<tt>ssc-cdi</tt>: A Memory-Efficient, Multi-GPU Package for Ptychography with Extreme Data by Yuri Rossi Tonin, Alan Zanoni Peixinho, Mauro Luiz Brandao-Junior, Paola Ferraz, Eduardo Xavier Miqueles

“…We demonstrate ptychographic reconstruction of beamline data and present benchmarks for the package. Results show that <tt>ssc-cdi</tt> effectively handles extreme datasets typical of modern X-ray facilities without significantly compromising performance, offering a complementary approach to well-established packages of the community and serving as a robust tool for high-resolution imaging applications.…”
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ShrimpDiseaseBD: An image dataset for detecting shrimp diseases in the aquaculture sector of BangladeshMendeley Data by Mohammad Manzurul Islam, Anabil Sarker, Ashiquzzaman Choudhury, Noortaz Ahmed, Ahmed Abdal Shafi, Nishat Tasnim Niloy, Md Shorif Hossain, Md Sawkat Ali, Abdullahi Chowdhury, Md. Hasanul Ferdaus

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A Novel Data-Driven Fault Diagnosis Algorithm Using Multivariate Dynamic Time Warping Measure by Jiangyuan Mei, Jian Hou, Hamid Reza Karimi, Jiarao Huang

“…Process monitoring and fault diagnosis (PM-FD) has been an active research field since it plays important roles in many industrial applications. In this paper, we present a novel data-driven fault diagnosis algorithm which is based on the multivariate dynamic time warping measure. …”
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MSD-Net: Multi-scale dense convolutional neural network for photoacoustic image reconstruction with sparse data by Liangjie Wang, Yi-Chao Meng, Yiming Qian

“…Despite its excellent imaging capabilities, PAI still faces numerous challenges in clinical applications, particularly sparse spatial sampling and limited view detection. …”
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Advanced BLB disease assessment in paddy fields using multispectral UAV data and patch fragmentation metrics by Arif K Wijayanto, Lilik B Prasetyo, Sahid Agustian Hudjimartsu, Gunardi Sigit, Chiharu Hongo

“…This advancement enhances the precision of BLB damage assessment, particularly for applications such as crop insurance.…”
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Triple Spectral Line Imaging of Whole-Body Human Skin: Equipment, Image Processing, and Clinical Data by Janis Spigulis, Uldis Rubins, Edgars Kviesis-Kipge, Inga Saknite, Ilze Oshina, Egija Vasilisina

“…Multispectral imaging can provide objective quantitative data on various clinical pathologies, e.g., abnormal content of bio-substances in human skin. …”
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The Use of Big Data to Improve Human Health: How Experience From other Industries Will Shape the Future by Timothy E Hewett, Greg Olsen, Mark Atkinson

“…The concepts discussed can provide a starting point in which health and human performance-focused stakeholders can begin to align well-established data science applications from other domains to further enable innovative health and performance solutions.…”
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Server consolidation: A technique to enhance cloud data center power efficiency and overall cost of ownership by Mueen Uddin, Mohammed Hamdi, Abdullah Alghamdi, Mesfer Alrizq, Mohammad Sulleman Memon, Maha Abdelhaq, Raed Alsaqour

“…A cloud data center encompasses thousands of millions of physical server machines arranged in racks along with network, storage, and other equipment that entails an extensive amount of power to process different processes and amenities required by business firms to run their business applications. …”
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Analysis of meteorological effects of cosmic ray neutron component based on data from mid-latitude stations by Kobelev P. G., Hamraev Y. B., Yanke V. G.

“…The technique developed on the basis of multifactor correlation analysis is applicable to processing data from any detectors of the worldwide network of neutron monitors. …”
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The magnetic permeability signature in high-frequency electromagnetic data modeling: a case study for GPR approximation by Alejandra I. Sánchez, Luis A. Gallardo

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Mapping Data to Concepts: Enhancing Quantum Neural Network Transparency with Concept-Driven Quantum Neural Networks by Jinkai Tian, Wenjing Yang

“…CD-QNN merges the representational capabilities of QNNs with the transparency of self-explanatory models by mapping input data into a human-understandable concept space and making decisions based on these concepts. …”
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COMPONENT FOR REMOTE DATA AVAILABILITY BASED ON THE ESP32 MICROCONTROLLER, A WIRELESS INTERFACE AND THE HTTP PROTOCOL by David Alejandro Chentes Ramos, Thaily Blanco Baro, Fidel Ernesto Hernández Montero

“…The results validate the effectiveness of the system for industrial applications, demonstrating its capability to handle data remotely and ensure proper storage and visualization. …”
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A comprehensive dataset and neural network approach for named entity recognition in the Uzbek languageMendeley Data by Davlatyor Mengliev, Vladimir Barakhnin, Mukhriddin Eshkulov, Bahodir Ibragimov, Shohrux Madirimov

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A Differential Evolutionary-Based XGBoost for Solving Classification of Physical Fitness Test Data of College Students by Baoyue Liang, Weifu Qin, Zuowen Liao

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The Lambert Way to Gaussianize Heavy-Tailed Data with the Inverse of Tukey’s h Transformation as a Special Case by Georg M. Goerg

“…Parameters can be estimated by maximum likelihood and applications to S&P 500 log-returns demonstrate the usefulness of the presented methodology. …”
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Modeling of spatial extremes in environmental data science: time to move away from max-stable processes by Raphaël Huser, Thomas Opitz, Jennifer L. Wadsworth

“…Environmental data science for spatial extremes has traditionally relied heavily on max-stable processes. …”
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Existence and Uniqueness of Renormalized Solution to Nonlinear Anisotropic Elliptic Problems with Variable Exponent and L1-Data by Ibrahime Konaté, Arouna Ouédraogo

“…−Leray–Lions operator, a graph, and L1 data. In particular, we establish the uniqueness of the solution when the graph data are considered a strictly increasing function.…”
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Automated Generation of Geometric FE Models for Timber Structures Using 3D Point Cloud Data by Lin Chen, Liufang Jiang, Haibei Xiong

“…It effectively addresses challenges arising from occlusions and incomplete point cloud data through boundary inference and contact relationship analysis. …”
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Participant Adherence in Repeated-Dose Clinical Studies Using Video-Based Observation: Retrospective Data Analysis by Seunghoon Han, Jihong Song, Sungpil Han, Suein Choi, Jonghyuk Lim, Byeong Yeob Oh, Dongoh Shin

“…In Korea, a system applicable to the clinical trial context has been developed and used. …”
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Assessing Teaching Effectiveness in Journalism and Communication: A Data-Driven Perspective Using HyperSoft Set by Xiaoxi Zhang

“…This study evaluates teaching effectiveness through a data-driven approach, utilizing Multi-Criteria Decision-Making (MCDM) methodologies integrated with the HyperSoft set to handle the uncertainty and variability of decision criteria. …”
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