post-hurricane reconnaissance data using XGBoost by Hyunje Yang, Jun-Whan Lee, Steven Klepac, Armando Ulises Santos Cruz, Arthriya Subgranon, Junfeng Jiao

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Internal Initiative vs External Pressure: Evidence from Halal Standard Adoption in Indonesian Food Small and Medium Industries (SMIs) by Nilda Tri Putri, Meuthia Meuthia, Ikhsan Rapi Saputra, Rini Rahmahdian S, Iwan Vanany, Norhayati Zakuan

“…This research's focal points are identifying key factors of halal food standards (HFS) in small-medium industries (SMIs) in Padang and exploring the roles of traceability systems in compliance with the halal assurance system (HAS). The sample size included 105 food SMIs in Padang through a survey using questionnaires. …”
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Cross-Company Data Sharing Using Distributed Analytics by Soo-Yon Kim, Stefanie Berninger, Max Kocher, Martin Perau, Sandra Geisler

“…While the topic of data and information sharing has been the focus of previous works, there has been a lack of studies focusing on practical implementations in the supply chain domain. …”
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