Integrated land use and transportation modelling and planning: A South African journey by Louis Waldeck, Quintin van Heerden, Jenny Holloway

“…This paper describes how an Urban Simulation Model was developed by adapting one of the leading microsimulation models (UrbanSim) originating from the developed world to South African conditions and how the requirements for microscopic data about the base year of a simulation were satisfied in a sparse data environment by introducing various typologies. …”
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Short-Term Energy Consumption Forecasting Analysis Using Different Optimization and Activation Functions with Deep Learning Models by Mehmet Tahir Ucar, Asim Kaygusuz

“…Modelling events that change over time is one of the most difficult problems in data analysis. Forecasting of time-varying electric power values is also an important problem in data analysis. …”
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The BRAIN Initiative data-sharing ecosystem: Characteristics, challenges, benefits, and opportunities by Sudhanvan Iyer, Kathryn Maxson Jones, Jill O Robinson, Nicole R Provenza, Dominique Duncan, Gabriel Lázaro-Muñoz, Amy L McGuire, Sameer A Sheth, Mary A Majumder

“…Second, our analysis supports the development of empirically informed policy and practice aimed at making neuroscience data more findable, accessible, interoperable, and reusable.…”
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Construction, visualisation, and clustering of transcription networks from microarray expression data. by Tom C Freeman, Leon Goldovsky, Markus Brosch, Stijn van Dongen, Pierre Mazière, Russell J Grocock, Shiri Freilich, Janet Thornton, Anton J Enright

“…However, while microarray gene expression datasets are now abundant and of high quality, few approaches have been developed for analysis of such data in a network context. …”
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Exploring Barriers to the Adoption of Digital Technologies for Circular Economy Practices in the Construction Industry in Developing Countries: A Case of Ghana by Hayford Pittri, Godawatte Arachchige Gimhan Rathnagee Godawatte, Osabhie Paul Esangbedo, Prince Antwi-Afari, Zhikang Bao

“…This study examines the critical barriers to digital technology adoption for circular economy implementation in the construction industry in developing countries, using Ghana as a case study. A structured quantitative approach was employed, integrating mean score ranking, exploratory factor analysis, and fuzzy synthetic evaluation to assess the severity of identified barriers. …”
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Information Fusion Algorithm for Big Data in Digital Publishing Industry Chain by Haixiang He

“…This paper studies the information of big data in the digital publishing industry chain and adopts advanced algorithms for its fusion calculation. …”
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PCR and Bio-signature for data confidentiality and integrity in mobile cloud computing by Sreeja Cherillath Sukumaran, Mohammed Misbahuddin

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Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses by İsmail Baydili, Burak Tasci, Gülay Tasci

“…Artificial intelligence (AI) has emerged as a transformative force in psychiatry, improving diagnostic precision, treatment personalization, and early intervention through advanced data analysis techniques. This review explores recent advancements in AI applications within psychiatry, focusing on EEG and ECG data analysis, speech analysis, natural language processing (NLP), blood biomarker integration, and social media data utilization. …”
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Traffic prediction and load balancing based on in-band network telemetry data by ZHANG Xu, ZHAO Chenxi, FENG Chuan, WEN Ting, LIU Wei, GUO Lei

“…To address the challenges of massive telemetry data analysis in network operation and management, a network control automation system was designed. …”
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Análise das práticas de gestão PDP em empresas de um polo industrial de revestimento cerâmico Analysis of PDP management in the ceramic tile industry pole by Marcela Avelina Bataghin Costa, José Carlos de Toledo

“…Compilation and statistical analysis of these data were later performed. The cluster analysis and correlation indicated the existence of two distinct groups of companies with respect to general characteristics, and the main difference regarded the formalization of the PDP activities. …”
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Cloud-edge collaborative data anomaly detection in industrial sensor networks. by Tao Yang, Xuefeng Jiang, Wei Li, Peiyu Liu, Jinming Wang, Weijie Hao, Qiang Yang

“…To solve the limitations above, this paper develops a cloud-edge collaborative data anomaly detection approach for industrial sensor networks that mainly consists of a sensor data detection model deployed at individual edges and a sensor data analysis model deployed in the cloud. …”
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University students' self-assessment of data literacy: A validation study. by Jeonghyun Kim, Lingzi Hong, Ayoung Yoon

“…This study demonstrated the 29-item refined version of the DLSES to be a reliable and valid tool for measuring individuals' self-efficacy levels for data literacy. Furthermore, the scale could form the basis for curriculum development and help educators design targeted interventions that address specific learning needs.…”
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Predictive model of malignancy probability in pulmonary nodules based on multicenter data by Yuyan Huang, Yong Chen, Fang He, Li Jiang

“…ObjectivesTo study the characteristic factors associated with the occurrence of malignant nodules in patients presenting with pulmonary nodules, develop a predictive model, and evaluate its diagnostic performance.MethodsThis study analyzed the clinical and imaging data of 830 patients with pulmonary nodules from the Affiliated Hospital of North Sichuan Medical College. …”
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The Role of Digitalization in Data-Driven Decision Making in Supply Chain Management by I. G. Kamenev, D. A. Porohovnik

“…However, new systems that provide for the processing, storage, and analysis of data, as well as the visualization of this information and the results of its analysis, make it possible to link strategic goal-setting, KPIs, and supply chain resilience management directly with data flows about functional business processes, creating a “digital twin” of the enterprise. …”
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AI lifecycle from a data-driven perspective: a systematic review by Di Wang, Ruiyang Chen, Chuanni Li, Shanshan Gu

“…This study aims to review and synthesize AI lifecycle models in current literature from a data-driven perspective and recognize the roles of data in different stages of the lifecycle. …”
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Enhancing Security in International Data Spaces: A STRIDE Framework Approach by Nikola Gavric, Andrii Shalaginov, Aliaksei Andrushevich, Andreas Rumsch, Andrew Paice

“…This paper provides a framework for performing a STRIDE-based threat analysis of the IDS. Using the proposed methodology, we identified the most potent threats and suggested solutions, thus contributing to the development of a safer and more resilient data space architecture.…”
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Studying Discourse from Corpus and Experimental Data: Bridging the Methodological Gap by Ludivine Crible

“…This paper starts from the observation that in discourse analysis, unlike in other fields of linguistics, very few studies combine corpus-based and experimental data. …”
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Improvement of data flow management in the air traffic control automation system by Ganna Kalashnyk, Myroslava Kalashnyk-Rybalko, Artem Mykhailetskyi

“…Recommendations have been developed for optimizing data flow processing, including improving technological solutions, increasing the level of automation, and implementing strategies to reduce stress on controllers. …”
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Data-Driven Social Security Event Prediction: Principles, Methods, and Trends by Nuo Xu, Zhuo Sun

“…Social security event prediction can provide critical early warnings and support for public policies and crisis responses. The rapid development of communication networks has provided a massive data analysis base, including social media, economic data, and historical event records, for social security event prediction based on data-driven approaches. …”
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Nondestructive Testing for Wheat Quality with Sensor Technology Based on Big Data by Yan-Ge Tian, Zheng-Nan Zhang, Shuang-Qi Tian

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