Spectrum environment map dataset based on ray-tracer under 3D dynamic built-up scenariosMendeley Data by Xuan Wang, Xiaomin Chen, Yiran Chen, Guochen Gu, Qianhao Gao, Jie Wang, Zhipeng Lin, Qiuming Zhu

“…The dataset includes a 600-s dynamic spectrum environment map, and the data is stored as a 250 × 250 × 600 tensor in a .mat file. …”
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An Enhanced Gas Sensor Data Classification Method Using Principal Component Analysis and Synthetic Minority Over-Sampling Technique Algorithms by Xianzhang Zeng, Muhammad Shahzeb, Xin Cheng, Qiang Shen, Hongyang Xiao, Cao Xia, Yuanlin Xia, Yubo Huang, Jingfei Xu, Zhuqing Wang

“…This approach shows promise for expanding gas sensor applicability in fields where data limitations previously restricted reliability and effectiveness.…”
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Surface roughness and profile dataset of Ti6Al4V textured by laser ablation and spark erosionMendeley Data by Victor Caso Moreira, Artur Fernando de Vito, Junior, Fabrizio Leonardi, Sergio Delijaicov, Rodrigo Magnabosco

“…The Ti6Al4V alloy is widely recognized for its extensive industrial applications, particularly in the aeronautics sector, due to its exceptional strength to-weight ratio and corrosion resistance. …”
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A novel two-dimensional reversible data hiding method with high embedding capacity in H.264/advanced video coding by Yi Chen, Hongxia Wang, Xiaoxu Tang, Yong Liu, Hanzhou Wu, Yanli Chen

“…Developing the technology of reversible data hiding based on video compression standard, such as H.264/advanced video coding, has attracted increasing attention from researchers. …”
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The sexual health assessment of practices and experiences (SHAPE) questionnaire: Adaptation Process and Results of the Data Collected during the Pre-Test in Portugal by Ana Luísa Patrão, Maria Yolanda Makuch, Vilma Zotareli, Pedro Nobre

“…The objective of this study is to describe the adaptation process and the results of the data collected during the pre-test. Pretesting was conducted with a sample of 40 individuals (60% women; mean age 53.9 years). …”
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Resilient event-triggered practically predefined-time heading control of ships with delay of steering gear and false-data-injection attacks by Han Xue, Xiangtao Wang

“…Moreover, traditional predefined-time stability theorems are not directly applicable to systems with operational delays. To address this, a practical predefined-time tracking control strategy is designed under input delays and false data injection attacks. …”
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Accelerating domain-aware electron microscopy analysis using deep learning models with synthetic data and image-wide confidence scoring by M. J. Lynch, R. Jacobs, G. A. Bruno, P. Patki, D. Morgan, K. G. Field

“…We addressed these challenges by creating a physics-based synthetic image and data generator, resulting in an ML model that achieves comparable precision (0.86), recall (0.63), F1 scores (0.71), and engineering property predictions (R 2 = 0.82) to a model trained on human-labeled data. …”
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Internet of Things and Artificial Intelligence for Secure and Sustainable Green Mobility: A Multimodal Data Fusion Approach to Enhance Efficiency and Security by Manuel J. C. S. Reis

“…This paper proposes an IoT and AI-driven framework for secure and sustainable green mobility, leveraging multimodal data fusion to enhance traffic management, energy efficiency, and emissions reduction. …”
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Comparative Performance Analysis of GRPC and Rest API Under Various Traffic Conditions and Data Sizes Using a Quantitative Approach by Moch. Zukhruf Ain, Rizka Ardiansyah, Septiano Anggun Pratama, Muhammad Akbar, Nouval Trezandy Lapatta

“…Web 3.0 presents challenges in efficient data exchange, especially in decentralized systems. …”
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Fatigue strength of welded aluminum structures – A re-evaluation of fatigue data of welded aluminum joints with nominal stress approach by Juho Havia, Antti Ahola, Timo Björk

“…This work analyzes the applicability of the nominal stress approach to welded aluminum joints, with respect to the second generation of Eurocode 9: Design of Aluminium Structures and recommendations of International Institute of Welding, utilizing experimental fatigue test data extracted from existing relevant literature. …”
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A Differential-Evolution-Based Approach to Extract Univariate Decision Trees From Black-Box Models Using Tabular Data by Rafael Rivera-Lopez, Hector G. Ceballos

“…This manuscript addresses the critical problem of understanding and interpreting decisions from these opaque models, as a lack of interpretability can hinder their adoption in sensitive applications. To tackle this issue, we propose an evolutionary approach to induce univariate decision trees that accurately mimic the behavior of black-box models using tabular data. …”
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A Novel Spatio–Temporal Deep Learning Vehicle Turns Detection Scheme Using GPS-Only Data by Mussadiq Abdul Rahim, Sultan Daud Khan, Salabat Khan, Muhammad Rashid, Rafi Ullah, Hanan Tariq, Stanislaw Czapp

“…These modern-day ADASs use various assisting tools for drivers to keep the journey safe; these sophisticated tools provide early signals of numerous events, such as road conditions, emerging traffic scenarios, and weather warnings. Many urban applications, such as car-sharing and logistics, rely on accurate and up-to-date road map data. …”
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Digital Twin Framework for Bridge Slab Deterioration: From 2D Inspection Data to Predictive 3D Maintenance Modeling by Hyunhye Song, Kiyeol Kim, Jihun Shin, Gitae Roh, Changsu Shim

“…The digital twin concept is validated using historical inspection records to demonstrate its applicability to existing bridge slabs. The integration of cumulative deterioration data significantly improves the accuracy of the performance predictions and facilitates data-driven maintenance and rehabilitation strategies.…”
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Scifer: An R/Bioconductor package for large-scale integration of Sanger sequencing and flow cytometry data of index-sorted single cells by Rodrigo Arcoverde Cerveira, Klara Lenart, Marcel Martin, Matthew James Hinchcliff, Fredrika Hellgren, Kewei Ye, Juliana Assis Geraldo, Taras Kreslavsky, Sebastian Ols, Karin Loré

“…Scifer preprocesses raw data from index sorts and immune receptor Sanger sequencing. …”
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Semantics-guided spatial data generation for complex large-scale indoor map from 3D colorized point clouds by Z. Wang, X. Wang, J. Yang, T. Li

“…With the popularization of the concept of smart cities and the development of indoor positioning and navigation services, as well as the increasing complexity of building structures with the continuous advancement of urbanization, automatic mapping of large-scale indoor spatial data has become the fundamental work for subsequent real-life 3D applications. …”
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Fault-tolerant Q-learning for discrete-time linear systems with actuator and sensor faults using input-output measured data by Mohammadrasoul Kankashvar, Sajad Rafiee, Hossein Bolandi

“…Unlike traditional methods, it learns online using input-output data from the faulty system, bypassing the need for full-state measurements. …”
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Enhanced epilepsy detection using discrete wavelet transform and bandpass filtering on EEG data: integration of ART-based and LVQ models by Seyed Matin Malakouti

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A Comprehensive Overview of Heritage BIM Frameworks: Platforms and Technologies Integrating Multi-Scale Analyses, Data Repositories, and Sensor Systems by Carmen Fattore, Michele Buldo, Arcangelo Priore, Sara Porcari, Vito Domenico Porcari, Mariella De Fino

“…In this context, this paper presents a scoping review, based on the PRISMA protocol, of 60 publications from the Scopus database that document research frameworks and applications of IDPs (integrated digital platforms), where HBIM is combined with different systems to enhance data richness, functionality, and analytical evaluation, as well as to exchange, interpret, and use information effectively. …”
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How Accurately and in What Detail Can Land Use and Land Cover Be Mapped Using Copernicus Sentinel and LUCAS 2022 Data? by Babak Ghassemi, Emma Izquierdo-Verdiguier, Raphaël d’Andrimont, Francesco Vuolo

“…In contrast, our previous studies focused on crop type classification utilizing Copernicus Sentinel-1 and -2 imagery and LUCAS data on a broader LULC scheme. The study also showed the importance of data balancing for achieving better classification outcomes and provides insights for large-scale LULC mapping applications in agriculture.…”
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A combination of Sentinel-1 RADAR and Sentinel-2 multispectral data improves classification of morphologically similar savanna woody plants by Emmanuel Fundisi, Solomon G. Tesfamichael, Fethi Ahmed

“…Parallel to continual efforts to improve the accuracies of fused RADAR–optical data, the services of such data for regional-scale applications should be explored to inform timely biodiversity assessments.…”
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