Solar Irradiance Ramp Classification Using the IBEDI (Irradiance-Based Extreme Day Identification) Method by Llinet Benavides Cesar, Oscar Perpiñán-Lamigueiro

“…The class boundaries for each dataset results in different limits of Z score value, as a consequence of the different climatic characteristics of each location and the time resolution of the datasets. …”
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A Novel Prognostic Signature Revealed the Interaction of Immune Cells in Tumor Microenvironment Based on Single-Cell RNA Sequencing for Lung Adenocarcinoma by Xing Jin, Zhengyang Hu, Qihai Sui, Mengnan Zhao, Jiaqi Liang, Zhenyu Liao, Yuansheng Zheng, Hao Wang, Yu Shi

“…We clustered the scRNA-seq dataset (integrating our FDZSH datasets and other public datasets) into 23 subpopulations. …”
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Exploring the epidemiology of disseminated intravascular coagulation: protocol for the DANish Disseminated Intravascular Coagulation (DANDIC) Cohort Study by Henrik Toft Sørensen, Kasper Adelborg, Jecko Thachil, Anne-Mette Hvas, Simon Flæng, Søren Nygaard, Asger Granfeldt

“…It will be possible to merge this dataset with other unique Danish health registries with more than 10 years of virtually complete follow-up. …”
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MLHI-Net: multi-level hybrid lightweight water body segmentation network for urban shoreline detection by Jianhua Ye, Pan Li, Yunda Zhang, Ze Guo, Shoujin Zeng, Youji Zhan

“…Experimental results show that MLHI-Net outperforms other advanced segmentation networks in Mean Intersection over Union (MIoU) and Pixel Accuracy (PA) on the CityWater and USVInland datasets, with MIoU of 97.86% and PA of 98.92% on the CityWater dataset, and MIoU of 98.12% and PA of 99.10% on the USVInland dataset. …”
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Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques by Muhammad Mostafa Monowar, S. M. Nuruzzaman Nobel, Maharin Afroj, Md Abdul Hamid, Md Zia Uddin, Md Mohsin Kabir, M. F. Mridha

“…The ensemble model demonstrated superior performance, achieving 96.88% accuracy on the SMOTE-implemented dataset and 95.75% accuracy on the original dataset. …”
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Retrospective database analysis on the demographics and resource utilization of patients with Parkinson’s disease in Quebec, Canada by Véronique Baribeau, Shawn Mohammed, Amnah Awan, Diana Parison, Jean Lachaine

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Applying YOLOv6 as an ensemble federated learning framework to classify breast cancer pathology images by Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, Noha Alduaiji, J. Shreyas, Piyush Kumar Shukla

“…The model is trained on the breast cancer pathological dataset BreakHis and BUSI. The proposed model achieved a validation accuracy of 98% on BreakHis dataset and 97% on BUSI dataset. …”
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Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry by Miguel Mascarenhas, Francisco Mendes, Joana Mota, Tiago Ribeiro, Pedro Cardoso, Miguel Martins, Maria João Almeida, João Rala Cordeiro, João Ferreira, Guilherme Macedo, Cecilio Santander

“…The exams were divided in a training and testing dataset with a 80/20% ratio. The testing dataset was used for models’ evaluation through its accuracy, sensitivity, specificity, positive and negative predictive values and area under the receiving-operating characteristic curve. …”
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Lysine requirement of weaned piglets by S. Goethals, P. Bikker, J.H.M. Rijpert, B. Ampe, J.W. Spek, S. Millet

“…In total, 41 experiments met the inclusion criteria, resulting in a dataset of 206 treatment means. Linear, quadratic and linear-plateau models were used to gain insight into the effect of SID lysine addition on average daily gain and feed efficiency for the combined dataset and separately for the individual experiments. …”
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CGV-Net: Tunnel Lining Crack Segmentation Method Based on Graph Convolution Guided Transformer by Kai Liu, Tao Ren, Zhangli Lan, Yang Yang, Rong Liu, Yuantong Xu

“…To overcome the limitations of existing public datasets, which often feature a narrow range of crack types and simplistic backgrounds, this study introduces TunnelCrackDB, a dataset encompassing diverse crack types and complex backgrounds.Experimental evaluations on both the public Crack dataset and the newly developed TunnelCrackDB demonstrate the efficacy of CGV-Net. …”
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Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals by Gulay Tasci, Prabal Datta Barua, Dahiru Tanko, Tugce Keles, Suat Tas, Ilknur Sercek, Suheda Kaya, Kubra Yildirim, Yunus Talu, Burak Tasci, Filiz Ozsoy, Nida Gonen, Irem Tasci, Sengul Dogan, Turker Tuncer

“…In this context, we aimed to investigate the cortical activities of psychotic criminal subjects by deploying an explainable feature engineering (XFE) model using an EEG psychotic criminal dataset. <b>Methods:</b> In this study, a new EEG psychotic criminal dataset was curated, containing EEG signals from psychotic criminal and control groups. …”
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Severity Assessment of COVID-19 Using a CT-Based Radiomics Model by Zhigao Xu, Lili Zhao, Guoqiang Yang, Ying Ren, Jinlong Wu, Yuwei Xia, Xuhong Yang, Milan Cao, Guojiang Zhang, Taisong Peng, Jiafeng Zhao, Hui Yang, Jinfeng Hu, Jiangfeng Du

“…Meanwhile, they were split randomly to training and test datasets with the fixed ratio of 7 : 3 in each category. …”
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Analisis Perbandingan Model Bert Dan Xlnet Untuk Klasifikasi Tweet Bully Pada Twitter by Teuku Radillah, Okta Veza, Sarjon Defit

“…Metodologi penelitian ini melibatkan pengumpulan dataset tweet yang telah dilabeli sebagai bullying atau non-bullying. …”
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Artificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiographyResearch in context by Jiesuck Park, Jiyeon Kim, Jaeik Jeon, Yeonyee E. Yoon, Yeonggul Jang, Hyunseok Jeong, Youngtaek Hong, Seung-Ah Lee, Hong-Mi Choi, In-Chang Hwang, Goo-Yeong Cho, Hyuk-Jae Chang

“…We performed internal (internal test dataset [ITDS], n = 841) and external validation (distinct hospital dataset [DHDS], n = 1696; temporally distinct dataset [TDDS], n = 772) for diagnostic value across various stages of AS and prognostic value for composite endpoints (cardiovascular death, heart failure, and aortic valve replacement). …”
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Sentiment Analysis of Product Reviews Using Fine-Tuned LLaMa-3 Model: Evaluation with Comprehensive Benchmark Metrics by Wang Yili

“…This study explores fine-tuning the LLaMA-8B large language model based on the Amazon Product Reviews dataset from Kaggle, aiming to improve sentiment classification accuracy. …”
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Analysis of Driver Behavior and Intervehicular Collision: A Data-Based Traffic Modeling and Simulation Approach by Lu Zhao, Nadir Farhi, Zoi Christoforou, Nadia Haddadou

“…Using a dataset provided by the Next Generation Simulation (NGSIM) project, NGSIM 101 dataset, we identify three different driver profiles: aggressive, inattentive, and normal drivers. …”
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Gaussian barebone mechanism and wormhole strategy enhanced moth flame optimization for global optimization and medical diagnostics. by Jingjing Ma, Zhifang Zhao, Lin Zhang

“…Subsequently, BWEMFO-KELM undergoes diagnostic and predictive experimentation on three distinct medical datasets: the breast cancer dataset, colorectal cancer datasets, and mammographic dataset. …”
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Adaptive Transfer Learning Strategy for Predicting Battery Aging in Electric Vehicles by Daniela Galatro, Manav Shroff, Cristina H. Amon

“…The proposed approach includes a similarity-based and adaptive strategy in which selected data from an original dataset are transferred to a clean dataset based on the combined/weighted similarity contribution of feature and stress factor similarities and times series similarities. …”
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Fractional Analysis of MHD Boundary Layer Flow over a Stretching Sheet in Porous Medium: A New Stochastic Method by Imran Khan, Hakeem Ullah, Hussain AlSalman, Mehreen Fiza, Saeed Islam, Muhammad Shoaib, Muhammad Asif Zahoor Raja, Abdu Gumaei, Farkhanda Ikhlaq

“…It is proposed for solving the magnetohydrodynamics (MHD) fractional flow of boundary layer over a porous stretching sheet (MHDFF BLPSS) problem. A dataset obtained by the fractional optimal homotopy asymptotic (FOHA) method is created as a simulated data simple for training (TR), validation (VD), and testing (TS) the proposed approach. …”
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Investigation of the effects of fans' club image perceptions and fan group membership status on sports consumption behaviors by Sercan Kural, Ismail Karatas

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