Solving the differential biochemical Jacobian from metabolomics covariance data. by Thomas Nägele, Andrea Mair, Xiaoliang Sun, Lena Fragner, Markus Teige, Wolfram Weckwerth

“…In contrast, due to a missing systematic linkage of the data with functional and predictive theoretical models of the underlying metabolic network the understanding of the resulting complex data sets is lacking far behind. …”
Get full text

The DaTa Encryption Based on Discrete Chaotic SYSTEMS AND MAPS by A. V. Sidorenko, K. S. Mulyarchik

Get full text

A New Mining and Protection Method Based on Sensitive Data by Xiaoyao Zheng, Yuqing Liu, Hao You, Liangmin Guo, Chuanxin Zhao

“…Finally, a K-anonymous algorithm based on dynamic rounding function is employed to achieve the protection of sensitive data. …”
Get full text

CAM: A quality control pipeline for MNase-seq data. by Sheng'en Hu, Xiaolan Chen, Ji Liao, Yiqing Chen, Chengchen Zhao, Yong Zhang

“…There is a strong need for a convenient and comprehensive approach to obtain dedicated quality control (QC) for MNase-seq data analysis. Here we developed CAM, which is a comprehensive QC pipeline for MNase-seq data. …”
Get full text

A Data-Driven Methodology for Quality Aware Code Fixing by Thomas Karanikiotis, Andreas L. Symeonidis

Get full text

Investigating the AGN-neutrino connection with public IceCube data by Kuhlmann Julian, Capel Francesca

Get full text

Mobile phone data for anticipating displacements: practices, opportunities, and challenges by Bilgeçağ Aydoğdu, Özge Bilgili, Subhi Güneş, Albert Ali Salah

“…To answer this question, in this paper, we examine the capacity of MPD to function as a tool for anticipatory analysis, particularly in response to natural disasters and conflicts that lead to internal or cross-border displacement. …”
Get full text

Data Processing Method in Medium Range Coastal Radar Complex by Dang Quang Hieu, Nguyen Xuan Truong

“…The servers and workstations make use of local area network (LAN), using standard Gigabit Ethernet technologies for local network communications. Acquisition, analysis, storage and distribution of target data is executed in servers, then the data is sent to automated operator stations (console), where functional operations for managing, identifying and displaying of target on digital situational map are performed.…”
Get full text

Crop Yield Prediction: Data Structure and Ai-Powered Methods by V. K. Kalichkin, K. Yu. Maksimovich, O. A. Aleshchenko, V. V. Aleshchenko

“…The most commonly used machine learning and deep learning methods are identified and their functional characteristics are examined in detail. Comparative analysis demonstrates that deep learning and hybrid approaches outperform traditional machine learning methods in terms of prediction accuracy, as measured by standard error metrics. …”
Get full text

Design of smart agriculture based on big data and Internet of things by Chunling Li, Ben Niu

“…With the wide application of Internet of things technology and era of large data in agriculture, smart agricultural design based on Internet of things technology can efficiently realize the function of real-time data communication and information processing and improve the development of smart agriculture. …”
Get full text

A Selective Overview of Quantile Regression for Large-Scale Data by Shanshan Wang, Wei Cao, Xiaoxue Hu, Hanyu Zhong, Weixi Sun

“…Large-scale data, characterized by heterogeneity due to heteroskedastic variance or inhomogeneous covariate effects, arises in diverse fields of scientific research and technological development. …”
Get full text

Same data, different results? Machine learning approaches in bioacoustics by Kaja Wierucka, Derek Murphy, Stuart K. Watson, Nikola Falk, Claudia Fichtel, Julian León, Stephan T. Leu, Peter M. Kappeler, Elodie F. Briefer, Marta B. Manser, Nikhil Phaniraj, Marina Scheumann, Judith M. Burkart

“…We investigated the impact of using different feature extraction (spectro‐temporal measurements, linear and Mel‐frequency cepstral coefficients (MFCC), as well as highly comparative time‐series analysis) and classification methods (discriminant function analysis, neural networks, random forests (RF), and support vector machines) on the consistency of caller identity classification accuracy across 16 mammalian datasets. …”
Get full text

Prefetching Scheme for Massive Spatiotemporal Data in a Smart City by Lian Xiong, Zhengquan Xu, Hao Wang, Shan Jia, Li Zhu

“…It maps the history of user access requests to the spatiotemporal attribute domain by analyzing the characteristics of spatiotemporal data in a smart city. According to the spatial locality and time stationarity of user access, correlation analysis is performed and variation rules are identified for the history of user access requests. …”
Get full text

Coal and gas outburst prediction based on data augmentation and neuroevolution. by Wenbing Shi, Ji Huang, Gaoming Yang, Shuzhi Su, Shexiang Jiang

“…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …”
Get full text

Data collection method for creating digital twin of planted forests by Sukhanov Yuriy V., Vasilev Aleksey S.

“…In order to attain this objective, the methodologies of analyzing scientific and technical literature, functional and technological analysis, and the brainstorming method were used. …”
Get full text

Association between monocyte-lymphocyte ratio and all-cause and cardiovascular mortality in patients with chronic kidney diseases: A data analysis from national health and nutritio... by Wenwu Liu, Shuwei Weng, Chenghui Cao, Yuting Yi, Yue Wu, Daoquan Peng

“…The partial correlation analysis results showed that even after adjusting for age, sex, and race, MLR is still correlated with blood glucose, lipid levels, and kidney function indicators. …”
Get full text

The role of clinical and anamnestic data in the primary diagnosis of genital endometrios by T. V. Skapchuk, I. V. Kalinovska

“…The aim of the study: on the basis of a retrospective analysis of patients’ disease histories, assessment of the presence of clinical and anamnestic data characteristic of genital endometriosis in accordance with the obtained results of pathohistologically confirmed endometriosis. …”
Get full text

greenfeedr: An R package for processing and reporting GreenFeed data by Guillermo Martinez-Boggio, Patrick Lutz, Meredith Harrison, Kent A. Weigel, Francisco Peñagaricano

“…Herein, we describe all functions implemented in the greenfeedr R package and present examples based on dairy cow data. …”
Get full text

Possibility of using remote sensing data for glaciological calculations and monitoring by V. G. Konovalov, V. A. Rudakov

“…Altitude and areal characteristics of glaciation of the Earth, as well as annual ELA and AAR values for a limited number of glaciers can be found in references [10, 15, 16, 18, 29]. According to these data, the analysis of the relations between ELA, AAR, annual mass balance of glaciers and its components was performed for use in the remote monitoring of glaciation. …”
Get full text

Cardiac disease diagnosis based on GAN in case of missing data. by Xing Chen, Na Zhang, Xiaohui Yang, Chunyan Wang, Qi Na, Tianyun Luan, Wendi Zhu, Chenjie Zhang, Chao Yang

“…Furthermore, the distribution deviation between the generated data and the real data is integrated into the loss function of the generative adversarial networks, improving their training stability and ensuring consistency between the generated data and the real data distribution. …”
Get full text