Data Protection in Zimbabwe with Reference to the Covid-19 Pandemic and International Law by Otto Saki

“…The paper examines the development of data principles and their application in Zimbabwe in respect of health-related data protection during the pandemic. …”
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BIG DATA AND ARTIFICIAL INTELLIGENCE IN INFORMATION SYSTEMS OF PRODUCT QUALITY MANAGEMENT by Zhandaraly Sadyraliev, Tuganay K. Zhumanbayeva, Olga V. Dybina, Aleksandr A. Krutilin, Grisha M. Amirkhanyan

“…The complex approach allows combining theoretical and practical aspects of improvement of quality management based on the application of digital technologies and ensuring visualisation of the cause-and-effect relationships of the problems of quality management and ways to solve them through AI and big data. …”
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Transforming breast cancer management with real-world data and artificial intelligence by P. Heudel, B. Mery, H. Crochet, T. Bachelot, O. Tredan

“…Background: Real-world data (RWD) provide essential insights into the effectiveness and safety of breast cancer treatments, particularly in diverse patient populations, where traditional clinical trials may have limitations. …”
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Automated identification of soil functional components based on NanoSIMS data by Yahan Hu, Johann Maximilian Zollner, Carmen Höschen, Martin Werner, Steffen A. Schweizer

“…Identifying soil functional components within NanoSIMS measurements necessitates advanced and efficient data processing tools capable of accessibility and automation. …”
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The Study on Landslide Hazards Based on Multi-Source Data and GMLCM Approach by Zhifang Zhao, Zhengyu Li, Penghui Lv, Fei Zhao, Lei Niu

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Leveraging machine learning for data-driven building energy rate prediction by Nasim Eslamirad, Mehdi Golamnia, Payam Sajadi, Francesco Pilla

“…This paper presents a novel, data-driven approach for predicting Building Energy Ratings (BER) in urban environments, using advanced Machine Learning (ML) algorithms. …”
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Review of privacy computing techniques for multi-party data fusion analysis by LIU Shenglong, HUANG Xiuli, JIANG Yiwen, JIANG Jiawei, TIAN Yuechi, ZHOU Zejun, NIU Ben

“…This work focused on the needs of multi-party privacy computing for cross-system exchanges in ubiquitous sharing environments, taking the security sharing and controlled dissemination of private data in multi-party data fusion applications as the starting point, and provided reviews of existing relevant work from the perspectives of multi-party privacy computing, multi-party privacy information sharing control, and multi-party data collaborative secure computing. …”
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STRATEGY OF DATA INTEGRITY CONTROL FOR SYSTEM WIDE INFORMATION MANAGEMENT CONCEPT by L. E. Rudel'son, S. N. Smorodskiy, A. S. Stepanenko

“…An optimal strategy for the algorithm application has been constructed (by the criterion of computational resource expenses).…”
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Data-driven robust outpatient physician scheduling with medical visiting information by Qingyun He, Shuqun Shen, Zhiyu Lv, Shixin Yang

“…In this study, we develop a data-driven optimization framework for a mid-term period spanning several weeks within the outpatient department of a dermatology hospital. …”
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Security Design for Data Distribution Service Based on Secure Onboard Communication by Fengjun Zhou, Gang Wang, Qun Wang, Yuxing Wang, Jun Wang

“…Data Distribution Service (DDS) middleware plays a critical role in intelligent connected vehicle (ICV) communication; however, its existing security mechanisms often compromise real-time performance. …”
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Using Sentinel-1 Time Series Data for the Delineation of Management Zones by Juliano de Paula Gonçalves, Francisco de Assis de Carvalho Pinto, Daniel Marçal de Queiroz, Domingos Sárvio Magalhães Valente

“…A possible solution is to perform targeted sampling based on previously collected data. The objective of this research was to develop a method for mapping soil attributes based on Management Zones (MZs) delineated from Sentinel-1 radar data. …”
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OpenForest: a data catalog for machine learning in forest monitoring by Arthur Ouaknine, Teja Kattenborn, Etienne Laliberté, David Rolnick

“…While statistical modeling has traditionally found applications in forest biology, recent strides in machine learning and computer vision have reached important milestones using remote sensing data, such as tree species identification, tree crown segmentation, and forest biomass assessments. …”
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Unraveling heterogeneity and treatment of asthma through integrating multi-omics data by Wei Zhang, Yu Zhang, Lifei Li, Rongchang Chen, Fei Shi, Fei Shi

“…The current application of multi-omics approaches on patient stratification and therapies will be described. …”
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XAI for Point Cloud Data Using Perturbations Based on Meaningful Segmentation by Raju Ningappa Mulawade, Christoph Garth, Alexander Wiebel

“…However, due to the “black-box” nature of many of these AI algorithms, it is important to understand their decision-making process when it comes to their application in critical areas. Our work focuses on explaining AI algorithms that classify point cloud data. …”
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Image dataset for classification of diseases in guava fruits and leavesMendeley Data by Montasir Rahman Shihab, Nafiu Islam Saim, Mayen Uddin Mojumdar, Dewan Mamun Raza, Shah Md Tanvir Siddiquee, Sheak Rashed Haider Noori, Narayan Ranjan Chakraborty

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A collaborative network analysis for the interpretation of transcriptomics data in Huntington’s disease by Ozan Ozisik, Nazli Sila Kara, Tooba Abbassi-Daloii, Morgane Térézol, Elsa C. Kuijper, Núria Queralt-Rosinach, Annika Jacobsen, Osman Ugur Sezerman, Marco Roos, Chris T. Evelo, Anaïs Baudot, Friederike Ehrhart, Eleni Mina

“…A way to overcome this is to integrate experimental rare disease data with prior knowledge using network-based methods. …”
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Balinese text-to-speech dataset as digital cultural heritageMendeley Data by I Gusti Agung Gede Arya Kadyanan, Ngurah Agus Sanjaya ER, Anak Agung Istri Ngurah Eka Karyawati, I Gede Ngurah Arya Wira Putra, ⁠I Made Suma Gunawan, Ni Made Julia Budiantari, Hana Christine Octavia

“…Data was collected by recording the voices of native Balinese speakers using the Badung dialect. …”
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Data-driven power marketing strategy optimization and customer loyalty promotion by Bo Chen, Wei Cui

“…The LSTM model is trained on a dataset combining time-series power consumption data with customer interaction scores and market response rates. …”
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Formation permeability estimation using mud loss data by deep learning by Yaser Abdollahfard, Seyed Morteza Mirabbasi, Mohammad Ahmadi, Abdolhossein Hemmati-Sarapardeh, Sefatallah Ashoorian

“…This current research focuses on the application of mud loss data and deep learning to estimate the formation’s permeability. …”
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Unsupervised Anomaly Detection in Spatio‐Temporal Stream Network Sensor Data by Edgar Santos‐Fernandez, Jay M. Ver Hoef, Erin E. Peterson, James McGree, Cesar A. Villa, Catherine Leigh, Ryan Turner, Cameron Roberts, Kerrie Mengersen

“…While these sensors provide near real‐time data for science, the data are prone to technical anomalies that can undermine the trustworthiness of the data and the accuracy of statistical inferences, particularly in spatial and temporal analyses. …”
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