AIoT-Enabled Data Management for Smart Agriculture: A Comprehensive Review on Emerging Technologies by Xu Luo, Shuming Xiong, Xiangchen Jia, Yu Zeng, Xiao Chen

“…These layers (i.e., perception layer, transport layer, data platform layer, and application layer) correspond to agricultural information sensing, data transmission, storage processing, and intelligent decision-making, respectively. …”
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Design of Ultrasonic Flaw Detection Data Processing System Based on LabVIEW and FPGA by TAN Qunlin, ZHANG Dongfang, XIA Lang, HU Liang, ZHONG Sheng

“…In order to meet the application requirements of multichannel, high bandwidth and high throughput, and use LabVIEW to develop customized FPGA board to reduce cost and increase efficiency, this paper presents a design of ultrasonic flaw detection data processing system which use FPGA to build the system hardware architecture and use LabVIEW to build the underlying software architecture. …”
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Optimal data-driven strategy for in-house and outsourced technological innovations by open banking APIs by Vinicius Dezem, Swati Sachan, Marcelo Macedo, André Andrade Longaray

“…Abstract Open banking is a customer consent-driven data-sharing framework to maintain interoperability among financial and non-financial institutions through secure application programming interfaces. …”
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Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic by O. M. Polyakov

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HPClas: A data‐driven approach for identifying halophilic proteins based on catBoost by Shantong Hu, Xiaoyu Wang, Zhikang Wang, Menghan Jiang, Shihui Wang, Wenya Wang, Jiangning Song, Guimin Zhang

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How to Foster Project Organization Resilience in the Construction Industry: The Role of Data Governance Capabilities by Yuanyuan Hua, Manlin Kang, Hongjiang Yao, Yafan Fu

“…This study initially identifies five dimensions of data governance capabilities within construction enterprises, spanning the three stages of planning, flow, and application: top-level design, data standard management, data collection, data storage, and data application. …”
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Loop Invariants Elimination for Definite Iterations over Unchangeable Data Structures in C Programs by I. V. Maryasov, V. A. Nepomniaschy

“…An example which illustrates the application of this technique is considered.he article is published in the authors’ wording.…”
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A Python Framework for Crop Yield Estimation Using Sentinel-2 Satellite Data by Konstantinos Ntouros, Konstantinos Papatheodorou, Georgios Gkologkinas, Vasileios Drimzakas-Papadopoulos

“…The objectives include (i) analyzing vegetation indices across phenological stages to refine crop growth monitoring and (ii) developing a cost-effective user-friendly web application for automated Sentinel-2 data processing. …”
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Research on the spatial characterization of herder grazing intensity supported by mobile phone signaling data by Zhanming Qiao, Zhanming Qiao, Zhanming Qiao, Min Zheng, Min Zheng, Min Zheng, Zheng Li, Zheng Li, Quanmin Dong, Chunping Zhang, Yang Yu, Quan Cao

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The Choice of Training Data and the Generalizability of Machine Learning Models for Network Intrusion Detection Systems by Marcin Iwanowski, Dominik Olszewski, Waldemar Graniszewski, Jacek Krupski, Franciszek Pelc

“…Moreover, benign traffic classes’ generalizability differs from harmful traffic. Given its application in the actual network environment, it implies that one needs to select the data used to train the ML model carefully to determine to what extent the classes present in the dataset used for training are similar to those in the real target traffic environment. …”
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Innovative Bibliometric Methodology: A New Big Data-Based Framework for Scientific Research by Eduardo Marlés-Sáenz, Eduardo Gómez-Luna, Josep M. Guerrero, Juan C. Vasquez

“…This challenge is exacerbated by the vast amount of information that must be analyzed, highlighting the imminent need for the application of big data techniques to extract relevant information for researchers, stakeholders in innovation and development, and regulatory policymakers. …”
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The Development and Construction of City Information Modeling (CIM): A Survey from Data Perspective by Wenya Yu, Xiaowei Zhou, Dongsheng Wang, Junyu Dong

“…While the existing research has primarily focused on technical architectures, governance models, and application scenarios, a systematic exploration of CIM’s data-driven characteristics remains limited. …”
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Development of data driven models to accurately estimate density of fatty acid ethyl esters by Walid Abdelfattah, Munthar Kadhim Abosaoda, Hardik Doshi, H. S. Shreenidhi, Manoranjan Parhi, Devendra Singh, Prabhjot Singh, Abdolali Yarahmadi Kandahari

“…Results indicate that the dataset is highly well-suited for developing reliable models based on data. Analysis reveals that temperature exerts a considerable influence on density, with pressure also playing a critical role. …”
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US Astronomical Photographic Data Archives: Hidden Treasures and Importance for High-Energy Astrophysics by René Hudec, Lukáš Hudec

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ALGORITHM FOR complex SMOKE AND FLAME detection based on video surveillance systems data analysis by R. P. Bohush, D. A. Tychko

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Visualization of multidimensional data taking into account the learning flow of the self organizing neural network by Gintautas Dzemyda, Olga Kurasova

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Variable selection for ordered categorical data in regression analysis: Information criteria vs. lasso by Mototsugu Fukushige

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Machine learning enables legal risk assessment in internet healthcare using HIPAA data by Shixian Liu, Hailing Liu, Siyu Fan, Leming Song, Zeyu Wang

“…The research methods include data collection and processing, construction and optimization of ML models, and the application of a risk assessment framework. …”
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Design and Implementation of Sports Industry Information Service Management System Based on Data Mining by Hang Zhang

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Big data and artificial intelligence applied to blood and CSF fluid biomarkers in multiple sclerosis by Georgina Arrambide, Manuel Comabella, Carmen Tur

“…In multiple sclerosis (MS), a chronic inflammatory-demyelinating condition of the central nervous system with a complex pathogenesis and potentially devastating consequences, AI-based models have shown promising preliminary results, especially when using neuroimaging data as model input or predictor variables. The application of AI-based methodologies to serum/blood and CSF biomarkers has been less explored, according to the literature, despite its great potential. …”
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