The urban-tech feedback loop: A surveillance and development data-walk in South Lake Union by Dillon Mahmoudi, Anthony Levenda, Alicia Sabatino

“…We examined how major technology companies like Amazon, Microsoft, and various property developers leverage the dual forces of urbanization and data gathering to shape urban environments in ways that serve their interests. …”
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Knowledge-based Word Tokenization System for Urdu by Asif Khan, Khairullah Khan, Wahab Khan, Sadiq Nawaz Khan, Rafiul Haq

“…In our tech-driven era, the exponential growth of textual data on the World Wide Web demands sophisticated tools for effective processing. …”
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N-dimensional Lomb Scargle Periodogram analysis of traveling ionospheric disturbances using ionosonde data by Joe Hughes, Ian Collett, Anastasia Newheart, Ryan Kelly, Walter Junk Wilson, Ken Obenberger, Russell Landry, Jonah Colman, Joe Malins

“…To the degree possible, we validate our findings from ionosonde data processed with the ND LSP by using an FFT-based method on line-of-sight TEC data from the same period and find similar wavelengths and periods for the large TIDs. …”
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Benchmarking In-Sensor Machine Learning Computing: An Extension to the MLCommons-Tiny Suite by Fabrizio Maria Aymone, Danilo Pietro Pau

“…The TCN model proved to be too large to fit within the memory constraints of the ISPU, primarily due to its greater capacity in terms of number of parameters, designed for processing more complex signals like EMG. This benchmark aims to guide the development of efficient AI solutions for In-Sensor Machine Learning Computing, fostering innovation in the field of Edge AI benchmarking, such as the one conducted by the MLCommons-Tiny working group.…”
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Artificial Intelligence Adoption in the European Union: A Data-Driven Cluster Analysis (2021–2024) by Costel Marian Ionașcu

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Data-Driven Customer Retention Strategies in E-Commerce: A Fuzzy Z-Number Approach by Siyin Hu, An Chen

“…This approach enables us to bring in quantitative and qualitative aspects of the decision-making process like the customers’ behavior, their preferences, and demographic data. …”
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A Neighborhood Approach for Using Remotely Sensed Data to Estimate Current Ranges for Conservation Assessments by Bethany A. Johnson, Gonzalo E. Pinilla‐Buitrago, Robert P. Anderson

“…However, the uncertainty around geographic coordinates can exceed the fine resolution of remotely sensed habitat data. Here, we present a novel methodological approach to reflect this reality by processing habitat data to maintain its fine resolution, but with new values characterizing a larger surrounding area (the “neighborhood”). …”
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Cross‐Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis by Zhixiang Guo, Xinming Wu, Luming Liang, Hanlin Sheng, Nuo Chen, Zhengfa Bi

“…However, geoscience faces challenges like lacking curated training data sets and high computational cost for developing specialized FMs. …”
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The Data-Driven Performance Prediction of Lattice Structures: The State-of-the-Art in Properties, Future Trends, and Challenges by Siyuan Yang, Ning Dai, Qianfeng Cao

“…Then the development process for the performance-prediction methods of lattice structures is summarized. …”
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Assessing Efficiency of the European Banking Sectors: an Application of the Network DEA by Emília Zimková, Ľubomír Pintér

“…The global financial crisis, sovereign debt crisis, Covid-19, and the invasion in Ukraine highlighted the need to optimise the production processes in banking sectors in Europe. Data Development Analysis (DEA) is a method used to evaluate the efficiency of production units and to benchmark them. …”
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Mapping predicted ecological states at landscape scales using remote‐sensing data and machine learning by N. J. Kleist, C. T. Domschke, A. C. Knight, T. W. Nauman, M. C. Duniway, S. K. Carter

“…However, alignment of these frameworks with smaller scale soil survey maps limits their applicability to broader ecological processes. Here, we extend these frameworks to larger landscapes with a machine learning approach that integrates large‐scale, high‐resolution vegetation data with identified ecological states from a data‐driven state‐and‐transition model developed for a landscape‐scale Ecological Site Group. …”
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Assessment of agricultural drought severity using multi-temporal remote sensing data in Lorestan region by M. Ghobadi, Z. Badehian

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Research on Dynamic Outpatient Respiratory Nosocomial Infection Control Methods Through Multi-Data Prediction by Wang Y, Ma W, Yang Y, Zhao H, Zhao Z, Zhao X

“…Yuncong Wang, Wenhui Ma, Yang Yang, Huijie Zhao, Zhongjing Zhao, Xia Zhao Hospital Infection Management Division, Xuanwu Hospital Capital Medical University, Beijing, People’s Republic of ChinaCorrespondence: Yuncong Wang, Hospital Infection Management Division, Xuanwu Hospital Capital Medical University, No. 45 ChangChun Street, Xicheng District, Beijing, 100053, People’s Republic of China, Tel +86 10 83198692, Email 18618247182@163.comObjective: This study aimed to develop a dynamic prevention and control method for fluctuating respiratory nosocomial infections in outpatients.Methods: Six sets of surveillance data such as influenza-like case counts and their predicted results were used in the autoregressive integrated moving average model (ARIMA) to forecast the onset and end time points of the epidemic peak. …”
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Identifying rare variants inconsistent with identity‐by‐descent in population‐scale whole‐genome sequencing data by Kelsey E. Johnson, Christopher J. Adams, Benjamin F. Voight

“…However, there are genetic and technical processes through which rare variants in population genetic data may deviate from this simple evolutionary model, including recurrent mutations, gene conversions and genotyping error. …”
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Toward Semi-Autonomous Robotic Arm Manipulation Operator Intention Detection From Force Data by Abdullah S. Alharthi, Ozan Tokatli, Erwin Lopez, Guido Herrmann

“…The machine learning model processes robotic arm force data, analyzing spatiotemporal patterns to accurately detect the ongoing task before its completion. …”
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Advancements in Forest Monitoring: Applications and Perspectives of Airborne Laser Scanning and Complementarity with Satellite Optical Data by Costanza Borghi, Saverio Francini, Giovanni D’Amico, Ruben Valbuena, Gherardo Chirici

“…This study reviews research from 2010 to 2023 on the integration of airborne laser scanning (ALS) metrics with satellite and ground-based data for forest monitoring, highlighting the potential of the combined use of ALS and optical remote sensing data in improving the accuracy and the frequency. …”
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Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machining Data by Matthew Alberts, Sam St. John, Simon Odie, Anahita Khojandi, Bradley Jared, Tony Schmitz, Jaydeep Karandikar, Jamie B. Coble

“…This work advances the use of predictive analytics in machining processes, offering a data-driven solution to improve manufacturing efficiency through more reliable chatter detection.…”
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Navigating ethics in HIV data and biomaterial management within Black, African, and Caribbean communities in Canada by Rusty Souleymanov, Bolaji Akinyele-Akanbi, Chinyere Njeze, Patricia Ukoli, Paula Migliardi, Linda Larcombe, Gayle Restall, Laurie Ringaert, Michael Payne, John Kim, Wangari Tharao, Ayn Wilcox

“…The study employed iterative inductive thematic data analysis. Findings Participants expressed significant concerns about the collection, sharing, and use of HIV data from healthcare encounters, revealing mistrust towards institutions like police, child welfare, and immigration accessing their health information. …”
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A Combined Approach of Heat Map Confusion and Local Differential Privacy for the Anonymization of Mobility Data by Christian Dürr, Gabriele S. Gühring

“…This two-tiered anonymization process balances the trade-off between privacy and data utility, providing a robust defense against reidentification while preserving data accuracy for practical applications. …”
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Crustal Heterogeneity Onshore Central Spitsbergen: Insights From New Gravity and Vintage Geophysical Data by Kim Senger, Fenna Ammerlaan, Peter Betlem, Marco Brönner, Marie‐Andrée Dumais, Jomar Gellein, Tormod Henningsen, Julian Janocha, Erik P. Johannessen, Jonas Liebsch, Jakob Machleidt, Tereza Mosočiová, Snorre Olaussen, Bo Olofsson, Nil Rodes, Sofia Rylander, Grace E. Shephard, Aleksandra Smyrak‐Sikora, Juan D. Solano‐Acosta, Anna Sterley

“…The new gravity data are consistent with the regional data, imaging a gravity low in the western part of the area underlying a foreland basin and a gravity high in the northwestern part of the area likely associated with a basement high or denser basement. …”
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