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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Enhancing Highway Scene Understanding: A Novel Data Augmentation Approach for Vehicle-Mounted LiDAR Point Cloud Segmentation by Dalong Zhou, Yuanyang Yi, Yu Wang, Zhenfeng Shao, Yanjun Hao, Yuyan Yan, Xiaojin Zhao, Junkai Guo

“…However, challenges remain in segmenting vegetation-occluded pole-like assets due to partial data loss. This work highlights the efficacy of tailored augmentation and semi-supervised strategies in refining 3D segmentation, advancing applications in intelligent transportation and digital infrastructure.…”
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Enhancing piezoelectric control of cracks in thin solid aluminum plates using finite element data and a neural networks approach by Abdul Aabid, Muneer Baig, Mohammad Abdul Malik

“…Later, these data have been arranged to train the algorithms. …”
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BA-AMST: A blockchain-assisted anonymous and multi-keyword searchable-traceable data sharing system in Industrial Internet of Things by Leyou Zhang, Runze Tian, Qing Wu, Fatemeh Rezaeibagha

“…However, the risk of privacy breaches, the presence of malicious actors, and untrusted cloud servers pose significant threats to both individuals and primary data custodians. Ensuring equitable and precise data searches, while safeguarding sensitive industrial data, is therefore of paramount importance in industrial data-sharing systems. …”
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Physics-informed and data-driven thermal modeling and temperature field prediction for thermal field-assisted direct ink writing with PDMS by Xinhua Yao, Yuhan Jiang, Lixin Tian, Xiang Li, Yong He

“…Based on this framework, a surrogate model integrating physics-based and data-driven approaches was constructed and trained using multi-condition simulation datasets. …”
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Multi-UAV Trajectory Optimization Under Dynamic Threats: An Enhanced GWO Algorithm Integrating a Priori and Real-Time Data by Zihan Zhou, Yanhong Guo, Yitao Wang, Jingfan Lyu, Haoran Gong, Xin Ye, Yachao Li

“…Our approach provides novel insights and methodologies for the advancement of multi-UAV collaborative trajectory planning, while extending the applicability of the GWO algorithm in complex environments…”
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Elevation Data Statistical Analysis and Maximum Likelihood Estimation-Based Vehicle Type Classification for 4D Millimeter-Wave Radar by Mengyuan Jing, Haiqing Liu, Fuyang Guo, Xiaolong Gong

“…The elevation data collected by 4D radar from a real road scenario are applied for further analysis. …”
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Polynomial modelling of high-quality yet incomplete rare earth element data sets and a holistic assessment of REE anomalies by David M. Ernst, Joachim Vogt, Michael Bau, Malte Mues

“…We use a polynomial modelling approach to impute missing REE data, verify the method’s applicability with a large data set (>13,000 samples; PetDB), and complement three originally incomplete REE data sets. …”
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Enhancing Long-Term Flood Forecasting with SageFormer: A Cascaded Dimensionality Reduction Approach Based on Satellite-Derived Data by Fatemeh Ghobadi, Amir Saman Tayerani Charmchi, Doosun Kang

“…Performance evaluations against LSTM, Transformer, and Informer across three data fusion scenarios reveal substantial improvements in forecasting accuracy, especially in data-scarce basins. …”
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