Data-Driven Learning Models for Internet of Things Security: Emerging Trends, Applications, Challenges and Future Directions by Oyeniyi Akeem Alimi

“…Thus, effective methodologies for the prompt identification, detection, and mitigation of these menaces are priorities for stakeholders. Recently, data-driven artificial intelligence (AI) models have been considered effective in numerous applications. …”
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Pulse2AI: An Adaptive Framework to Standardize and Process Pulsatile Wearable Sensor Data for Clinical Applications by Sicong Huang, Roozbeh Jafari, Bobak J. Mortazavi

“…<italic>Goal:</italic> To establish Pulse2AI as a reproducible data preprocessing framework for pulsatile signals that generate high-quality machine-learning-ready datasets from raw wearable recordings. …”
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A discrete extension of the Lindley distribution for health and sustainability data: Theoretical insights and decision-making applications by Mahmoud El-Morshedy, Mohamed S. Eliwa, Abhishek Tyagi, Hend S. Shahen

“…Integrating SDG 3 (Good Health and Well-Being) with an innovative discrete probability model for lifetime data provides a comprehensive approach to achieving sustainable health outcomes and analyzing lifetime data within sustainability frameworks. …”
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Visual and Statistical Methods for Analysing Irregularity Data in Rolling Stocks – An Application on Turkey’s Freight Wagons Fleet by Ömür AKBAYIR, Serdar BENLİGİRAY, Ahmet ONAY

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Construction and application of multi-party trust mechanism for cross border data flow based on smart contracts by JIANG Rong, HOU Shiping, LUO Shengmei

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Enhanced Estimation of the Unit Lindley Distribution Parameter via Ranked Set Sampling with Real-Data Application by Sid Ahmed Benchiha, Amer Ibrahim Al-Omari, Ghadah Alomani

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Development and Application of SSR Markers for <i>Aquilaria sinensis</i> on the Basis of Whole-Genome Resequencing Data by Yu Chen, Kunlin Wu, Jieru Xu, Shenghe Zhao, Zhihua Tu, Dandan Rao, Beibei Chen, Nanbo Jiao, Jinhui Chen, Xiaona Dong

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Big Data Processing Architecture for Radio Signals Empowered by Deep Learning: Concept, Experiment, Applications and Challenges by Shilian Zheng, Shichuan Chen, Lifeng Yang, Jiawei Zhu, Zhenxing Luo, Junjie Hu, Xiaoniu Yang

“…As the information carriers of wireless transmission data, radio signals exhibit the characteristics of big data in terms of volume, variety, value, and velocity. …”
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Clinicians’ perspectives on integrating smartphone application data into routine alcohol dependency treatment: factors influencing implementation by Josefine Östh, Andreas Lundin, Peter Wennberg, Sven Andréasson, Anna-Karin Danielsson

“…Potential risks and concerns with the interventions were raised, including technical instability and data security. Discussion and conclusions The results of this study indicate that a breathalyser-coupled and a drink-counting smartphone application have potential to be supportive complements to alcohol dependency treatment. …”
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Exploration of the Application Rules and Clinical Significance of Acupoints in Acupuncture Treatment of Migraine Based on Data Mining [Letter] by Shen Z, Zhou C, Lin X

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A Multinomial Asymptotic Representation of Zenga's Discrete Index, its Influence Function and Data-driven Applications by Tchilabalo Abozou Kpanzou, Diam Ba, Gandasor Bonyiri Onesiphore Da, Gane Samb Lo

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Data-Driven R&D&I Management for Societal Impacts: Introduction and Application of AgroRadarEval by Daniela Maciel, Adriana Bin, Marie Ferré, James A Turner, Geraldo Stachetti Rodrigues, María Magdalena Costa, Miguel Sierra Pereiro, Juan Mechelk, Aurelle de Romemont, Kevin Heaune

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The integrated application of big data and geospatial analysis in maritime transportation safety management: A comprehensive review by Xiao Zhou, Zhou Huang, Tian Xia, Xinmin Zhang, Zhixin Duan, Jie Wu, Guoqing Zhou

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Parameter Estimation of the Lomax Lifetime Distribution Based on Middle-Censored Data: Methodology, Applications, and Comparative Analysis by Peiyao Ren, Wenhao Gui, Shan Liang

“…Finally, both simulation data and real data are used to compare the accuracy of the various estimation methods.…”
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Application of Graph-Theoretic Methods Using ERP Components and Wavelet Coherence on Emotional and Cognitive EEG Data by Sencer Melih Deniz, Ahmet Ademoglu, Adil Deniz Duru, Tamer Demiralp

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Understanding the constraints to the correct application of tilt derivative operation to a vertical prism in gravity data processing by Oluwatimilehin B. Balogun, Obafemi E. Bilesanmi, Mohamed Metwaly, Oluwatosin F. Akerele, Odunayo T. Ojo, Oluwaseyi A. Dasho

“…Analytical simulation of a buried 3D vertical square prism with known density contrast, depth to the top of the buried body, thickness and cross-section area has been done, and tilt angle derivative enhancement operation has been applied to the data in order to establish the constraints that could impede the correct application of tilt derivative operation on gravity data. …”
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A Method of Inverting Rock Grain Size Based on Nuclear Magnetic Resonance Logging Data and Application by Jinbo Wu, Yitao Hu, Hairong Zhang

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Utilization of the experimental data to test ionic water/graphene nanofluids for solar applications by means of CVFEM simulation by Abeer S. Alnahdi, Muhammad Sulaiman, Malik Zaka Ullah, Taza Gul

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Enhancing Efficiency and Reducing the Carbon Footprint of Cloud-Based Healthcare Applications through Optimal Data Preprocessing by El Aziz Btissam, Eddabbah Mohammed, Laaziz Yassin

“…This paper investigates the impact of data preprocessing on the performance, efficiency, and environmental footprint of AI models in cloud-based applications, focusing on a case study involving healthcare applications such as chronic disease detection. …”
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An urban land surface temperature and emissivity separation algorithm from ASTER TIR data and its application by Jinglun Li, Kun Li, Yonggang Qian, Xianhui Dou, Qijin Han, Jian Zeng, Hang Zhao, Qiongqiong Lan, Zhaopeng Xu, Jiayi Bai, Baoan Wei, Xining Liu, Feng Wang, Juntao Yang, Yueming Wang

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