A Nonparametric Operational Risk Modeling Approach Based on Cornish-Fisher Expansion by Xiaoqian Zhu, Jianping Li, Jianming Chen, Yingqi YangHuo, Lijun Gao, Jichuang Feng, Dengsheng Wu, Yongjia Xie

“…In the experiment, the proposed approach is employed to calculate the operational risk capital charge for the overall Chinese banking. The experiment dataset is the most comprehensive operational risk dataset in China as far as we know. …”
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Intensive Cold-Air Invasion Detection and Classification with Deep Learning in Complicated Meteorological Systems by Ming Yang, Hao Ma, Bomin Chen, Guangtao Dong

“…Firstly, quality control of the original dataset of strong cooling processes is carried out by means of data filtering. …”
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Leveraging Large Language Models for Enhanced Classification and Analysis: Fire Incidents Case Study by Eman H. Alkhammash

“…We evaluate this approach using two benchmark datasets: the Forest Fire dataset and the DFAN dataset. …”
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Social Network Analysis of Ancient Japanese Obsidian Artifacts Reflecting Sampling Bias Reduction by Sakahira, Fumihiro, Tsumura, Hiroomi

“…Furthermore, to enhance the readability and interpretability of the dataset, we implemented clustering using the density-based spatial clustering of applications with noise (DBSCAN) method. …”
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Dimension Estimation Using Weighted Correlation Dimension Method by Yuanhong Liu, Zhiwei Yu, Ming Zeng, Shun Wang

“…Experiments on synthetic and real datasets show the validity and the advantages of the development of technique.…”
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Bioinformatics-driven deep learning for nail disease diagnosis: A novel approach to improve healthcare outcomes by Ardianto Rian, Yusuf Dede, Sumantri Raden Bagus Bambang, Febrina Dina, Al-Hakim Rosyid R., Ariyanto Arif Setia Sandi

“…The study recommends data augmentation, model parameter optimization, and dataset expansion to improve accuracy. To confirm dependability in practical contexts, testing with clinical datasets is also advised. …”
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A New Preprocessing Method for Diabetes and Biomedical Data Classification by Sarbast CHALO, İbrahim Berkan AYDİLEK

“…This was demonstrated by achieving higher 99% accuracy, recall, and precision for parikson dataset. …”
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Subpixel stacking and detection of blurred star images observed by an astroinertial attitude sensor against the background of the daytime sky by N.N. Vasilyuk

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A Small Tamper-Resistant Anti-Recycling IC Sensor With a Reused I/O Interface and DC Signalling by Alexandros Dimopoulos, Mihai Sima, Stephen W. Neville

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Towards evaluating and building versatile large language models for medicine by Chaoyi Wu, Pengcheng Qiu, Jinxin Liu, Hongfei Gu, Na Li, Ya Zhang, Yanfeng Wang, Weidi Xie

“…To demonstrate the dataset’s utility, we conducted a proof-of-concept experiment by performing instruction tuning on a lightweight, open-source medical language model. …”
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SOCIAL CAPITAL AND AIR POLLUTION: EVIDENCE FROM TURKEY by Cuma Demirtaş, Munise Ilıkkan Özgür

“…It is expected that this work will contribute to the existing literature through its investigation of the impact of social capital index structured via taking into account the cities’ socioeconomic development levels on air pollution. The dataset used has a significant lack of observations for certain cities, so it would be valuable to formulate advanced technical modeling by creating a more complete dataset. …”
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PIPENN-EMB ensemble net and protein embeddings generalise protein interface prediction beyond homology by David P. G. Thomas, Carlos M. Garcia Fernandez, Reza Haydarlou, K. Anton Feenstra

“…PIPENN-EMB reaches state-of-the-art performance on the ZK448 dataset for protein-protein interface prediction. …”
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Quality Evaluation of Saposhnikovia divaricata (Turcz.) Schischk from Different Origins Based on HPLC Fingerprint and Chemometrics by Yuqiu Chen, Zhefeng Xu, Siying Gao, Tao Zhang, Changbao Chen

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Tea Disease Recognition Based on Image Segmentation and Data Augmentation by Ji Li, Chenyi Liao

“…The IC-GAN augments the dataset by generating high-quality synthetic disease images for model training. …”
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Time‐domain spectra of ultrasonic wave transmitted through granite and gypsum samples containing artificial defects by Zhuoran Tian, Chunjiang Zou, Yun Wu

“…Besides, time‐series data analysis is an opportunity and challenging issue, this dataset holds great potential for broader application in general time‐series classification analysis.…”
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Skin Lesion Image Segmentation Algorithm Based on MC-UNet by Guihua Yang, Bingxing Pan

“…Specifically, it achieves a Dice coefficient of 92.37% and an accuracy of 95.32% with a sensitivity of 93.41% on the ISIC2016 dataset. On the ISIC2017 dataset, it achieves a Dice coefficient of 89.43%, an accuracy of 94.81%, and a sensitivity of 90.41%. …”
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Using double attention for text tattoo localisation by Xingpeng Xu, Shitala Prasad, Kuanhong Cheng, Adams Wai Kin Kong

“…For this study, NTU Tattoo V2, the largest tattoo dataset and NTU Text Tattoo V1, the largest text tattoo dataset are established. …”
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An Appearance Invariant Gait Recognition Technique Using Dynamic Gait Features by Hajra Masood, Humera Farooq

“…Additionally, we develop a multiappearance-based gait dataset that captures the effects of South Asian Native Clothing (SACV-Gait dataset). …”
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On Assessing the Performance of LLMs for Target-Level Sentiment Analysis in Financial News Headlines by Iftikhar Muhammad, Marco Rospocher

“…The study compares the performance in the TLFSA task of various sentiment analysis techniques, including rule-based models (VADER), fine-tuned transformer-based models (DistilFinRoBERTa and Deberta-v3-base-absa-v1.1) as well as zero-shot large language models (ChatGPT and Gemini). The dataset utilized for this analysis, a novel contribution of this research, comprises 1476 manually annotated Bloomberg headlines and is made publicly available (due to copyright restrictions, only the URLs of Bloomberg headlines with the manual annotations are provided; however, these URLs can be used with a Bloomberg terminal to reconstruct the complete dataset) to encourage future research on this subject. …”
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Classification and Analysis of <em>Agaricus bisporus</em> Diseases with Pre-Trained Deep Learning Models by Umit Albayrak, Adem Golcuk, Sinan Aktas, Ugur Coruh, Sakir Tasdemir, Omer Kaan Baykan

“…The consistent illumination in the dataset enhances the robustness and practical usability of the assessed models. …”
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