Vision-Based Fall Risk Assessment Through Attention Augmented Neural Encoding and Data Augmentation by Chunhua Pan, Rui Miao, Qing Zhang, Boting Qu, Xin Wang

“…To overcome limited data availability, six skeleton-oriented data augmentation strategies are applied, which significantly enhance the diversity and robustness of training samples. …”
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Augmented reality-based training to enhance teachers' knowledge of reproductive health for special needs students by Iding Tarsidi, Endang Rochyadi, Budi Susetyo, S. Sunardi, Hendriano Meggy, Dira Rosalia Nurkholifah, Anira Zakiyyah Febrianti, Elvina Hapsari, Naila Cynthia Fajrin

“…This study aims to measure the effect of augmented reality-based training on improving special school teachers' understanding of how to deal with puberty problems in children with special needs. …”
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CutMAA: Motion-Aware Data Augmentation for Light Field Super-Resolution by Sojin Yun, Namhyuk Ahn, In Kyu Park

“…While deep learning-based methods have demonstrated impressive performance, their application is often hindered by the lack of sufficient training data. To address this challenge, we propose CutMAA, a motion-aware data augmentation (DA) specialized for light field SR. …”
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A simple interpolation-based data augmentation method for implicit sentiment identification by Yuxia Zhao, Mahpirat Mamat, Alimjan Aysa, Kurban Ubul

“…Subsequently, the original data is combined with the generated augmented data, while ensuring that the blending weight of the original data is higher than that of the augmented data, to find a balance between moderate perturbation and avoiding the introduction of too much noise. …”
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Skeleton-Based Data Augmentation for Sign Language Recognition Using Adversarial Learning by Yuriya Nakamura, Lei Jing

“…In general, data augmentation is used as a solution to the problems but model training and data augmentation are performed independently, and it is difficult to adjust the parameters for data augmentation. …”
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Data-Augmented Deep Learning Models for Assessing Thermal Performance in Sustainable Building Materials by Ana Carolina Rosa, Carles Mateu, Assed Haddad, Dieter Boer

“…Training with synthetic data yields high predictive accuracy, highlighting the potential of data augmentation in domains with limited datasets. …”
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PDAM-FAQ: Paraphrasing-Based Data Augmentation and Mixed-Feature Semantic Matching for Low-Resource FAQs by Dongsheng Wang, Liming Wang, Kun Tang, Qile Bo

“…Firstly, we propose a paraphrasing-based data augmentation model that integrates syntactic information and edit vectors. …”
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Improved Deep Convolutional Generative Adversarial Network for Data Augmentation of Gas Polyethylene Pipeline Defect Images by Zihan Zhang, Yang Wang, Nan Lin, Shengtao Ren

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Usage of Digital Learning Material in Special Education by Ayfer Alper, Tuğra Karademir Coşkun

“…Research was continued for a total of 14 weeks: The first 6 weeks learning of digital learning material (DLM) tools, second 6 weeks learning augmented reality tool, 1 week developing materials and the last week interviewing with special education teacher candidates. …”
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3D Part Machining Time Prediction With Parameter Extraction, Deep Learning, and 3D Data Augmentation by Umut Nazmi Aktan, Mehmet Dikmen

“…To solve this problem, a special data augmentation and a series of parameter extraction and concatenation methods are introduced in this study. …”
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LiDAR Sensor Parameter Augmentation and Data-Driven Influence Analysis on Deep-Learning-Based People Detection by Lukas Haas, Florian Sanne, Johann Zedelmeier, Subir Das, Thomas Zeh, Matthias Kuba, Florian Bindges, Martin Jakobi, Alexander W. Koch

“…Light detection and ranging (LiDAR) sensor technology for people detection offers a significant advantage in data protection. However, to design these systems cost- and energy-efficiently, the relationship between the measurement data and final object detection output with deep neural networks (DNNs) has to be elaborated. …”
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VirtualPainting: Addressing Sparsity with Virtual Points and Distance-Aware Data Augmentation for 3D Object Detection by Sudip Dhakal, Deyuan Qu, Dominic Carrillo, Mohammad Dehghani Tezerjani, Qing Yang

“…Furthermore, we integrate a distance-aware data augmentation (DADA) technique to enhance the model’s capability to recognize these sparsely distributed objects by generating specialized training samples. …”
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Innovative data augmentation strategy for deep learning on biological datasets with limited gene representations focused on chloroplast genomes by Mohammad Ali Abbasi-Vineh, Shirin Rouzbahani, Kaveh Kavousi, Masoumeh Emadpour

“…This study introduces a novel data augmentation strategy designed to facilitate the application of DL models to omics datasets. …”
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Skin Disease Classification Using Deep Learning Techniques by Ramani Gaddam, Deepika D., Sanjana Rakonda, Nipun Lingadally, Ravuri Phani Pradhyumna, Ashraf Shaik

“…One key challenge is the imbalanced nature of the dataset. To mitigate this, data augmentation techniques were applied, helping to reduce class imbalance and ensure that classification accuracy across categories was not dominated by the majority class.…”
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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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Learning Analytics and Educational Data Mining in Augmented Reality, Virtual Reality, and the Metaverse: A Systematic Literature Review, Content Analysis, and Bibliometric Analysis by Georgios Lampropoulos, Georgios Evangelidis

“…This study aims to examine the combination of educational data mining and learning analytics with virtual reality, augmented reality, mixed reality, and the metaverse, its role in education, and its impact on teaching and learning. …”
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Knowledge-Enriched Recommendations: Bridging the Gap in Alloy Material Selection With Large Language Models by Tongwei Wu, Shiyu Du, Yiming Zhang, Honggang Li

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DMRS: Long-tailed remote sensing recognition via semantic-aware mixing and diversity experts by Yifan Wang, Fan Zhang, Qihao Zhao, Wei Hu, Fei Ma

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The Turing Transformation: Artificial Intelligence, Intelligence Augmentation, and Skill Premiums by Ajay Agrawal, Joshua Gans, Avi Goldfarb

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Automatic license-plate recognition by A. V. Poltavskii, T. G. Yurushkina, M. V. Yurushkin

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