Numerical Simulations of Vertical Discrete Gusts Driven by Trailing Edge Blowing by Yang Shi, Bo Lu, Peng Guo, Binbin Lv, Hongtao Guo, Li Yu

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A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction by Tuong Le, Minh Thanh Vo, Bay Vo, Mi Young Lee, Sung Wook Baik

“…Many studies have been developed for bankruptcy prediction utilizing different machine learning approaches on various datasets around the world. Due to the class imbalance problem occurring in the bankruptcy datasets, several special techniques would be used to improve the prediction performance. …”
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Rede Neural Fuzzy Autoexpansível baseada na Teoria da Ressonância Adaptativa para detecção de sites de Phishing by Gustavo Henrique Santiago da Silva, Reginaldo José da Silva, Angela Leite Moreno

“…É neste cenário que esse trabalho se insere, apresentando os resultados da detecção de sites Phishing via Rede Neural Fuzzy Autoexpansível baseado na Teoria da Ressonância Adaptativa utilizando-se do conjunto de dados “Phishing Websites Dataset” disponível na UCI Machine Learning Repository. …”
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Cyclic Training of Dual Deep Neural Networks for Discovering User and Item Latent Traits in Recommendation Systems by Dohyoung Rim, Sirojiddin Nuriev, Younggi Hong

“…When evaluated with the MovieLens 100K dataset, CDLD demonstrated superior performance, achieving a root mean square error (RMSE) that was 2.86% lower than that of matrix factorization and 2.51% lower than that of neural collaborative filtering, thus showing strong generalization capabilities. …”
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High-Gain Textile Antenna Array System for Off-Body Communication by Maria Lucia Scarpello, Luigi Vallozzi, Hendrik Rogier, Dries Vande Ginste

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A tabular data generation framework guided by downstream tasks optimization by Fengwei Jia, Hongli Zhu, Fengyuan Jia, Xinyue Ren, Siqi Chen, Hongming Tan, Wai Kin Victor Chan

“…Abstract Recently, generative models have been gradually emerging into the extended dataset field, showcasing their advantages. However, when it comes to generating tabular data, these models often fail to satisfy the constraints of numerical columns, which cannot generate high-quality datasets that accurately represent real-world data and are suitable for the intended downstream applications. …”
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Japanese Short Answer Grading for Japanese Language Learners Using the Contextual Representation of BERT by Dyah Lalita Luhurkinanti, Prima Dewi Purnamasari, Takashi Tsunakawa, Anak Agung Putri Ratna

“…The Japanese SIMPLE-O attempts to grade Japanese language learners’ short answers using a dataset from a real examination. Bidirectional encoder representations from transformer (BERT), which has shown potential for natural language processing (NLP) tasks, is implemented to grade answers without fine-tuning due to the small amount of data. …”
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Cuproptosis genes in predicting the occurrence of allergic rhinitis and pharmacological treatment. by Ting Yi

“…<h4>Methods</h4>A microarray dataset of AR patients and normal controls (GSE43523) were obtained from the Gene Expression Omnibus (GEO) database for differential gene analysis. …”
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Fingerprinting Indoor Positioning Based on Improved Sequential Deep Learning by Dongfang Mao, Haojie Lin, Xuyang Lou

“…Then, we validate our method using the publicly available <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>U</mi><mi>J</mi><mi>I</mi><mi>n</mi><mi>d</mi><mi>o</mi><mi>o</mi><mi>r</mi><mi>L</mi><mi>o</mi><mi>c</mi></mrow></semantics></math></inline-formula> dataset, demonstrating superior accuracy compared to existing methods. …”
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Does the Serum Vaspin Level Have a Role in the Diagnosis of Primary Ovarian Insufficiency? by Fatma Nur Koyun, Nafiye Yilmaz, Duygu Tugrul Ersak

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The correlation between plasma malondialdehyde levels and pain in adolescent females diagnosed with primary dysmenorrhea by Ocktariyana Ocktariyana, Dian Lestari, Abdul Kadir, Listrianah Listrianah, Handayani Handayani

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Effects of Patterned Sound Deprivation on Short- and Long-Term Plasticity in the Rat Thalamocortical Auditory System In Vivo by Chloe N. Soutar, Laura G. Rosen, Simon G. Rodier, Hans C. Dringenberg

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Emerging Technologies to Promote Fans Interaction in Football Events: A Systematic Review by Francisco Martins, Cíntia França, Pedro Paixão, Diogo V. Martinho, Pedro Campos, Bruna Gouveia, Helder Lopes, Andreas Ihle, Eduardo Marques, Élvio Rúbio Gouveia

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Dynamic Pavement Distress Image Stitching Based on Fine-Grained Feature Matching by Yuchuan Du, Zihang Weng, Chenglong Liu, Difei Wu

“…The original data are firstly filtered based on the global position system (GPS) information, which can avoid full-dataset comparison and improve the calculating efficiency. …”
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Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation by Darwin Li

“…With a reliable model in hand, our study utilized machine learning techniques, particularly the Random Forest algorithm, to navigate through a vast dataset of phytochemicals. This led to the identification of nimbinin, dehydroxymethylflazine, and several other compounds as potential FUS inhibitors. …”
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Effect of Active and Passive Smoking on Retinal Nerve Fibre Layer and Ganglion Cell Complex by Amany Abd El-Fattah El-Shazly, Yousra Ahmed Thabet Farweez, Lamia Salah Elewa, Yasser Abdelmageuid Elzankalony, Botheina Ahmed Thabet Farweez

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Mechanical and Acoustic Emission Characteristics of Sandstone through Triaxial Unloading Test after Cyclic Freezing-Thawing Treatment by Xiaohui Ni, Xiaomei Shen, Zhende Zhu

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Obstructive Sleep Apnea Patients Having Surgery Are Less Associated with Glaucoma by Hsin-Yi Chen, Yue-Cune Chang, Che-Chen Lin, Fung-Chang Sung, Wen-Chi Chen

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Hidden Markov Model-Based Video Recognition for Sports by Zhiyuan Wang, Chongyuan Bi, Songhui You, Junjie Yao

“…By training and optimizing the model in an end-to-end manner, recognition accuracies of 92.7% and 64.4% are achieved on the dataset, respectively.…”
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Plant Disease Identification Based on Deep Learning Algorithm in Smart Farming by Yan Guo, Jin Zhang, Chengxin Yin, Xiaonan Hu, Yu Zou, Zhipeng Xue, Wei Wang

“…Finally, the segmented leaves are input into the transfer learning model and trained by the dataset of diseased leaves under simple background. …”
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