Roadmapping in the Era of Uncertainty: How to Integrate Data-Driven Methods with Expert Insights by Sungjoo Lee, Kook Jin Jang, Myung Han Lee, Seong Ryong Shin

“…The research findings open a discussion regarding how to integrate data-driven methods with expert insights during roadmapping based on the trade-offs between the two types of data, that is, hard data for data-driven methods and soft data from expert insights, and suggest possible opportunities for future roadmapping developments. …”
Get full text

The Hybrid Market Segmentation of Electric Vehicles in Ukraine Using Data Science Methods by Andrusyk Yevhenii V., Guryanova Lidiya S.

“…To solve the tasks set, a comprehensive approach was applied, incorporating Data Science methods: descriptive statistics, data collection through Data Scraping techniques, natural language processing (NLP) for thematic modeling and sentiment analysis of the reviews, as well as cluster analysis using the k-means algorithm. …”
Get full text

Sampling for vegetative propagation: A phytosanitary status survey of grapevines collection by One Step RT-PCR method by М. Ізейрай

“…Considering the impact and the spread of these diseases, our objective was to analyse the presence of these two viruses in several grapevine varieties in grapevine collection at ATTC Vlore. Data gathered from plant pathogens serve to better understand and prevent the spread of pathogens, as a mandatory rule for the quality control of certified plant material during vegetative propagation. …”
Get full text

SCOUTING FOR POST-ROMAN COINAGE AT CARNUNTUM - AN UNUSUAL METHOD OF NUMISMATIC RESEARCH by Adolf Nedelik, Odhin Lerner

Get full text

Comparison between Statistical Approaches and Data Mining Algorithms for Outlier Detection by Annisa Putri Utami, Anwar Fitrianto, Khairil Anwar Notodiputro

“…So, identifying outliers before conducting data analysis is a crucial thing to do. Outlier detection methods/techniques were first pioneered by researchers in statistics. …”
Get full text

Design of Sports Training Improvement and Evaluation Method under the Background of Big Data by Baiqi Nie

“…We input the experimental data collected by big data into the trained model and compare the results with the evaluation results of experts. …”
Get full text

Evaluation method of e-government audit information based on big data analysis by Jingui He, Hansi Ya

“…With the continuous growth of e-government data, traditional audit methods face increasing limitations in handling large-scale data, leading to low processing efficiency and insufficient accuracy. …”
Get full text

An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection by Junfang Wang, Xiangxiong Li, Huike Zeng, Jianfu Lin, Shiming Xue, Jing Wang, Yanfeng Zhou

“…Ground-penetrating radar (GPR) is widely employed as a non-destructive tool for subsurface detection of transport infrastructures. Typically, data collected by high-frequency antennas offer high resolution but limited penetration depth, whereas data from low-frequency antennas provide deeper penetration but lower resolution. …”
Get full text

Calculation Method of Tunnel Over-Under Excavation Based on Point Cloud Data by ZHANG Zhipeng, CHENG Wenming, DU Run, CHEN Hetian

“…To accurately identify over-under excavation positions and calculate the over-under excavation, an excavation calculation model based on tunnel longitudinal section lines is proposed for this issue. [Method] Point cloud data collected by the 3D laser scanner are pre-processed and the tunnel central axis is extracted. …”
Get full text

Helmet (Health impact of e-bikes and e-scooters) study: Data collection methods and information gathered for the evaluation of the introduction of share hire schemes [version 1; peer review: 2 approved] by James Garbutt, Miranda EG Armstrong, Ben Spencer, Tim Jones, Sabina Sanghera, Ian Philips, Rayne Roberts, Lesley Welch, Ruth Salway, Frank de Vocht, Russell Jago

“…Methods This study employed a repeated cross-sectional design. …”
Get full text

An Automated Testing Method for Interlocking Data in Signaling System of Urban Rail Transit by LIU Huachao, HUANG Dinghui, LANG Hongxia, WANG Rongyue

“…To improve the testing efficiency of computer interlocking systems and shorten the testing cycle of urban rail transit projects, this paper proposes an automated testing method for interlocking data of signaling systems for urban rail transit. …”
Get full text

Identification and grading method of HCAs in gas pipelines based on multisource data fusion by Haoran TANG, Junnan XIONG, Zhiwei YONG, Wenjie CHEN, Aoru LIU, Qisheng WANG, Huiwen XIAO, Rongkang WANG

“…The study introduces an approach for identifying and grading HCAs in gas pipelines leveraging spatial and attribute information of buildings based on multi-source data. Methods Based on high-resolution orthoimages captured by unmanned aerial vehicles (UAVs), a Squeeze-and-Excitation U network (SEU-Net) was developed as a deep learning model. …”
Get full text

Research on the mechanism and key technologies for big data collection in education by Huanyou CHAI, Sannyuya LIU, Lingyun KANG, Yaxian ZHANG, Qing LI, Zhi LIU

“…The mechanism and its related technologies of data collection are the foundation of realizing the valuable potential of applying big data in education,and therefore are vital for the construction and application of big data in education.The contents,methods,means,standards and specifications of data collection of big data in education were outlined.Combining with the practical problems in the construction and application of big data in education,guidance on research on big data in education was provided,from the perspectives about balancing data sharing and privacy protection,driving data governance and talent acquisition,and improving the mechanisms and related technologies respectively.…”
Get full text

A novel method for grading urban socio-economic development levels based on NTL data and Landsat data by Xiang Hua, Jiehai Cheng, Yuke Meng, Rongji Luo

“…The normalization of assessing urban socio-economic development levels contributed to the formulation of sound urban development strategies. Traditional methods predominantly dependent on socio-economic statistics, frequently resulted in exorbitant data collection costs, significant time lags, and incomplete spatial coverage. …”
Get full text

Introducing effective parameters for predicting job burnout using a self-organizing method based on group method of data handling neural network. by Tingting Fan, Ehsan Nazemi

“…It was thus anticipated that the present study would use a group method of data handling (GMDH) neural network for analyzing the relationship of demographic factors, Coronavirus, resilience, and the burnout in startups. …”
Get full text

OVERVIEW OF MACHINE LEARNING METHODS FOR ACADEMIC SCHEDULING by O. Zanevych, Vitaliy Kukharskyy

Get full text

A Novel Convolutional Neural Network–Long Short-term Memory Model for Interplanetary Coronal Mass Ejection Detection by Junpei Li, Hong Chen, Jingjing Wang, Yanhong Chen, Bingxian Luo, Hao Deng

Get full text

Expert information technology in the collection and analysis of computer data by M. H. Shcherbakovskyi, S. O. Kolomiitsev

“…On the example of existing computer programs, the author demonstrates an experimental method of selecting a software product for solving the expert task of restoring destroyed computer data.…”
Get full text

Study on Data Modeling and Collection in OSS Based on Hadoop by Lei Lei, Jingwen Li, Dapeng Gong, Rui Wang, Lei Su, Ningjiang Chen

“…According to the data acquisition and the modeling problem of telecom operators facing in the construction of EDC, the data status and data characteristics in the OSS was analyzed, a modeling method of hierarchical classification of combing theory and data model management idea were proposed, the unification of OSS data collection, sharing the modeling and data concentration were realized. …”
Get full text

Collecting and Analyzing Eye-Tracking Data in Outdoor Environments by Karen M. Evans, Robert A. Jacobs, John A. Tarduno, Jeff B. Pelz

“…Here, we discuss each of these challenges and present solutions, which together define a general method useful for investigations relying on outdoor eye-tracking data. …”
Get full text