EARTHQUAKE FREQUENCY DATA MODELING IN MENTAWAI USING FUZZY TIME SERIES LEE AND FUZZY TIME SERIES TSAUR by Septri Damayanti, Jose Rizal, Siska Yosmar, Nur Afandi, Vivin Acnesya

“…In this study, we will model earthquake frequency data in Mentawai using FTS Lee and FTS Tsaur. The seismicity data used in this study is earthquake frequency data in the Mentawai which are calculated from 1960 to 2022. …”
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Revealing spatiotemporal variations in areas potentially linked to COVID-19 spread using fine-grained population data by Nobumasa Ishida, Masashi Toyoda, Kazutoshi Umemoto, Koji Zettsu

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AI-Generated Questions in Context: A Contextualized Investigation Using Platform Data, Student Feedback, and Faculty Observations by Rachel Van Campenhout, Benny G. Johnson, Michelle Clark, Melissa Deininger, Shannon Harper, Kelly Odenweller, Erin Wilgenbusch

“…Previous research studies used aggregated data from all questions answered by all students to complete the largest evaluation of the performance metrics for automatically generated questions. …”
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Designing a Model for Implementing Digital Banking Policy Based on Using Big Data in Iranian Banking Industry by Rahmatollah Gholipour Souteh, Hamed Esmaeili Rad

“…The research emphasizes the pivotal role of big data technology, which has received limited attention but has a significant impact on achieving the goals and ensuring the optimal implementation of digital banking. …”
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A comprehensive review of methodologies and application to use the real-world data and analytics platform TriNetX by Ralf J. Ludwig, Ralf J. Ludwig, Ralf J. Ludwig, Matthew Anson, Matthew Anson, Henner Zirpel, Diamant Thaci, Henning Olbrich, Katja Bieber, Khalaf Kridin, Khalaf Kridin, Khalaf Kridin, Astrid Dempfle, Philip Curman, Philip Curman, Philip Curman, Philip Curman, Sizheng S. Zhao, Uazman Alam, Uazman Alam, Uazman Alam

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Inverse Modeling Using Taylor Expansion Approach and Jacobi Matrix on Magnetic Data (Dyke/Magma Intrusion Cases) by Agus Suprianto, Wahyudi Wahyudi, Wiwit Suryanto, Ari Setiawan, Aryono Adhi, Nurul Priyantari, Supriyadi Supriyadi, Agus Subekti

“…The mathematical modelling of geological structures, i.e. magma intrusion or dyke, has been done,  based on magnetic data with inversion techniques using MatLab. …”
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Data-driven joint routing, topology, and mobility design for FANET systems using a digital twin approach by Basma M. Mohammad El-Basioni

“…The current work is based on the idea of exploiting the use of drones in conveying data for building digital twin in building digital twin of the drones system itself such that the joint design can be realized. …”
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Transmission and control pressure analysis of the COVID-19 epidemic situation using multisource spatio-temporal big data. by Fangxiong Wang, Ziqian Tan, Zaihui Yu, Siqi Yao, Changfeng Guo

“…Taking the Guangdong-Hong Kong-Macao Greater Bay Area as the research area, this paper used OD cluster analysis based on Baidu migration data from January 11 to January 25 (before the sealing-off of Wuhan) and concluded that there is a significant correlation 1the migration level from Wuhan to the GBA and the epidemic severity index. …”
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Slow motion in corona times: Modeling cyclists’ spatial choice behavior using real-time probe data by Karima Kourtit, John Osth, Peter Nijkamp, Umut Türk

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Accurate and Effective Data Collection with Minimum Energy Path Selection in Wireless Sensor Networks using Mobile Sinks by Ghaida Muttashar Abdulsahib, Osamah Ibrahim Khalaf

“…Even though energy consumption is the greatest challenge confronting WSNs, it is essential to analyse the feasibility of the use of mobile components for the data collection on WSN networks. …”
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Detection of sea urchins (Diadema setosum) colony distribution on UAV imagery data using fuzzy logic approach

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Evaluating Transit-Oriented Development Performance: An Integrated Approach Using Multisource Big Data and Interpretable Machine Learning by Huadong Chen, Kai Zhao, Zhan Zhang, Haodong Zhang, Linjun Lu

“…Using Shanghai, China, as a case study, the methodology employed 26 widely used indicators related to TOD development and utilized a BP neural network model trained in a sample space of 77 rail transit TOD stations, aiming to predict the four critical station performance indicators. …”
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Tropospheric NO2 Trends over South Asia during the Last Decade (2004–2014) Using OMI Data by Zia ul-Haq, Salman Tariq, Muhammad Ali

“…The focus of this study is to assess spatiotemporal variability of tropospheric NO2 over South Asia using data from spaceborne OMI during the past decade (2004–2015). …”
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Assessment of Vertical Redistribution of Electron Density in Ionosphere During an X-Class Solar Flare Using GNSS Data by Susanna Bekker

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Chitosan Biomedical Applications for the Treatment of Viral Disease: A Data Mining Model Using Bibliometric Predictive Intelligence by Worasak Klongthong, Veera Muangsin, Chupun Gowanit, Nongnuj Muangsin

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Inferring the historical demography of southern African cheetahs (Acinonyx jubatus) using Bayesian analyses of molecular genetic data by Ezequiel Chimbioputo Fabiano, Sandro Luis Bonatto, Anne Schmidt-Küntzel, Stephen J. O’Brien, Laurie Marker, Eduardo Eizirik

“…Different hypotheses have been proposed to explain this pattern of low diversity, and require additional scrutiny. Here, we used published microsatellite data and coalescence-based analytical methods to explore the historical demography of the largest free-ranging cheetah population, aiming to assess whether present-day diversity may have been impacted by a historical demographic decline. …”
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Improved F-DBSCAN for Trip End Identification Using Mobile Phone Data in Combination with Base Station Density by Haihang Jiang, Fei Yang, Xin Zhu, Zhenxing Yao, Tao Zhou

“…Trip end identification based on mobile phone data has been widely investigated in recent years. …”
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Comparison of K-Means and K-Medoids Algorithms for Clustering Poverty Data in South Sumatra Using DBI Evaluation by M. Dandi Akhda, Ken Ditha Tania

“…This research also aims to analyze the poverty level in South Sumatra Province by including additional variables such as average years of schooling and per capita expenditure in the community in each regency or city in South Sumatra Province. Data clustering is done by both algorithms and then the performance value is Evaluated using Davies Bouldin Index DBI shows that K-Means gives better results, with a lower DBI value (0.204 at K=5) while K-Medoids has a DBI value of 0.239 at K=5, which indicates more compact and separated clusters. …”
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Evaluation of Pharmaceutical Companies Introduced in Tehran Stock Exchange Using Balanced Scorecard Method and Data Envelopment Analysis by Fatemeh Sadat Aghaei, Majid Annabi

“…This model has been implemented using DEA-Solver software. …”
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A Robust U-Net-Based Approach for Accurate Brain Tumor Segmentation Using Multimodal MRI Data by Mohammad Talal Ghazal

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