Applications of Robust Methods in Spatial Analysis by Selvakkadunko Selvaratnam

“…Spatial data analysis provides valuable information to the government as well as companies. …”
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DEVELOPMENT OF A SCIENTIFIC LITERACY INSTRUMENT BASED ON RIAU MALAY ETHNOSCIENCE IN SCIENCE SUBJECTS by Delfa Vioni Amalia, Aldeva Ilhami, Sa’diyatul Fuadiyah, Afdhal Kusumanegara

“…The research instruments used include questionnaires, observation sheets, interview sheets, and science literacy test instruments based on Riau Malay ethnoscience. The data analysis techniques consist of qualitative and quantitative descriptive data analysis. …”
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Transformer enabled multi-modal medical diagnosis for tuberculosis classification by Sachin Kumar, Shivani Sharma, Kassahun Tadesse Megra

“…Abstract Recently, multimodal data analysis in medical domain has started receiving a great attention. …”
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Analysis of spatio-temporal fungal growth dynamics under different environmental conditions by Liselotte De Ligne, Guillermo Vidal-Diez de Ulzurrun, Jan M. Baetens, Jan Van den Bulcke, Joris Van Acker, Bernard De Baets

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Cross-Modality 2D-3D Face Recognition via Multiview Smooth Discriminant Analysis Based on ELM by Yi Jin, Jiuwen Cao, Qiuqi Ruan, Xueqiao Wang

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Data Visualization and Prediction Model Analysis by Hua Ziyi

“…Data visualization plays an important role in the process of data analysis. It can transform complex data into intuitive charts, which helps us understand data more effectively. …”
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Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling by Yi Chen, Dan Chen, Niansheng Tang

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POLAND’S “FAMILY 500+” PROGRAM AS AN OPPORTUNITY TO SOLVE THE PROBLEMS OF FAMILY AND DEMOGRAPHIC POLICY by Anna Milewska, Daniel Błażejczyk

“…On the basis of the data analysis, conclusions were drawn and their nature explained. …”
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ANALYSIS OF CELLULAR REACTION TO IFN-γ STIMULATION BY A SOFTWARE PACKAGE GeneExpressionAnalyser by A. V. Saetchnikov, M. M. Yatskou, P. V. Nazarov, L. Vallar, V. V. Apanasovich

“…The algorithms of data analysis, differentially expressed genes and biological functions of the cell are described. …”
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POLAND’S “FAMILY 500+” PROGRAM AS AN OPPORTUNITY TO SOLVE THE PROBLEMS OF FAMILY AND DEMOGRAPHIC POLICY by Anna Milewska, Daniel Błażejczyk

“…On the basis of the data analysis, conclusions were drawn and theirnature explained. …”
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Broad Learning-Based Optimization and Prediction of Questionnaire Survey: Application to Mind Status of College Students by Lin Yu, Shejiao Ding

“…This paper focused on the data analysis using the recent developed broad learning method to obtain the learning model and then the prediction can be done. …”
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THE CONSTRUCTION OF INDIGENOUS IDENTITY BASED ON PESANTREN; ANALYSIS OF FAMILY LEADERSHIP FACTORS IN SHAPING SELF-IMAGE OF CHILDREN by Agus Nu'man

“…This study employs a qualitative approach and a case study methodology. Data analysis in this research uses the Miles and Huberman data analysis technique, which includes data reduction, data display, and verification. …”
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BioLake: an RNA expression analysis framework for prostate cancer biomarker powered by data lakehouse by Qiaowang Li, Yaser Gamallat, Jon George Rokne, Tarek A. Bismar, Reda Alhajj

“…In this paper, a data framework named BioLake is presented that provides minimalist interactive methods to help researchers conduct bioinformatics data analysis. Unlike some existing analytical tools on the market, BioLake supports a wide range of web-based bioinformatics data analysis for public datasets, while allowing researchers to analyze their private datasets instantly. …”
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Implementation of Differentiated Learning in Improving Problem-solving Skills in Collaborative Projects Based on Science and Technology by Desy Aprima, Sasmita Sari

“…The data collection techniques used in this study were tests with objective test types, observations to observe the learning process directly and interviews to dig deeper into the views of the research subjects. The data analysis techniques in the study were descriptive quantitative data analysis and descriptive qualitative data analysis. …”
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DataLab as a Service: Distributed Computing Framework for Multi-Interactive Analysis Environments by Aida Palacio Hoz, Andres Heredia Canales, Ezequiel Cimadevilla Alvarez, Marta Obregon Ruiz, Alvaro Lopez Garcia

“…During the current data era, data analysis across multiple disciplines has become a critical task for researchers to obtain meaningful insights and solve complex problems that are immeasurable using traditional technologies. …”
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Bimbingan Karier dengan Teknik Modeling untuk Mengembangkan Kematangan Karier Peserta Didik by Shidratul Attika, Juntika Nurihsan, Amin Budiamin

“…The research samples were determined by implementing a purposive sampling technique. Data analysis used the Independent Sample T-Test. The results of data analysis showed the t value of 10.678 > t table 1.746, then the career maturity of the experimental group students after given career guidance intervention with modeling techniques was higher than the control group students who were not given intervention. …”
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Gait Signal Analysis with Similarity Measure by Sanghyuk Lee, Seungsoo Shin

“…Therefore, high dimensional data analysis was considered via heuristic technique such as the similarity measure. …”
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Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm by Fuxing He

“…In this paper, we use a neural network to realize big data analysis of sports injury data. Big data network is a method of capturing Internet information by means of cloud computing, which is usually used in the construction of Wan and LAN. …”
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Analysis of College Students’ Physical Health Test Data Based on Big Data and Health Promotion Countermeasures by Ming Li, Fengcai Wang

“…In order to improve the data analysis and health promotion effect of college students' physical health test, this paper combines the big data technology to carry out the analysis and health promotion system of college students’ physical health test data. …”
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Ontology of Mathematical Modeling Based on Interval Data by Mykola Dyvak, Andriy Melnyk, Artur Rot, Marcin Hernes, Andriy Pukas

“…Mathematical models built using interval data analysis are quite effective in many applications, as they have “guaranteed” predictive properties, which are determined by the accuracy of experimental data. …”
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