A New Perspective on AI Safety Through Control Theory Methodologies by Lars Ullrich, Walter Zimmer, Ross Greer, Knut Graichen, Alois C. Knoll, Mohan M. Trivedi

“…In this context, the new perspective, also referred to as data control, aims to stimulate AI engineering to take advantage of existing safety analysis and assurance in an interdisciplinary way to drive the paradigm of data control. …”
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Metric-Based Few-Shot Transfer Learning Approach for Voice Pathology Detection by Jong-Ho Won, Deok-Hwan Kim

“…The study employs a metric-based FSL approach to enhance model generalization with limited data and validates this method using both voice and electroglottographic (EGG) signals, thereby improving the diagnostic accuracy and clinical applicability. …”
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Revolutionizing Automotive Technology: Unveiling the State of Vehicular Sensors and Biosensors by Raparthi Yaswanth, M. Rajasekhara Babu

“…The study focuses on sensor fusion, integrating data from multiple sensors for more accurate and comprehensive insights. …”
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Patent Keyword Analysis Using Bayesian Factor Analysis and Social Network Visualization in Digital Therapy Technology by Sunghae Jun

“…Our results indicate that data analysis serves as a core technology in the field of digital therapy, while technologies such as remote patient monitoring, device systems, and signal processing function as supporting technologies for data analysis. …”
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Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis by Hafiz Muhammad Raza Ur Rehman, Mahpara Saleem, Muhammad Zeeshan Jhandir, Eduardo Silva Alvarado, Helena Garay, Imran Ashraf

“…This study attempts to promote scholarly research and real-world applications on social media platforms by acting as an essential resource for improving hate speech identification across various data sources.…”
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A Core Ontology for Whole Life Costing in Construction Projects by Adam Yousfi, Érik Andrew Poirier, Daniel Forgues

“…Construction projects still face persistent barriers to adopting whole life costing (WLC), such as fragmented data, a lack of standardization, and inadequate tools. …”
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FLAME-GPU for Traffic Systems: A Scalable Agent-Based Simulation Framework by Maxim Smilovitskiy, Sedar Olmez, Paul Richmond, Robert Chisholm, Peter Heywood, Alvaro Cabrejas, Sven van den Berghe, Sachio Kobayashi

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Ultralow‐Dimensionality Reduction for Identifying Critical Transitions by Spatial‐Temporal PCA by Pei Chen, Yaofang Suo, Kazuyuki Aihara, Ye Li, Dan Wu, Rui Liu, Luonan Chen

“…Abstract Discovering dominant patterns and exploring dynamic behaviors especially critical state transitions and tipping points in high‐dimensional time‐series data are challenging tasks in study of real‐world complex systems, which demand interpretable data representations to facilitate comprehension of both spatial and temporal information within the original data space. …”
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Glyph design for communication initiation in real-time human-automation collaboration by Magnus Nylin, Jonas Lundberg, Magnus Bång, Kostiantyn Kucher

“…The results also showed that the core of the glyph design could be reused between domains, and that the operators could successfully interpret the temporal data representations. We discuss similarities and differences in the applicability of the glyph design between the different domains, and finally, we provide some suggestions for future work based on the results from this study.…”
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Exploring In-Network Computing with Information-Centric Networking: Review and Research Opportunities by Marica Amadeo, Giuseppe Ruggeri

“…Cloud computing centralizes resources in distant data centers, leading to high latency and increased network congestion, while edge computing, though closer to data sources, lacks the agility to dynamically adapt to fluctuating workloads, user mobility, and real-time requirements. …”
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Designing Advanced Cryptographic Solutions for Cloud Storage Security through Dual-Layer Encryption Protocols by Paul Kobina Arhin Jnr, James Ben Hayfron-Acquah, Frimpong Twum, Alfred Kumah

“…This shows its efficiency for secure cloud data storage and transmission.…”
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Algorithm based on 2‐bit adaptive delta modulation and fractional linear prediction for Gaussian source coding by Zoran Peric, Bojan Denic, Vladimir Despotovic

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Drivers of the Integration of Virtual Reality into Construction Safety Training in Ghana by Hutton Addy, Clinton Aigbavboa, Simon Ofori Ametepey, Rexford Henaku Aboagye, Wellington Didibhuku Thwala

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Multimodal learning–based reconstruction of high-resolution spatial wind speed fields by Matteo Zambra, Nicolas Farrugia, Dorian Cazau, Alexandre Gensse, Ronan Fablet

“…We use synthetic wind speed data to emulate satellite images, in situ time series and reanalyzed wind fields. …”
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Enhancing fraud detection in imbalanced motor insurance datasets using CP-SMOTE and Random Under-Sampling by Pornpawee Komsrimorakot, Thitirat Siriborvornratanakul

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Unveiling the Value of Meta-Analysis in Disease Prevention and Control: A Comprehensive Review by Christos Ntais, Michael A. Talias

“…This research method, which combines data from multiple studies to produce a single, more precise estimate of effect size, is invaluable for synthesizing evidence, resolving inconsistencies and guiding clinical practice and public health policies. …”
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A cryptographic framework for secure medical imaging in smart healthcare environments by Kusum Lata, Chitraksh Gupta, Linga Reddy Cenkeramaddi

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Mitigating class imbalance in churn prediction with ensemble methods and SMOTE by R. Suguna, J. Suriya Prakash, H. Aditya Pai, T. R. Mahesh, Venkatesan Vinoth Kumar, Temesgen Engida Yimer

“…However, when trained on unbalanced data, their accuracy remains subpar. The top six classifiers were selected for further investigation based on their performance on the imbalanced data. …”
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Digital Transformation in African Heritage Preservation: A Digital Twin Framework for a Sustainable Bab Al-Mansour in Meknes City, Morocco by Imane Serbouti, Jérôme Chenal, Saâd Abdesslam Tazi, Ahmad Baik, Mustapha Hakdaoui

“…By utilizing advanced methods for data collection, processing, and analysis, the framework creates a robust data hub for Digital Twin Heritage Buildings (DT_HB). …”
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Energy optimization and age of information enhancement in multi‐UAV networks using deep reinforcement learning by Jeena Kim, Seunghyun Park, Hyunhee Park

“…By integrating AoI considerations with energy‐efficient UAV control, this work offers a robust solution for maintaining fresh data in critical applications, such as disaster response, where ground‐based communication infrastructures are compromised. …”
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