Cloud Trustworthiness Evaluation as a cloud service:architecture,key technologies and implementations by Chuan-yi LIU, He-zhong PAN, Lu-lu LIANG, Guo-feng WANG, Bin-xing FANG

“…A ＂big clouds audited by a small cloud＂ scheme was proposed,by introducing an independent trusted third party (TTP) dealing with run-time data collection,verification,audit and evaluation remotely,in a continuous and data-driven model,compared with traditionally certification based audit.The TTP mainly adopts data flow visualization,data monitoring and encryption to protect the rights of users.It provides the basis for users to choose a trusted cloud platform and for cloud platform to prove own trusted credentials.In-depth study,the following key technologies were broken through:1) the introduction of an independent trusted third party as an intermediate layer between cloud platform and users as well as administrators; 2) continuous,real-time remote data collection and data analysis; 3) strong non-intrusive evidence gathering.…”
Get full text

Predicting Corn Moisture Content in Continuous Drying Systems Using LSTM Neural Networks by Marko Simonič, Mirko Ficko, Simon Klančnik

“…The model was implemented on the imputed data using a multilayer neural network consisting of an LSTM layer and three dense layers. …”
Get full text

The Advanced Real-Time Monitoring of New Welding Processes in the Aircraft Industry by David Castro, Julio Illade, Noelia Gonzalez, Soralla Pintos, Massimiliano Russello

“…The data transmission utilized the OPC UA protocol, ensuring secure, reliable real-time data flow to visualization interfaces in safe environments. …”
Get full text

Exploring the value Australian community leaders see in a system dynamics model calibrated with local data: social norms and childhood obesity by Karien Stronks, Loes Crielaard, Steven Allender, Mary Nicolaou, Andrew D Brown, Joshua Hayward

“…In public health, SAs often rely on qualitative systems maps visualising factors and their interconnections, frequently developed through group model building. …”
Get full text

Patient and clinician opinions on internet search data use in therapy: Insights, considerations, and guidelines for integrating a new digital phenotyping measure by Alex Dhima, Soumya Choudhary, Keris Myrick, John Torous

“…More granular search data in visualizations was considered more useful when compared to vague search frequencies. …”
Get full text

Smart city: A system for measuring noise pollution by Ivan JEZDOVIĆ, Nevena NEDELJKOVIĆ, Lazar ŽIVOJINOVIĆ, Božidar RADENKOVIĆ, Aleksandra LABUS

“…The system measures and analyses noise level and sends data to the server, where they are further stored, merged and prepared for visualization. …”
Get full text

Exploring Genomic Differences between a Pair of <i>Vitis vinifera</i> Clones Using WGS Data: A Preliminary Study by Daniela Araya-Ortega, Felipe Gainza-Cortés, Gonzalo Riadi

“…Utilising genome sequencing data from tissue samples, we identified genomic positions differing between the clones and their cultivar reference genome, meeting the filtering criteria. …”
Get full text

A scoping review using social network analysis techniques to summarise the prevalance of methods used to acquire data for athlete survelliance in sport by Watson P. J., Fieldsend J. E., Stiles V.H.

“…Questionnaires and self-reported methods of acquiring data are common in all categories of sport. This scoping review provides coaches, sport-scientists and researchers with a data-driven visual resource to aid the selection of methods of acquiring data from athletes in all categories of sport relative to logistical circumstances. …”
Get full text

Improving Artificial Intelligence–based Microbial Keratitis Screening Tools Constrained by Limited Data Using Synthetic Generation of Slit-Lamp Photos by Daniel Wang, BA, Bonnie Sklar, MD, James Tian, MD, Rami Gabriel, MD, Matthew Engelhard, MD, PhD, Ryan P. McNabb, PhD, Anthony N. Kuo, MD

“…Objective: We developed a novel slit-lamp photography (SLP) generative adversarial network (GAN) model using limited data to supplement and improve the performance of an artificial intelligence (AI)–based microbial keratitis (MK) screening model. …”
Get full text

Road User Vulnerability in Traffic Accidents, Featuring Full Day Data Collection – Comprehensive MACRO Analysis Study for the City of Karachi, Pakistan by Syed Faraz Jafri, Khawaja Sheeraz, Kamran Khan, Zubair Iqbal Rao, Asif Abbasi

“…On the whole, three years data record is utilized in the analytical part as well. …”
Get full text

A Comparison of the Meta Quest Pro and HTC Vive Focus 3 Eye-Tracking Systems: Analysis of Data Accuracy and Spatial Precision by Erica Rocchi, Anna Ferrarotti, Marco Carli

“…The rise of Virtual Reality has highlighted eye gaze as a key interaction method. Data reliability becomes critical in this context, with gaze accuracy and precision serving as leading indicators of data quality. …”
Get full text

Best practices for physiological data collection in youth with autism and co-occurring mental health diagnoses: Implications for human-animal intervention research by Cory M. Smith, Katharine Weimann, Madison Widick, Tamara Merritt, Hannah Christensen, Matthew Siegel, Zhaoxing Pan, Robin L. Gabriels

“…For electrodermal activity, tonic responses should be assessed as opposed to phasic analyses. • An effective data monitoring team including the Data Collection Research Personnel, Site Principal Investigator, Physiologist, and Therapeutic Riding Center Intervention Lead are key to increasing the quality of usable data in equine-assisted service research environments.…”
Get full text

Integration of Earth Observation Data and Spatial Approach to Delineate and Manage Aeolian Sand-Affected Wasteland in Highly Productive Lands of Haryana, India by Kishan Singh Rawat, Shashi Vind Mishra, Sudhir Kumar Singh

Get full text

2D flame temperature and soot concentration reconstruction from partial discrete data via machine learning: A case study by Mingfei Chen, Renhao Zheng, Xuan Zhao, Dong Liu

“…Based on the interrelation between different flame locations, this study proposed a new machine learning-based approach to reconstruct the overall 2D temperature and soot concentration from partial discrete data. Six cases were used to evaluate the reconstruction performance of different models (ANN, SVR, and RF), with accuracy assessed through visual observation, scatter plots, and error statistics. …”
Get full text

Automated Concrete Bridge Deck Inspection Using Unmanned Aerial System (UAS)-Collected Data: A Machine Learning (ML) Approach by Rojal Pokhrel, Reihaneh Samsami, Saida Elmi, Colin N. Brooks

Get full text

Threats to the Digital Ecosystem: Can Information Security Management Frameworks, Guided by Criminological Literature, Effectively Prevent Cybercrime and Protect Public Data? by Shahrukh Mushtaq, Mahmood Shah

“…In parallel, the study critically engages with global cybersecurity standards such as National Institute of Standards and Technology (NIST) and ISO, to evaluate how criminological principles are embedded in practice. Using data from the Global Cybersecurity Index (GCI), the paper introduces an innovative visual mapping of the divergence between cybersecurity preparedness and digital development across 170+ countries, revealing strategic gaps and overperformers. …”
Get full text

Greater than the sum of its parts: optical remote sensing and sediment core data provide a holistic perspective on glacial processes by Henry Jacob Miller Gage, Carolyn Hope Eyles

“…Optical imagery offers precise, spatially extensive data to visualize contemporary processes often limited in their temporal extent. …”
Get full text

Feature-based ensemble modeling for addressing diabetes data imbalance using the SMOTE, RUS, and random forest methods: a prediction study by Younseo Jang

Get full text

Analysis of retrospective natural history data collected from patients with SYNGAP1-related disorders: a preliminary examination of the Citizen database by Matthew R. Scott, Albert Misko, Yang Liu, Oleksandr Sverdlov

“…Standardized assessment data were largely sparse. Neurological exam data demonstrated ataxia and muscle tone issues. …”
Get full text

Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms by Chukwutem Pinic Ufeli, Mian Usman Sattar, Raza Hasan, Salman Mahmood

“…Practical implications include the development of targeted marketing strategies, validated through heatmap visualizations and cluster profiling. This study not only underscores the suitability of FAMD for customer segmentation but also sets the stage for more nuanced marketing analytics driven by mixed-data methodologies.…”
Get full text