Research and prospect of reversible data hiding method with contrast enhancement by Yang YANG, Wei-ming ZHANG, ong-dong HOUD, Hui WANG, Neng-hai YU

“…Reversible data hiding methods can recover the cover image losslessly after extracting the secret message from the marked image.Such technology can be used in the certification or the label of military,justice and medical images,which are sensitive and slight modification are not allowed.Especially for the medical images,RDH tech-nology can be used in protecting the privacy of the patient.A series of RDH methods with contrast enhancement ef-fect were introduced and classified into pixel-based histogram methods and prediction-error-based histogram meth-ods according to the type of carrier in RDH scheme.The main purpose of such algorithms was to improve the sub-jective visual quality of marked images and to embed secret data into cover image reversibly meanwhile.These se-ries of algorithms were suitable for the research of privacy protection of medical image.Finally,future development in this direction is prospected through analyzing the advantages and disadvantages of the existing work.…”
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Dataset for gait assessment in Parkinson's disease patientsMendeley Data by Luis Pastor Sánchez-Fernández

“…Nevertheless, the motor clinical assessment is based on visual observations, presenting the qualitative results, and the subtle differences are not recognized. …”
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Distributed Data Storage Instead of a Primarily Local Solution? by Severin Kolb, Matthias Schrinner

“…Technical requirements for interoperability and data integration across repositories are outlined, emphasizing the need for a seamless presentation system. …”
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Educational Data Mining by Optimally Fusing Shallow and Deep Features by Bo-An Xiao

“…First, the word vector permutation discourse poke model is extracted to produce audible vectors of message data, a well-designed learning algorithm is proposed subsequently to extract and fuse multiple heterogeneous educational data. …”
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Effective Graph Mining for Educational Data Mining and Interest Recommendation by Shasha Xu

“…The data layer consists of user data and a design library containing scholarship materials, study materials, and price sets. …”
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Integrated Fusion Network for Hyperspectral, Multispectral and Panchromatic Data Fusion by Jinyin Pan, Shidong Wang, Huachao Li, Zhanliang Yuan, Binbin Yuan, Jinyan Peng, Yuanyuan Liu

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BioVitrina web repository — access to data on bioresource collections by A. S. Bukreeva, K. A. Malsagova, A. A. Izotov, A. V. Lisitsa, A. L. Kaisheva

“…To develop the BioVitrina web repository for visualizing data on biological samples available in the organization (https://bb.ibmc.msk.ru).Material and methods. …”
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Exploratory Data Analysis of the Monkeypox Virus Using Machine Learning by Kiran Dhanaji Kale, Pranav More, Prabhdeep Singh

“…This is a kind of data analysis that uses visual approaches to examine the data. …”
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IDIOPATHIC LOBULAR PANNICULITIS IN RHEUMATOLOGY PRACTICE: THE AUTHORS’ OWN DATA by O. N. Egorova, B. S. Belov, S. I. Glukhova, S. G. Radenska-Lopovok

“…The literature contains almost no data on the diagnostic value of laboratory studies and therapeutic approaches, which served as the basis for this investigation. …”
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Recovering the polyhedral geometry of fragmentsThe manuscript contains the link to the data by János Török, Gábor Domokos

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Simulation and the reality gap: Moments in a prehistory of synthetic data by James Steinhoff, Sam Hind

“…Synthetic data is connected to simulation by the technical problem of the reality gap: the gap between the synthetic data a model is trained on and the real-world data it is deployed on. …”
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Advances and Emerging Trends in UAV Sensor Data Fusion Technology by Xiong Liukun, Zheng Ningning

“…The traditional single sensor system is limited in GNSS signal shading, IMU cumulative drift and visual photosensitivity, which seriously restricts the system reliability and adaptability of the system. …”
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Data Augmentation-Driven Improvements in Malignant Lymphoma Image Classification by Sandi Baressi Šegota, Vedran Mrzljak, Ivan Lorencin, Nikola Anđelić

“…However, the effectiveness of such methods is often constrained by the limited availability of annotated medical data. To address this challenge, data augmentation is frequently employed. …”
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Coherence: a new approach for analyzing interrelated serial data by Rebekka Mumm, Detlef Groth, Michael Hermanussen

“…Objectives to provide a method to eliminate linear trends from serially obtained data and to visualize agreement between these data. …”
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Open and Free Sentinel-2 Mowing Event Data for Austria by Petra Miletich, Marco Kirchmair, Janik Gregory Deutscher, Alexander Schippl, Manuela Hirschmugl

“…The validation procedure builds on a visual interpretation of the Panomax webcam archive complemented by a selection of field observations. …”
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ANALYSIS OF MUCOPOLYSACCHARIDOSIS TYPE 1 PROGRESSION BASED ON MRI DATA by E.V. Bogdanov

“…Magnetic resonance imaging (MRI) is the primary tool for visualizing structural changes in the brain; however, traditional MRI data analysis methods have several limitations related to subjective image interpretation and the high complexity of data processing. …”

Enhancing Wearable Fall Detection System via Synthetic Data by Minakshi Debnath, Sana Alamgeer, Md Shahriar Kabir, Anne H. Ngu

“…To assess the quality of the synthetic data, we use quantitative metrics, including the Fréchet Inception Distance (FID), Discriminative Score, Predictive Score, Jensen–Shannon Divergence (JSD), and Kolmogorov–Smirnov (KS) test, and visually inspect temporal patterns for structural realism. …”
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MONITORING DATA AGGREGATION OF DYNAMIC SYSTEMS USING INFORMATION TECHNOLOGIES by Dmytro Shevchenko, Mykhaylo Ugryumov, Sergii Artiukh

“… The subject matter of the article is models, methods and information technologies of monitoring data aggregation. The goal of the article is to determine the best deep learning model for reducing the dimensionality of dynamic systems monitoring data. …”
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Data-Driven Approaches in Antimicrobial Resistance: Machine Learning Solutions by Aikaterini Sakagianni, Christina Koufopoulou, Petros Koufopoulos, Sofia Kalantzi, Nikolaos Theodorakis, Maria Nikolaou, Evgenia Paxinou, Dimitris Kalles, Vassilios S. Verykios, Pavlos Myrianthefs, Georgios Feretzakis

“…It aims to determine the patterns from AMR gene data that are clinically relevant and, in public health, capable of informing strategies. …”
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Data Fusion and Dimensionality Reduction for Pest Management in Pitahaya Cultivation by Wilson Chango, Mónica Mazón-Fierro, Juan Erazo, Guido Mazón-Fierro, Santiago Logroño, Pedro Peñafiel, Jaime Sayago

“…This study addresses the critical need for effective data fusion strategies in pest prediction for pitahaya (dragon fruit) cultivation in the Ecuadorian Amazon, where heterogeneous data sources—such as environmental sensors and chlorophyll measurements—offer complementary but fragmented insights. …”
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