Sex-specific public health data: analyzing the arboviral impact on women in Brazil by Brena F. Sena, Danyelly Bruneska Gondim Martins, Carmen Simone Grilo Diniz, José Luiz Lima Filho

“…METHODS A comprehensive epidemiological and geospatial data analysis was conducted utilizing data from Brazil’s national health data system, including the disease notification system (Sistema de Informação de Agravos de Notificação) and mortality information system (Sistema de Informação sobre Mortalidade), covering national and municipal level data. …”
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Huffman coding-based data reduction and quadristego logic for secure image steganography by Irsyad Fikriansyah Ramadhan, Ntivuguruzwa Jean De La Croix, Tohari Ahmad, Andre Uzamurengera

“…Ensuring secure data transmission is critical for maintaining confidentiality and has become increasingly important. …”
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Satellite Forensics: Analysing Sparse Beacon Data to Reveal the Fate of DTUsat-2 by René W. Fléron

“…This paper presents the real-life data from DTUsat-2 on orbit and the methodologies used to visualize the key element in the investigation, namely, the correlation between orbit position and the beacon counter. …”
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Fusion of auto encoders and multi-modal data based video recommendation method by Qiuyang GU, Chunhua JU, Gongxing WU

“…Nowadays, the commonly used linear structure video recommendation methods have the problems of non-personalized recommendation results and low accuracy, so it is extremely urgent to develop high-precision personalized video recommendation method.A video recommendation method based on the fusion of autoencoders and multi-modal data was presented.This method fused two data including text and vision for video recommendation.To be specific, the method proposed firstly used bag of words and TF-IDF methods to describe text data, and then fused the obtained features with deep convolutional descriptors extracted from visual data, so that each video document could get a multi-modal descriptors, and constructed low-dimensional sparse representation by autoencoders.Experiments were performed on the proposed model by using three real data sets.The result shows that compared with the single-modal recommendation method, the recommendation results of the proposed method are significantly improved, and the performance is better than the reference method.…”
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The use of photography for qualitative data collection with adolescent mothers: a scoping review by Daniela de Castro Barbosa Leonello, Giovanna Ushirobira Souza, Rhyquelle Rhibna Neris, Giovanna Cristina Machado Kayzuka, Marina Prado de Souza, Adriana Moraes Leite

“…Introduction: Photography has been increasingly explored in data collection processes, as it enriches the process and allows the interviewee to take on the role of protagonist [1]. …”
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Network analysis of comorbidity patterns in heart failure patients using administrative data by Francesca Ieva, Daniele Bitonti

“…Conclusions: Network analysis can be a useful tool in epidemiologic framework when relational data are the objective of the investigation, since it allows to visualize and make inference on patterns of association among nodes (here HF comorbidities) by means of both qualitative indexes and clustering techniques.…”
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Cost-Effective Surface Quality Measurement and Advanced Data Analysis for Reamed Bores by Thomas Jäkel, Sebastian Unsin, Benedikt Müller, Frank Schirmeier

“…Utilizing a CNC-controlled gantry coupled with a mobile roughness measurement device through a compliant mechanism, surface data of every bore were efficiently gathered and processed. …”
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A Method for Automatically Locating Defects in CCTV Inspection Data of Sewer Pipes by Jun Tang, Jisheng Xia, Zhiqiang Xie, Zhaoyong Li, Yuting Zhang

“…Currently, spatial localization of sewer defects in closed circuit television (CCTV) inspection data is primarily performed through manual visual inspections by professional technicians, which is time-consuming and costly. …”
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Feasibility Study of Location Authentication for IoT Data Using Power Grid Signatures by Mudi Zhang, Charana Sonnadara, Sahil Shah, Min Wu

“…Ambient signatures related to the power grid offer an under-utilized opportunity to verify the time and location of sensing data collected by the Internet-of-Things (IoT). Such power signatures as the Electrical Network Frequency (ENF) have been used in multimedia forensics to answer questions about the time and location of audio-visual recordings. …”
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Tight sandstone fluid detection technology based on multi-wave seismic data by Yutan Dou, Daxing Wang, Mengbo Zhang, Fei Li, Guanghong Du, Yonggang Wang, Yuhua Zhao, Feng Liu, Yan Huang, Jie Zhang, Xiaojie Cui, Ligang Huang, Jun Zhu

“…It is difficult to identify gas and water by conventional P-wave seismic data without fully utilizing reservoir P-wave and S-wave information. …”
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Text Data Security Using LCG and CBC with Steganography Technique on Digital Image by Muhammad Wildan, Wahid Miftahul Ashari

“…Tests were conducted on images with JPEG and BMP formats to measure the visual quality after the data insertion process, as measured by PSNR (Peak Signal-to-Noise Ratio). …”
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Non-customized data asset evaluation based on knowledge graph and value entropy. by Wei Zhang, Yan Gong, Zhinan Li, Yuefeng Xu

“…With the rapid expansion of non-customized data assets, developing reliable and objective methods for their valuation has become essential. …”
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A performance-driven hybrid text-image classification model for multimodal data by Swati Gupta, Bal Kishan

“…It addresses multi-type data—that which combines text and visual data. The HTIC model is presented in this work along with text and image categorization. …”
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Dataset for Traffic Accident Analysis in Poland: Integrating Weather Data and Sociodemographic Factors by Łukasz Faruga, Adam Filapek, Marta Kraszewska, Jerzy Baranowski

“…To investigate the underlying factors contributing to these accidents, we developed a multifactorial dataset integrating 250,000 accident records from 2015 to 2023 with spatially interpolated weather data and sociodemographic indicators. We employed Kriging interpolation to convert point-based weather station data into continuous surfaces, enabling the attribution of location-specific weather conditions to each accident. …”
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Data-driven microstructural optimization of Ag-Bi-I perovskite-inspired materials by Kshithij Mysore Nandishwara, Shuan Cheng, Pengjun Liu, Huimin Zhu, Xiaoyu Guo, Fabien C.-P. Massabuau, Robert L. Z. Hoye, Shijing Sun

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Scouting Biomarkers for Alzheimer’s Disease via Network Analysis of Exosome Proteomics Data by Alexis Sagonas, Avgi E. Apostolakou, Zoi I. Litou, Marianna H. Antonelou, Vassiliki A. Iconomidou

“…<b>Methods</b>: To detect possible links between amyloid proteins and exosomes, protein data from amyloidosis-isolated exosomes were collected and visualized using biological networks. …”
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Extraction of Earth Surface Texture Features from Multispectral Remote Sensing Data by Zhenxing Zhang, Feng Gao, Bin Ma, Zhiqiang Zhang

“…Remote sensing data contain rich information of earth surface texture features (image gray reflecting the spatial distribution information of texture features, for instance). …”
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Model-Driven Development of Web Augmenters for Facilitating Environmental Open Data Consumption by Paula Gonzalez-Martinez, Cesar Gonzalez-Mora, Irene Garrigos, Jose-Norberto Mazon, Jose M. Cecilia

“…To overcome this scenario, in this paper, we introduce a model-driven development approach to automatically generate maps as web augmenters to allow citizens to surf the Web while they 1) homogeneously access environmental open data, and 2) easily visualize this data on the map. …”
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Comparative analysis of the measurement parameters of the palatine tonsils according to LC and CBCT data by M. E. Balashova, Z. S. Khabadze, V. I. Popadyuk

“…However, СBCT allows to visualize the bounders better, to evaluate the tonsils from both sides, excluding the superimposition of soft tissue contours (soft palate, tongue) and bone structure (mandibular angle).Conclusions. …”
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Modeling a Born-Digital Factoid Prosopography using the TEI and Linked Data by Daniel L. Schwartz, Nathan P. Gibson, Katayoun Torabi

“…Most factoid prosopographies use relational databases to model data. Instead, SPEAR uses a customized TEI schema to model factoids that can be queried and visualized in an XML database as well as serialized in HTML for human viewers and in RDF for data sharing. …”
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