Enhancing RAG Performance by Representing Hierarchical Nodes in Headers for Tabular Data by Minchae Song

“…Recent developments in retrieval-augmented generation (RAG) techniques have aimed at integrating structured tabular data with external data sources. …”
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Sensing Techniques for Structural Health Monitoring: A State-of-the-Art Review on Performance Criteria and New-Generation Technologies by Ali Mardanshahi, Abhilash Sreekumar, Xin Yang, Swarup Kumar Barman, Dimitrios Chronopoulos

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STsisal: a reference-free deconvolution pipeline for spatial transcriptomics data by Yinghao Fu, Yinghao Fu, Yinghao Fu, Leqi Tian, Weiwei Zhang

“…To verify the efficacy of STsisal, we conducted extensive simulations and applied the method to real data, comparing its performance against existing techniques. …”
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Retracted: Research on GNSS-Assisted Low-Cost INS Combined Navigation Moving Base Initial Alignment Technique by Mengbo Sun, Jian Huang, Pengcheng Hu, Xiaohui Song, Zhu Li

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A critical review of data mining in education on the levels and aspects of education by Inusah Fuseini, Yaw Marfo Missah

“…Purpose – This systematic literature review aims to identify the pattern of data mining (DM) research by looking at the levels and aspects of education. …”
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Clinical features of endobronchial tuberculosis by Samardžić Natalija, Jovanović Dragana, Marković-Denić Ljiljana, Roksandić-Milenković Marina, Popević Spasoje, Škodrić-Trifunović Vesna

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Data Confidentiality in Artificial Intelligence-Assisted Medicine: The Main Ethical Issue by Raluca DUMACHE, Camelia MURESAN, Marina Adriana MERCIONI, Alin IONESCU, Nina IVANOVIC, Alexandra ENACHE

“…Combining several privacy-preserving techniques, known as hybrid techniques, has also showed promise in improving data security and reducing risks. …”
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Research progress in data-driven constitutive modeling of composite solid propellants by Bin Yuan, Hongfu Qiang, Chunguo Yue

“…Traditional modeling methods have certain limitations, and the rise of data-driven techniques has brought new opportunities and challenges to this field. …”
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Sealing Ability of Resilon as a Root Canal Filling Material: A Systematic Review of In Vitro Studies by Alain Manuel Chaple-Gil, Lazareth Liz Ortiz Santiago, Laura Pereda Vázquez, Meylin Santiesteban Velázquez

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Optimization of serious bacterial infections intensive therapy in children in Anesthesiology and Intensive Care Department by M. Yu. Kurochkin, A. H. Davydova, Yu. V. Horodkova

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Talent scouting and standardizing fitness data in football club: systematic review by Moch Yunus, Ronal Surya Aditya

“…The review will focus on participants, including professional football players, and intervention interventions such as the implementation of digital technologies, data mining, and machine learning techniques. The study designs will include experimental, observational, and mixed-method studies conducted in football club settings. …”
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A survey on membership inference attacks and defenses in machine learning by Jun Niu, Peng Liu, Xiaoyan Zhu, Kuo Shen, Yuecong Wang, Haotian Chi, Yulong Shen, Xiaohong Jiang, Jianfeng Ma, Yuqing Zhang

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Application of Deep Learning to the Prediction of Solar Irradiance through Missing Data by R. Girimurugan, P. Selvaraju, Prabahar Jeevanandam, M. Vadivukarassi, S. Subhashini, N. Selvam, S. K. Hasane Ahammad, S. Mayakannan, Selvakumar Kuppusamy Vaithilingam

“…The projected model is evaluated on the widely available information by simulating missing data in each input series. The performance model is assessed alternative imputation techniques under a range of missing rates and input parameters. …”
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Molecular mechanisms of arecoline-induced oral cancer: a network toxicology and molecular docking techniques integrated analysis by Linghan Leng, Xin Wang, Hao Wang, Yingchun Hu, Yaxing Deng, Chenglin Wang

“…This study employs network toxicology integrated with molecular docking techniques to systematically investigate the potential molecular pathogenesis of arecoline-induced oral cancer, aiming to provide novel insights for targeted therapeutic strategies. …”
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GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis by Tianyu Zhao, Yue Zhou, Ruijun Shi, Zhoujian Cao, Zhixiang Ren

“…GWAI aims to accelerate scientific discoveries, bridging the gap between advanced AI techniques and astrophysical research.…”
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Early efficacy of radiofrequency ablation for multifocal T1N0M0 papillary thyroid carcinoma: a multicenter study by Xinying Zhu, Gongli Zhou, Ying Zhou, Chen Chen, Lin Sui, Di Ou, Yuqi Yan, Lingyan Zhou, Zhiyan Jin, Jiaheng Huang, Yin Zheng, Chen Ni, Min Lai, Lujiao Lv, Jiafei Shen, Fang Cheng, Xiangkai Kong, Xuefeng Zhang, Ke Xu, Ruiqing Su, Ying Liu, Gang Dong, Shurong Wang, Minghua Ge, Dong Xu

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Explainability and Interpretability in Concept and Data Drift: A Systematic Literature Review by Daniele Pelosi, Diletta Cacciagrano, Marco Piangerelli

“…Against this backdrop, our systematic review aims to consolidate current research on explainability and interpretability with a focus on concept and data drift. …”
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Comparison of the Spread of Novel Coronavirus: Topological Data Analysis of 13 Countries by Shaun V. Ault, Jia Lu

“…Our results suggest TDA can be a useful initial data tool to search for anomalies, which can then lead to a more comprehensive analysis combined with other techniques. …”
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Applications of aeromagnetic data to detect the Basement Tectonics of Eastern Yemen region by Ahmed S. Abu El-Ata, Ahmed A. EI-Khafeef, Ashraf E. Ghoneimi, Sami H. Abd Alnabi, Marwan A. Al-Badani

“…At the interpretation stage, various techniques and software tools are available for extracting the geologic information from the data concerned. …”
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Assessing Drought Severity in Greece Using Geospatial Data and Environmental Indices by Constantina Vasilakou, Dimitrios E. Tsesmelis, Kleomenis Kalogeropoulos, Pantelis E. Barouchas, Ilias Machairas, Elissavet G. Feloni, Andreas Tsatsaris, Christos A. Karavitis

“…In addition, the SPI is calculated from precipitation data from a total of 152 meteorological stations. …”
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