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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Diagnosis of Custard Apple Disease Based on Adaptive Information Entropy Data Augmentation and Multiscale Region Aggregation Interactive Visual Transformers by Kunpeng Cui, Jianbo Huang, Guowei Dai, Jingchao Fan, Christine Dewi

“…This study introduces the EDA–ViT model, a Vision Transformer (ViT)-based approach that integrates adaptive entropy-based data augmentation for diagnosing custard apple <i>(Annona squamosa</i>) diseases. …”
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ClinClip: a Multimodal Language Pre-training model integrating EEG data for enhanced English medical listening assessment by Guangyu Sun

“…Traditional speech recognition systems, while successful in general applications often struggle in medical contexts where the cognitive state of the listener plays a significant role. …”
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Collaborative Inversion of Soil Water Content in Alpine Meadow Area Based on Multitemporal Polarimetric SAR and Optical Remote Sensing Data by Meng Kong, Xiaoqing Zuo, Yongfa Li

“…This study combined the multitemporal remote sensing data of Sentinel-1 and Landsat 8 to conduct an inversion study on surface soil water content under low vegetation cover in Nagqu, central Tibetan Plateau. …”
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Advancing Neuropsychological Rehabilitation in Primary Progressive Aphasia Based on Principles of Cognitive Neuroscience: A Scoping Review and Systematic Analysis of the Data by Evgenia Gkintoni, Emilia Michou

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RAG-Driven Memory Architectures in Conversational LLMs&#x2014;A Literature Review With Insights Into Emerging Agriculture Data Sharing by Nur Arifin Akbar, Rahool Dembani, Biagio Lenzitti, Domenico Tegolo

“…We analyze how vector databases and Retrieval-Augmented Generation (RAG) address fundamental challenges in storing and retrieving conversational context, maintaining system responsiveness, managing user-specific data ethically, and integrating domain-specific information. …”
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Soil water content estimation by using ground penetrating radar data full waveform inversion with grey wolf optimizer algorithm by M. H. Zhang, X. Feng, M. Bano, C. Liu, Q. Liu, X. Wang

“…First, numerical modeling was carried out, and the proposed scheme was applied to both noise‐free and noisy data to verify its applicability. Then, the proposed method was applied to data collected from a field experimental site. …”
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Prediction of instability of formwork concrete pier based on big data machine learning for secondary mining without coal pillar mining by Yanhui Zhu, Ye Tian, Peilin Gong, Kang Yi, Tong Zhao

“…Through field research, numerical simulation, theoretical analysis, big data machine learning, and field testing, the stress migration patterns and destabilization mechanisms of flexible formwork concrete pier columns under secondary mining conditions were investigated. …”
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Investigating the vertical and lateral heterogeneity in an Iranian carbonate reservoir using advanced petrophysical logs, petrographic data and image processing techniques by Saeed Yarmohammadi, Abdolrahim Javaherian, Mohammad Sharifi, Mohammad Reza Saberi, Hadi Mahdavi Basir

“…The models developed through this workflow enhance decision-making in reservoir characterization and offer practical applications for field studies. Despite limitations like imaging resolution and data availability, this approach remains integral to advancing the understanding of heterogeneity and guiding further improvements. …”
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An opportunity missed: Strengthening health system data on multisystem inflammatory syndrome in children from low- and middle-income countries in Asia by D.S. Ong, P.V. Licciardi, K. Mulholland, L.A.H. Do

“…This highlights the need for LMICs to have strong surveillance systems to collect high-quality and timely data on newly emerging complications associated with a pandemic, such as MIS-C. …”
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Multimodal data-based human motion intention prediction using adaptive hybrid deep learning network for movement challenged person by Mustufa Haider Abidi

“…Initially, multimodal data like electroencephalogram (EEG)/Electromyography (EMG) signals and sensor measures data are collected from the available data resource. …”
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Evaluasi Data Hujan Berbasis Satelit untuk Menentukan Debit Aliran Masuk Waduk Selorejo Menggunakan Model HBV-96 by Ivana Nathalia Hidayat

“…This study aims to evaluate the reliability of satellite-based rainfall data for hydrological applications, specifically for simulating reservoir inflow using the HBV-96 model in the Selorejo Reservoir. …”
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A Data Centric HitL Framework for Conducting aSsystematic Error Analysis of NLP Datasets using Explainable AI by Ahmed El-Sayed, Aly Nasr, Youssef Mohamed, Ahmed Alaaeldin, Mohab Ali, Omar Salah, Abdullatif Khalid, Shaimaa Lazem

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