Improving change detection performance with generative-adversarial augmentation of dataset by V. A. Knyaz, V. A. Knyaz, V. V. Kniaz, V. V. Kniaz, S. Yu. Zheltov

“…The proposed approach firstly provide accurate image registration based on orthophoto generation, and then uses special technique for augmentation of data, that allows to improve the performance of the network model for change detection. …”
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Integration of AI with artificial sensory systems for multidimensional intelligent augmentation by Changyu Tian, Youngwook Cho, Youngho Song, Seongcheol Park, Inho Kim, Soo-Yeon Cho

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Research on knowledge-augmented Chinese financial large language model by CHENG Dawei, JIA Renjun, LI Jiangtong, DING Zhijun, JIANG Changjun

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Research on knowledge-augmented Chinese financial large language model by CHENG Dawei, JIA Renjun, LI Jiangtong, DING Zhijun, JIANG Changjun

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Medical LLMs: Fine-Tuning vs. Retrieval-Augmented Generation by Bhagyajit Pingua, Adyakanta Sahoo, Meenakshi Kandpal, Deepak Murmu, Jyotirmayee Rautaray, Rabindra Kumar Barik, Manob Jyoti Saikia

“…However, their expertise is confined to the data that they were trained on. In order to specialize LLMs in niche domains like healthcare, various training methods can be employed. …”
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APPLICATION OF VIRTUAL AND AUGMENTED REALITY IN TRAINING OF SOCIAL WORK SPECIALISTS by Polina Stavreva-Kostadinova

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Few-Shot Named Entity Recognition Based on the Collaborative Graph Attention Network by Haoran Niu, Zhaoman Zhong

“…Few-shot Named Entity Recognition (NER) aims to extract entity information from limited annotated samples, addressing the scarcity of data in specialized domains. However, existing few-shot NER methods relying on data augmentation struggle to adequately augment semantic features, limiting their learning and representation capabilities. …”
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THE AUGMENTED REALITY FUNCTIONS TO SUPPORT THE STEAM EDUCATION AT GENERAL EDUCATION INSTITUTIONS by Наталія Сороко

“…The paper considers immersive technologies in education. Augmented reality classifications are provided depending on the data presentation methods, the type of AR devices, according to the type of information provided by the augmented reality, and the areas of use. …”
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ACTION: Augmentation and computation toolbox for brain network analysis with functional MRI by Yuqi Fang, Junhao Zhang, Linmin Wang, Qianqian Wang, Mingxia Liu

“…Many fMRI-related software/toolboxes have been developed, providing specialized algorithms for fMRI analysis. However, existing toolboxes seldom consider fMRI data augmentation, which is quite useful, especially in studies with limited or imbalanced data. …”
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Attitudes of parents of children with communication disorders toward augmentative and alternative communication by Zlatić Aleksandar, Arsenić Ivana, Veljković Zorica

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Augmented reality technology as a new source of competitive strengths in engineering products by A. S. Zuev, A. N. Zueva, D. A. Leonov

“…The article analyzes opportunities for obtaining additional competitive strengths in engineering products due to the use of augmented reality technology for interactive information provision and support in terms of assembly, operation and maintenance for the products themselves as well as machinery units and production system components employed in the processes listed. …”
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Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation by Janet Treasure, Katie Rowlands, Valentina Cardi, Suman Ambwani, David McDaid, Jodie Lord, Danielle Clark Bryan, Pamela Macdonald, Eva Bonin, Ulrike Schmidt, Jon Arcelus, Amy Harrison, Sabine Landau

“…ECHOMANTRA augmented treatment as usual was compared with treatment as usual. …”
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DS-AdaptNet: An Efficient Retinal Vessel Segmentation Framework With Adaptive Enhancement and Depthwise Separable Convolutions by Shuting Chen, Chengxi Hong, Hong Jia

“…First, we introduce a Multi-Dimensional Morphological Perturbation Augmentation Technique (MD-PAT) that generates anatomically plausible variations through topologically-constrained deformation fields, significantly enhancing training data diversity while preserving critical structural properties. …”
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Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness by Yu He Ke, Liyuan Jin, Kabilan Elangovan, Hairil Rizal Abdullah, Nan Liu, Alex Tiong Heng Sia, Chai Rick Soh, Joshua Yi Min Tung, Jasmine Chiat Ling Ong, Chang-Fu Kuo, Shao-Chun Wu, Vesela P. Kovacheva, Daniel Shu Wei Ting

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From knowledge graph construction to retrieval-augmented generation: a framework for comprehensive earthquake emergency support by Liwei Yao, Fu Ren, Kaixuan Du, Qingyun Du

“…Future work will focus on improving attribute completeness, refining entity alignment techniques to capture complex semantic nuances, and exploring multimodal data integration to further extend the KG’s utility. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…Globally, enterprises are undergoing significant transformation in line with developments based on industrial revolution by leveraging extensive computing resources, data capture technologies, information processing systems, and advanced data science models that span analytics, optimization, and algorithmic intelligence. …”
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Enhancement of the Performance of Large Language Models in Diabetes Education through Retrieval-Augmented Generation: Comparative Study by Dingqiao Wang, Jiangbo Liang, Jinguo Ye, Jingni Li, Jingpeng Li, Qikai Zhang, Qiuling Hu, Caineng Pan, Dongliang Wang, Zhong Liu, Wen Shi, Danli Shi, Fei Li, Bo Qu, Yingfeng Zheng

“…However, commercially available LLMs lack specialized medical knowledge and remain susceptible to generating inaccurate information. …”
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Answering real-world clinical questions using large language model, retrieval-augmented generation, and agentic systems by Yen Sia Low, Michael L Jackson, Rebecca J Hyde, Robert E Brown, Neil M Sanghavi, Julian D Baldwin, C William Pike, Jananee Muralidharan, Gavin Hui, Natasha Alexander, Hadeel Hassan, Rahul V Nene, Morgan Pike, Courtney J Pokrzywa, Shivam Vedak, Adam Paul Yan, Dong-han Yao, Amy R Zipursky, Christina Dinh, Philip Ballentine, Dan C Derieg, Vladimir Polony, Rehan N Chawdry, Jordan Davies, Brigham B Hyde, Nigam H Shah, Saurabh Gombar

“…Retrieval-augmented generation-based LLM (OpenEvidence) performed well when existing data were available, while only the agentic ChatRWD was able to provide actionable answers when preexisting studies were lacking. …”
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Automated data processing and feature engineering for deep learning and big data applications: A survey by Alhassan Mumuni, Fuseini Mumuni

“…In most cases data has to be manually collected, preprocessed and further extended through data augmentation before they can be effective for training. …”
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Biceps tendon augmentation in arthroscopic partial repair of irreparable massive rotator cuff tears: a systematic review and meta-analysis by Evan M. Polce, MD, Kyle N. Kunze, MD, Jake Koehler, Michael C. Fu, MD, MHS, Samuel A. Taylor, MD, Lawrence V. Gulotta, MD, David M. Dines, MD, Joshua S. Dines, MD

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