Machine learning algorithm for estimating and optimizing the phytochemical content and physicochemical properties of okra slices in an infrared heating system by Hany S. El-Mesery, Ahmed H. ElMesiry, Evans K. Quaye, Zicheng Hu, Ali Salem

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Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…Firstly，preprocess the collected raw load data and calculate the actual load value considering system energy loss； Secondly，the maximum information coefficient （MIC） is used to analyze the correlation between multiple loads and between multiple loads and weather factors，and to extract strongly correlated variables of multiple loads； Once again，the strongly correlated variables of multiple loads are substituted into CEEMDAN，and the load data is decomposed into stationary subsequences； Then，the feature sequence is substituted into the LSTM-MTL shared layer and the CSO algorithm is used to optimize the prediction model，achieving collaborative prediction of multiple loads； Finally，the performance of the constructed model was validated using a multivariate load dataset from a chemical park in Jilin City，Jilin Province，China. …”
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Leveraging an Enhanced CodeBERT-Based Model for Multiclass Software Defect Prediction via Defect Classification by Rida Ghafoor Hussain, Kin-Choong Yow, Marco Gori

“…Our research involves a specialized dataset comprising nine classes, including eight common programming errors and one error-free class. …”
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Australian compilation of seismic-derived bathymetry by Ulysse Lebrec, Victorien Paumard, Juliette Denudt, Catherine Du Réau, Simon C. Lang, Julien Bailleul

“…The production of the dataset is based on the integration of seismic survey first returns with seismic vessel echosounder measurements. …”
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A 20 m spatial resolution peatland extent map of Alaska by Mark J. Lara, Roger Michaelides, Duncan Anderson, Wenqu Chen, Emma C. Hall, Caroline Ludden, Aiden I. G. Schore, Umakant Mishra, Sarah N. Scott

“…Statewide peatland mapping (overall agreement:85%) identified peatlands to cover 4.6, 10.4, and 5.3% of polar, boreal, and maritime ecoregions, respectively, and 7.3% of the total terrestrial land area. This new dataset will improve the representation of peatland carbon, nutrient, and fire dynamics across Alaska.…”
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Correlation between serum neurofilament light chain and short-term outcomes in patients with hypertensive intracerebral hemorrhage by Jun Zhou, Yulin Zhao, Lichuang Zhang, Yanrui Dong, Zehu Li, Yansong Wang, Xiangdong Wang

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Enhancing zero-shot stance detection via multi-task fine-tuning with debate data and knowledge augmentation by Qinlong Fan, Jicang Lu, Yepeng Sun, Qiankun Pi, Shouxin Shang

“…Compared to ChatGPT, our model achieves a significant improvement in the average F1 score, with an increase of 15.74% on the SemEval 2016 Task 6 A and 3.55% on the P-Stance dataset. Our model outperforms current state-of-the-art models on these two datasets, demonstrating the superiority of multi-task fine-tuning with debate data and knowledge augmentation.…”
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Synchronization-based graph spatio-temporal attention network for seizure prediction by Jie Xiang, Yanan Li, Xubin Wu, Yanqing Dong, Xin Wen, Yan Niu

“…Experimental results on public datasets demonstrate the efficacy of our approach. …”
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Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection by Yinting Wu, Pai Peng, Bo Cai, Le Li

“…Through extensive experiments on three benchmark datasets with two network architectures in both single-step (Noise-Fast Gradient Sign Method, N-FGSM) and multi-step (Projected Gradient Descent, PGD) scenarios, models trained within the BB framework consistently demonstrate superior adversarial accuracy across various adversarial settings, notably achieving an improvement of more than 13% on the SVHN dataset with an attack radius of 8/255 compared to N-FGSM. …”
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Modeling of masonry infilled RC frames with different aspect ratios using plastic hinge and equivalent strut by Ahmed M. El-Kholy, Sayed M. Sayed, Mohamed M. El-Assaly, Mohamed K. Ismail

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Maximum Dry Unit Weight and Optimum Moisture Content Prediction of Lateritic Soils Using Regression Analysis by Yufeng Qian

“…The outputs of suggested equations to estimate γdmax related to modified proctor compaction test provide proper capability in the modeling procedure. In the training dataset, the value of all criteria for MARS-OI-3 is proper, with the value of 0.9365, 0.4146, and 93.647 for R2, RMSE, and VAF, respectively. …”
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Key drivers of medical crowdfunding success: a comprehensive analysis of 84,712 projects by Siyuan Zhang, Qing Zhang, Mengning Wang, Xin Tang, Xin Lu, Wei Huang

“…This study collects a large dataset from one of China’s largest crowdfunding platforms, encompassing 84,712 unique projects, and employs comprehensive analysis on investigating the impact of a variety of factors, including project features and patient characteristics. …”
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Effects of Pimobendan on Prolonging Time to Rehospitalization or Frequency of Rehospitalization in Patients with Heart Failure: A Retrospective Cohort Study Using a Medical Adminis... by Kazuhisa Kodama, Tatsunori Murata, Naoki Dohi, Masaaki Nakano, Toshiaki Yokoi, Tomohiro Sakamoto, Koichi Nakao

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Assessing climate sensitivity of the Upper Indus Basin using fully distributed, physically-based hydrologic modeling and multi-model climate ensemble approach by Hamna Hasan, Muhammad Zia ur Rahman Hashmi, Syed Imran Ahmed, Muneer Anees

“…The bias-corrected multi-model ensemble dataset accessed from the coordinated regional climate downscaling experiment (CORDEX) for two scenarios RCP 4.5 and RCP 8.5 were used up to the end of twenty-first century for the projection of stream flow. …”
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An algorithm for cardiac disease detection based on the magnetic resonance imaging by Heng Li, Qingni Yuan, Yi Wang, Pengju Qu, Chunhui Jiang, Hu Kuang

“…Finally, comparative experiments were conducted on the Automated Cardiac Diagnosis Challenge cardiac MRI image dataset where it was found that SA-YOLOv8 achieved better results in detecting cardiac pathologies, and improvement of 7.4% in mAP0.5 value and 5.1% in mAP0.5-0.95 value compared to the baseline model.…”
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Neutrophil Extracellular Traps Contribute to the Disease Severity of Dengue Virus Infection by Cucunawangsih Cucunawangsih, Ratna Sari Wijaya, Nata Pratama Hardjo Lugito, Ivet Suriapranata

“…Methods: To evaluate the association of NETs formation with disease severity using a human public transcriptomic dataset (GSE17924) and clinical samples from dengue patients with different disease severity.  …”
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Assessing Driving Risk Level: Harnessing Deep Learning Hybrid Model With Intercity Bus Naturalistic Driving Data by Wei-Hsun Lee, Che-Yu Chang

“…By collecting naturalistic driving data from intercity buses, the model is trained on an extensive dataset featuring 27,057 journey-based instances, incorporating dynamic GPS data and static journey background information from over 300 drivers. …”
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The effect of surgical treatment of tubal pregnancy on concurrent intrauterine pregnancy after in vitro fertilization by Pei Cai, Mingxiang Zheng, Yangqin Peng, Yuyao Mao, Fei Gong, Hui Chen, Ge Lin, Yan Ouyang, Xihong Li

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A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

“…Manual method of attribute selection was used; this is because it works well when there is large number of attributes. The dataset was acquired from UCI machine learning repository website with a title ‘Crime and Communities’. …”
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Enhancing Attendance Management Through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery. by Taremwa, Benjamin

“…However, limitations such as lighting variability and dataset size indicate further refinements are needed to optimize the system for broader implementation.…”
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