Development of a neural network model for spatial data analysis by E. O. Yamashkina, S. A. Yamashkin, O. V. Platonova, S. M. Kovalenko

“…The publicly available EuroSAT dataset used for initial validation of the proposed methodology is based on Sentinel-2 satellite imagery for training and testing machine learning models aimed at classifying land use/land cover systems. …”
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Shinyscreen: mass spectrometry data inspection and quality checking utility by Todor Kondić, Anjana Elapavalore, Jessy Krier, Adelene Lai, Hiba Mohammed Taha, Mira Narayanan, Emma L. Schymanski

“…Abstract Shinyscreen is an R package and Shiny-based web application designed for the exploration, visualization, and quality assessment of raw data from high resolution mass spectrometry instruments. …”
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Parallel fuzzy control: a self-learning control method with virtual-real interaction and mutual enhancement by Dewang CHEN, Jixiang OU

“…Fuzzy control has advantages such as interpretability and ease of implementation.However, it is limited by its weak self-learning capability, which makes it difficult to effectively utilize the large amount of data accumulated in the control process.Parallel control is a new intelligent control method that enables intelligent control with virtual-real interaction and mutual enhancement, effectively using the Internet and big data to achieve intelligent control.Fuzzy control and parallel control were combined as a new method, and the definition and framework of parallel fuzzy control were proposed and its possible applications were discussed.Parallel fuzzy control has the potential to extend the development direction of fuzzy control and become a new thinking for parallel control.It can effectively utilize big data and some machine learning algorithms based on data-driven to achieve self-learning control, while ensuring interpretability and credibility.…”
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Enhancing Energy Efficiency of Sensors and Communication Devices in Opportunistic Networks Through Human Mobility Interaction Prediction by Ambreen Memon, Sardar M. N. Islam, Muhammad Nadeem Ali, Byung-Seo Kim

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Deep learning based localisation and classification of gamma photon interactions in thick nanocomposite and ceramic monolithic scintillators by Mushen Shen, Ragy Abraham, Elise Cribbin, Harrison Gregor, Mitra Safavi-Naeini, Daniel Franklin

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Development of Islamic Value-Based Career Guidance Modules and Interactive Multimedia to Improve Students' Career Maturity by Moh. Yusuf Efendi, Riski Putra Ayu Distira

“…The research uses qualitative and quantitative data to follow the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. …”
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Integrating PhET Interactive Simulations to Enhance Students' Mathematical Understanding and Engagement in Learning Mixed Fractions by Slamet Arifin, Fazilah binti Razali, Winanjar Rahayu

“…The number of questions given in each test was 10 mathematical problems, and they were designed to assess students' mathematical understanding of mixed fractions. The quantitative data was analyzed by using descriptive statistics using SPSS 25, and the qualitative data was analyzed simultaneously using a qualitative data analysis cycle. …”
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Data Fusion and Dimensionality Reduction for Pest Management in Pitahaya Cultivation by Wilson Chango, Mónica Mazón-Fierro, Juan Erazo, Guido Mazón-Fierro, Santiago Logroño, Pedro Peñafiel, Jaime Sayago

“…This study addresses the critical need for effective data fusion strategies in pest prediction for pitahaya (dragon fruit) cultivation in the Ecuadorian Amazon, where heterogeneous data sources—such as environmental sensors and chlorophyll measurements—offer complementary but fragmented insights. …”
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The interaction between genetic predicted gut microbiome abundance and particulate matter on the risk of incident asthma in adults by Hehua Zhang, Yong Feng, Honghao Yang, Yuqian Li, Zheng Ma, Liuxin Li, Liangkai Chen, Yuhong Zhao, Lishen Shan, Yang Xia

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Effects of interactive loading interfaces for virtual reality game environments on time perception, cognitive load, and emotions by Yi-Ting Huang, Chih-Chieh Hsu, Tzu-Hsuan Wang

“…Drawing on theories of time perception and the stimulus-organism-response (SOR) model, we designed loading interfaces for a VR headset integrated with a physiological data collection module. Questionnaire surveys were also used to collect data from 58 participants on their emotions, time perceptions, and cognitive load experience with interactive and non-interactive VR loading interfaces. …”
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Epithelial and macrophage cell interaction in cervical cancer through single-cell RNA-sequencing and spatial analysis by Zhichao Wang, Long Cheng, Guanghui Li, Huiyan Cheng

“…This study explored the cellular composition and immunological landscape of CC using various genomic data sources.MethodsData from the Cancer Genome Atlas and Gene Expression Omnibus were analyzed, including single-cell RNA sequencing, spatial transcriptome analysis, and survival data. …”
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The Use of Technology in Evaluation Practice by Vanessa Jamieson, Tarek Azzam

“… Background: Evaluation practice is no longer limited to pencil and paper questionnaires, today technological advances allow evaluators to collect data with handheld devices, visualize information in interactive ways, and communicate instantaneously with stakeholders across the globe. …”
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INTERNATİONAL MİGRATİON AND AGRİCULTURAL SUSTAİNABİLİTY İN THE ÇUKUROVA REGİON: DETAİLED ANALYSİS OF SOCİO-ECONOMİC STRUCTURE AND MİGRATİON INTERACTİONS by Şinasi AKDEMIR, Ufuk GÜLTEKIN, Kasım Eren TUNA, Issaka Saidou ISMAILLA

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Developing Interactive PowerPoint to Teach Writing Recount Text for the Tenth Graders at SMK Yasmu Manyar by Muhammad Rizky, Ahmad Thoyyib Shofi

“…The data gathered was analyzed using descriptive qualitative method. …”
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Dynamic Gesture Recognition Algorithm Combining Global Gesture Motion and Local Finger Motion for Interactive Teaching by Li Jiashan, Li Zhonghua

“…Firstly, preprocessing of dynamic gesture data is carried out, including removing invalid gesture frames, completing gesture frame data and normalizing joint length. …”
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Design and Implementation of Virtual Reality Interactive Product Software Based on Artificial Intelligence Deep Learning Algorithm by Yi Wang, Junhai Sun

“…The results showed that by 50 gestures such as select object, attract object, zoom object, rotate object, shoot small box, exhale menu, and close the menu, the recognition rate is 100%, 94%, 96%, 100%, 92%, 100%, and 100%. The motion data of finger and palm are captured by nine axis sensor, and the gesture recognition is carried out by using artificial intelligence deep learning algorithm. …”
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The interaction of online co-creative performance in a paired-player mode with creative tendency as a moderator by Ching-Lin Wu

“…Additionally, participants completed the Creative Tendency Scale (CTS) as part of the data collection process. The collected performance data were used to analyze whether the creative performance of groups with different creative thinking abilities in interactive situations was moderated by creative tendency. …”
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Designing Project-Based Learning Syllabus for Speaking for Informal Interaction Course Integrating Local Coastal Culture by Hanifah Hanifah, Candra Muhammad, Nainggolan Elsa Ernawati, Firmansyah Bianca Naluri, Sartika Delita, Hasyim Taufiqurrahman

“…Two research instruments were used to gather the data: interview guideline and questionnaires. …”
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EXPERIMENTAL MODELLING OF MECHANISMS CAUSING OCCURRENCE OF SEISMIC OSCILLATION SOURCES IN CASE OF INTERACTIONS OF UNEVEN SURFACES IN FAULTS by V. V. Ruzhich, E. N. Chernykh, E. I. Ponomareva

“…Tribological effects of contact interaction of the uneven surfaces in the zone of sliding movements of the plate were recorded by strain gauges, linear displacement gauges and four Baikal-7HR seismic stations; such stations are commonly used for earthquake recording. …”
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The Effectiveness of Interactive Workshop Concerning Parenteral Methods of Administration of Medication on Nurses Knowledge toward Best Techniques by Ghona Abd El-Nasser Ali

“…The data were analyzed by using the SPSS, version 19. …”
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