Construction and Application of Media Corpus Based on Big Data by Bochun Yin, Lei Fu

“…Then, the state characteristics and probability distribution of feature data are determined by dynamic Bayesian network, the relationship between the state variables and dimensions of media corpus data is determined, and the media corpus data state is processed by component to complete the preprocessing of media corpus data; finally, through the application research of storage and encryption of the designed database through big data technology, the storage structure data and encryption secret key are designed to realize the construction and application of media corpus. …”
Get full text

Methods for Constructing Artificial Neural Networks for Data Classification by L. V. Serebryanaya

“…Trained networks are used to classify data. Both networks showed acceptable classification accuracy of the results obtained in the course of the students’ knowledge testing.…”
Get full text

An autoencoder for compressing angle-resolved photoemission spectroscopy data by Steinn Ýmir Ágústsson, Mohammad Ahsanul Haque, Thi Tam Truong, Marco Bianchi, Nikita Klyuchnikov, Davide Mottin, Panagiotis Karras, Philip Hofmann

“…Angle-resolved photoemission spectroscopy (ARPES) is a powerful experimental technique to determine the electronic structure of solids. Advances in light sources for ARPES experiments are currently leading to a vast increase of data acquisition rates and data quantity. …”
Get full text

Reading fluency: normative data for Romanian speaking population by Carolina Bodea Hategan, Dorina Talas, Carmen Costea-Bărluțiu, Raluca Trifu

Get full text

Providing Web Archive News Articles as Corpus Data by Jon Carlstedt Tønnessen, Magnus Breder Birkenes

“…While the huge data repositories of web archives carry big potential for knowledge production in academia, researchers have described significant challenges when trying to access and make use of web archives in research. …”
Get full text

THE SCOPE OF FARMS SUSTAINABILITY TOOLS BASED ON FADN DATA by Vida DABKIENĖ

“…This paper reviews recent reports on the farm sustainability assessment, in particular, the farm sustainability assessments based on EU Farm Accountancy Data Network (FADN). The most commonly-used data source for evaluation of farms economic, social and environment sustainability is farmers’ survey, employing structured questionnaire or/and in-depth interview. …”
Get full text

Stair Scheduling for Data Collection in Wireless Sensor Networks by Jinbiao Chen, Yongcai Wang, Yuexuan Wang, Changjian Hu

“…Spatially organized clusters are basic structure for large-scale wireless sensor networks. …”
Get full text

Multi-scale Hochschild spectral analysis on graph data by Yunan He, Jian Liu

“…These innovations enabled us to extract multiscale topological and geometric features from graph data. We demonstrated the effectiveness of our method by analyzing the molecular structures of common drugs, such as ibuprofen and aspirin, producing visualized Hochschild feature curves that capture intricate topological properties. …”
Get full text

Data-driven model discovery with Kolmogorov-Arnold networks by Shirin Panahi, Mohammadamin Moradi, Erik M. Bollt, Ying-Cheng Lai

“…Data-driven model discovery of complex dynamical systems can be done using sparse optimization, but it has a fundamental limitation: sparsity in that the underlying governing equations of the system contain only a small number of elementary mathematical functions. …”
Get full text

Data feminism in museum collections: mapping principles to practices by Alexandria Rayburn

“…While museum practitioners are adept at understanding the limitations of their data schemas and organizing structures, further work is required to incorporate emotion and embodiment into museum data, as the current model relies on external researchers and community members for this. …”
Get full text

Trajectory Classification Through Topological Data Analysis Perspectives by Miriam Esteve, Antonio Falco

“…This paper examines the application of Topological Data Analysis (TDA) for trajectory classification, aiming to improve the interpretation of complex spatial movement patterns. …”
Get full text

Evaluation of Plaid Models in Biclustering of Gene Expression Data by Hamid Alavi Majd, Soodeh Shahsavari, Ahmad Reza Baghestani, Seyyed Mohammad Tabatabaei, Naghme Khadem Bashi, Mostafa Rezaei Tavirani, Mohsen Hamidpour

“…Two simulated matrices with different degrees of overlap and noise are generated and then the intrinsic structure of these data is compared with biclusters result. …”
Get full text

Emergent Technologies in Big Data Sensing: A Survey by Ting Zhu, Sheng Xiao, Qingquan Zhang, Yu Gu, Ping Yi, Yanhua Li

“…However, big data is a fuzzy data science concept and there is no existing research architecture for it nor a generic application structure in the field of sensing. …”
Get full text

Improved Asynchronous Federated Learning for Data Injection Pollution by Aiyou Li, Huoyou Li, Yanfang Liu, Guoli Ji

“…In view of the problems of data pollution, incomplete feature extraction, and poor multi-network parameter sharing and transmission under the federated learning framework of deep learning, this article proposes an improved asynchronous federated learning algorithm of multi-model fusion based on data injection pollution. …”
Get full text

Application of MMS Data to Road Bridge Maintenance Management by T. Misaki, K. Ogawa, S. Nishiyama, M. Yamamoto, K. Kimoto

“…The utilization of 3D data in maintenance management is also discussed.…”
Get full text

Drones and Drawings - methods of data acquisition, management, and representation by Francesca Picchio, Sandro Parrinello, Salvatore Barba

“…The common objective of these researches is to arrive at an effective configuration of integrated, verified, and discretized data, from which to structure valid multiscale and multilevel representation systems. …”
Get full text

A Survey on Data Selection for Efficient Speech Processing by Abdul Hameed Azeemi, Ihsan Ayyub Qazi, Agha Ali Raza

“…This survey provides a comprehensive overview and introduces a unifying taxonomy for data selection methods in speech processing, structured along three key dimensions: selection granularity (sample-level vs. segment-level), selection process (static, dynamic, or active learning), and selection criteria (uncertainty, diversity, or hybrid approaches). …”
Get full text

Application of сolored decorative coatings on structural steels surface by Semen M. Lipkin, Svetlana V. Kucherenko, Irina Y. Zhukova, Maria V. Kolchina

Get full text

Extraction of Multilayered Social Networks from Activity Data by Katarzyna Musial, Piotr Bródka, Przemysław Kazienko, Jarosław Gaworecki

“…The data gathered in all kinds of web-based systems, which enable users to interact with each other, provides an opportunity to extract social networks that consist of people and relationships between them. …”
Get full text

Data Reduction Method for Synthetic Transmit Aperture Algorithm by Piotr KARWAT, Ziemowit KLIMONDA, Michał SĘKLEWSKI, Marcin LEWANDOWSKI, Andrzej NOWICKI

“…Ultrasonic methods of human body internal structures imaging are being continuously enhanced. …”
Get full text