Inferring flow energy, space scales, and timescales: freely drifting vs. fixed-point observations by A. L. S. Ponte, L. C. Astfalck, L. C. Astfalck, M. D. Rayson, A. P. Zulberti, N. L. Jones

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Technologies, Protocols, and applications of Internet of Things in greenhouse Farming: A survey of recent advances by Khalid M. Hosny, Walaa M. El-Hady, Farid M. Samy

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A Few-Shot Learning-Based Point Cloud Semantic Segmentation Network for Tunnel Lining Inspection by Ziyi Li, Nan Jiang, Lihong Tong

“…Next-generation 6G networks will significantly advance the development of integrated sensing, communication, and computing (ISSC) systems, particularly in collection and processing of point cloud data. …”
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Guided wave signal‐based sensing and classification for small geological structure by Hongyu Sun, Jiao Song, Shanshan Zhou, Qiang Liu, Xiang Lu, Mingming Qi

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Detecting cognitive engagement in online course forums: A review of frameworks and methodologies by Nazmus Sakeef, M. Ali Akber Dewan, Fuhua Lin, Dharamjit Parmar

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Advanced Frequency Analysis of Signals with High-Frequency Resolution by Patrik Flegner, Ján Kačur, Milan Durdán, Marek Laciak, Rebecca Frančáková

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Novel application of deep learning to evaluate conversations from a mental health text support service by Daniel Cahn, Sarah Yeoh, Lakshya Soni, Ariele Noble, Mark A. Ungless, Emma Lawrance, Ovidiu Şerban

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Creating Digital Twins to Celebrate Commemorative Events in the Metaverse by Vicente Jover, Silvia Sempere

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Transforming Manufacturing Quality Management with Cognitive Twins: A Data-Driven, Predictive Approach to Real-Time Optimization of Quality by Asif Ullah, Muhammad Younas, Mohd Shahneel Saharudin

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Networks Based on Graphs of Transient Intensities and Product Theorems in Their Modelling by Gurami Tsitsiashvili

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Latent Outlier Exposure in Real-Time Anomaly Detection at the Large Hadron Collider by Thomas Dartnall Stern, Amit Kumar Mishra, James Michael Keaveney

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Exploring the Potential of the Bicameral Mind Theory in Reinforcement Learning Algorithms by Munavvarkhon Mukhitdinova, Mariana Petrova

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Blockchain-Based Decentralized Identity Management System with AI and Merkle Trees by Hoang Viet Anh Le, Quoc Duy Nam Nguyen, Nakano Tadashi, Thi Hong Tran

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Enhancing User Experiences in Digital Marketing Through Machine Learning: Cases, Trends, and Challenges by Alexios Kaponis, Manolis Maragoudakis, Konstantinos Chrysanthos Sofianos

“…This systematic examination of machine learning in the Digital Marketing (DM) industry is also closely examined, focusing on its effect on human–computer interaction (HCI). This research methodically elucidates how machine learning can be applied to the automation of strategies for user engagement that increase user experience (UX) and customer retention, and how to optimize recommendations from consumer behavior. …”
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Generative AI in Higher Education Constituent Relationship Management (CRM): Opportunities, Challenges, and Implementation Strategies by Carrie Marcinkevage, Akhil Kumar

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Unified Ecosystem for Data Sharing and AI-Driven Predictive Maintenance in Aviation by Igor Kabashkin, Vitaly Susanin

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A Data Quality Pipeline for Industrial Environments: Architecture and Implementation by Teresa Peixoto, Óscar Oliveira, Eliana Costa e Silva, Bruno Oliveira, Fillipe Ribeiro

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Digital Genome and Self-Regulating Distributed Software Applications with Associative Memory and Event-Driven History by Rao Mikkilineni, W. Patrick Kelly, Gideon Crawley

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Navigating Digital Transformation in the UAE: Benefits, Challenges, and Future Directions in the Public Sector by Abdelrahim I. Alzarooni, Saadat M. Alhashmi, Mohammed Lataifeh, John Rice

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Analyzing Digital Political Campaigning Through Machine Learning: An Exploratory Study for the Italian Campaign for European Union Parliament Election in 2024 by Paolo Sernani, Angela Cossiri, Giovanni Di Cosimo, Emanuele Frontoni

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