Web-based supply chain system design using blockchain by Faris Nofandi, Muhammad R.B. Janaputra, Rizki A. Pratama

“…Background: This research aims to design an agromaritime supply chain system as a development of blockchain technology in Industry 4.0. Objectives: The study has three main objectives: (1) to analyse supply chain structures and processes, focusing on coordination, scheduling and resource control; (2) to explore the application of blockchain as an innovative solution in Industry 4.0; and (3) to design and evaluate a blockchain-based supply chain system that enhances transparency, traceability and data integrity through distributed ledger technology. …”
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Using the Ethereum Blockchain in the Internet of Things Network for IT Diagnostics by U. A. Vishniakou, YiWei Xia, Chuyue Yu

“…The article discusses the use of Ethereum blockchain technology in the Internet of Things (IoT) network for IT diagnostics of patients, which increases data security and user privacy. …”
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Improving imperfect data from health management information systems in Africa using space-time geostatistics. by Peter W Gething, Abdisalan M Noor, Priscilla W Gikandi, Esther A A Ogara, Simon I Hay, Mark S Nixon, Robert W Snow, Peter M Atkinson

“…<h4>Methods and findings</h4>This study has taken the example of presumed malaria in outpatients within the largely incomplete Kenyan HMIS database and has defined a geostatistical modelling framework that can predict values for all data that are missing through space and time. …”
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Advancing interpretation of incoherent scattering in ice-penetrating radar data used for ice core site selection by E. L. Mutter, N. Holschuh

“…<p>Below the coherent layering in ice-penetrating radar data collected in Antarctica and Greenland, incoherent scattering is common. …”
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An Efficient Categorization of Diabetes Imbalanced Data Using SMOTE-ENN With Fine-Tuned LS-SVM Algorithm by Nwayyin Mohammed, Mariwan Hama Saeed

“…Diabetes has been recognized as a major cause of death. Diabetes is a chronic disease. …”
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Application of High-Resolution Remote-Sensing Data for Land Use Land Cover Mapping of University Campus by Irwan Ary Dharmawan, Muhammad Ario Eko Rahadianto, Edward Henry, Cipta Endyana, Muhammad Aufaristama

“…The study of Land Use Land Cover (LULC) is essential to understanding how land has been altered in recent years and what has caused the processes behind the change. …”
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Forecasting the Bitcoin price using the various Machine Learning: A systematic review in data-driven marketing by Payam Boozary, Sogand Sheykhan, Hamed GhorbanTanhaei

“…The study's importance is derived from its systematic examination of various machine learning (ML) techniques employed to predict the price of Bitcoin, with a particular emphasis on their integration into data-driven marketing strategies. The results will substantially contribute to both academic research and practical applications, providing valuable insights that can be used to develop more dependable forecasting tools, thereby benefiting investors, marketers, and policymakers.…”
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Enhanced Position-Aided Beam Prediction Using Real-World Data and Enhanced-Convolutional Neural Networks by Ahmed Abd El Moaty Mohamed Gouda, Ehab K. I. Hamad, Aziza I. Hussein, M. Mourad Mabrook, A. A. Donkol

“…However, beam alignment requires significant training overhead, especially in high-mobility scenarios. Previous research has utilized synthetic data for position-aided beam prediction, which does not fully capture real-world complexities. …”
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Using computer based data acquisition and analysis system for nasal potential difference measurement in cystic fibrosis by Zuhal Ergönül, Z Dicle Balkanci, Gökhan Yilmaz, Nural Kiper, Ebru Yalçin, Deniz Doğru, Uğur Ozçelik, Ayhan Göçmen

“… Nasal potential difference (PD) measurement has been used as a diagnostic test for cystic fibrosis (CF). …”
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Comparison of Personal Data Protection Laws Using Narrative Policy Framework Between Indonesia, Malaysia, and Japan by Yusran Panca Putra

“…The Narrative Policy Framework is an approach or research framework on the public policy process, it is identified that the hero character represented by comprehensive personal data protection regulations has long been used by Japan and Malaysia. …”
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Identification of the Geological Structure of Jagoi Babang District and Surrounding Areas in Bengkayang Regency Using Gravity Data by Deni Alpito Saputra, Zulfian Zulfian, Radhitya Perdhana

“…This study aims to identify geological structures in Jagoi Babang District and its surroundings in Bengkayang Regency using the gravity method. The data used for this study are Free Air Anomaly (FAA) data from the Global Gravity Model Plus (GGMPlus). …”
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Analysis Using High-Precision Airborne LiDAR Data to Survey Potential Collapse Geological Hazards by Jinxing She, Awei Mabi, Zhongming Liu, Mingqiang Sheng, Xiujun Dong, Fei Liu, Shiyang Wang

“…Comparative research found that the DEM obtained by high-precision airborne LiDAR technology has significant advantages in terms of the accuracy, details, and microgeomorphology of the data collected. …”
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Advancing plant metabolic research by using large language models to expand databases and extract labeled data by Rachel Knapp, Braidon Johnson, Lucas Busta

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Probabilistic back analysis for landslide susceptibility assessment in data-scarce regions using a Bayesian approach by In-Tak Hwang, Jung-Hyun Lee, Ananta Man Singh Pradhan, Hyuck-Jin Park

“…These supplementary data were used to update the shear strength parameters, and landslide susceptibility was evaluated using the updated parameters. …”
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Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques. by Apichat Suratanee, Panita Chutimanukul, Tanapon Saelao, Supachitra Chadchawan, Teerapong Buaboocha, Kitiporn Plaimas

“…To extract the characteristics of the spectral data, we used 22 statistical features in both time and frequency domains. …”
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Calibration of Energy Simulation Models on a Building Stock Level using Actual Energy Consumption Data by Paula van den Brom, Laure Itard, Henk Visscher

“…As actual energy consumption data at individual house level are becoming more often available or are registered by national bodies, this research introduces a method that uses actual energy consumption data and automatic calibration techniques to improve assumptions in building energy simulation models used to assess the whole building stock. …”
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Lithological classification using SDGSAT-1 TIS data and three-dimensional spectral feature space model by Qunjia Zhang, Zhenhua Guo, Lei Liu, Jiacheng Mei, Le Wang

“…Thermal infrared (TIR) remote sensing is pivotal in lithological classification due to its diagnostic ability for silicate minerals; however, its application has been partially constrained by limited data availability and insufficient methodological development. …”
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ANALYSIS OF ECOTOURISM AND DISASTER MITIGATION DATA AT THE KUALA LANGSA MANGROVE FOREST BY USING THE ANALYTIC HIERARCHY PROCESS by Salmawaty Arif, Nanda Akmalia

“…The Analytic Hierarchy Process (AHP) as a multicriteria decision making method was used to analyze the best indicators data. This method was selected as the suitable method since it utilizes the objectivity of mathematics in comparing some subjective criteria to obtain the best indicators. …”
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Prospects for the use of monoclonal antibodies to interleukin 23 Gusеlkumab in psoriatic arthritis: New data by E. L. Nasonov, T. V. Korotaeva, S. Rodolfi, C. F. Selmi

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A Systematic Literature Review of Machine Learning-Based Personality Trait Detection Using Electroencephalographic Data by Celina Rieck, Pascal Penava, Ricardo Buettner

“…That is why machine learning-based detection of personality traits using electroencephalographic data has gained increasing attention. …”
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