Enhancing thyroid disease prediction and comorbidity management through advanced machine learning frameworks by P. Sanju, N. Syed Siraj Ahmed, P. Ramachandran, P. Mohamed Sajid, R. Jayanthi

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Research on credit card transaction security supervision based on PU learning by Renfeng CHEN, Hongbin ZHU

“…The complex and ever-evolving nature of credit card cash out methods and the emergence of various forms of fake transactions present challenges in obtaining accurate transaction information during customer interactions.In order to develop an accurate supervision method for detecting fake credit card transactions, a PU (positive-unlabeled learning) based security identification model for single credit card transactions was established.It was based on long-term transaction label data from cashed-up accounts in commercial banks’ credit card systems.A Spy mechanism was introduced into sample data annotation by selecting million positive samples of highly reliable cash-out transactions and 1.3 million samples of transactions to be labeled, and using a learner to predict the result distribution and label negative samples of non-cash-out transactions that were difficult to identify, resulting in 1.2 million relatively reliable negative sample labels.Based on these samples, 120 candidate variables were constructed, including credit card customer attributes, quota usage, and transaction preference characteristics.After importance screening of variables, nearly 50 candidate variables were selected.The XGBoost binary classification algorithm was used for model development and prediction.The results show that the proposed model achieve an identification accuracy of 94.20%, with a group stability index (PSI) of 0.10%, indicating that the single credit card transaction security identification model based on PU learning can effectively monitor fake transactions.This study improves the model discrimination performance of machine learning binary classification algorithm in scenarios where high-precision sample label data is difficult to obtain, providing a new method for transaction security monitoring in commercial bank credit card systems.…”
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Presenting a model for the diagnosis of heart failure using cumulative and deep learning algorithms: a case study of tehran heart center by Amir Hossein Hariri, Esmaeil Bagheri, Sayyed Mohammad Reza Davoodi

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Landslide Susceptibility Zonation Mapping Using Machine Learning Algorithms and Statistical Prediction at Hunza Watershed Basin, Pakistan by A. Khan, G. Khan, M. Minhas, S. A. Hussain Gardezi, J. Ahmed and N. Abbas

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Progestogen only contraception in women with congenital heart disease by Francesc Baró-Mariné, Antonia Pijuan-Domènech, Maria del Mar Goya, Elena Suárez-Edo, Berta Miranda-Barrio, Laura Dos-Subirà, Maria Luisa Pancorbo, Ignacio Ferreira-Gonzalez, Elena Carreras-Moratonas

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Wheat disease recognition method based on the SC-ConvNeXt network model by Tianliang Dong, Xiao Ma, Bin Huang, Wenyu Zhong, Qingan Han, Qinghai Wu, You Tang

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Temporal Evolution of Environmental Impact Arising from Municipal Solid Waste Treatment Systems: A Case Study of Guangzhou, China by Guangli Zhou, Yifan Gu, Yufeng Wu, Yu Gong

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PUPIL DIAMETER AND MACHINE LEARNING FOR DEPRESSION DETECTION: A COMPARATIVE STUDY WITH DEEP LEARNING MODELS by Islam MOHAMED, Mohamed EL-WAKAD, Khaled ABBAS, Mohamed ABOAMER, Nader A. Rahman MOHAMED

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A Deep Learning Approach to Classify Fabry Cardiomyopathy from Hypertrophic Cardiomyopathy Using Cine Imaging on Cardiac Magnetic Resonance by Wei-Wen Chen, Ling Kuo, Yi-Xun Lin, Wen-Chung Yu, Chien-Chao Tseng, Yenn-Jiang Lin, Ching-Chun Huang, Shih-Lin Chang, Jacky Chung-Hao Wu, Chun-Ku Chen, Ching-Yao Weng, Siwa Chan, Wei-Wen Lin, Yu-Cheng Hsieh, Ming-Chih Lin, Yun-Ching Fu, Tsung Chen, Shih-Ann Chen, Henry Horng-Shing Lu

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Efficacy of CTPV for Diagnostic and Therapeutic Assessment: Comparison with Endoscopy in Cirrhotic Patients with Gastroesophageal Varices by Zijin Cui, Haiqing Yang, Xiaoxu Jin, Huiqing Jiang, Wei Qi, Wenfeng Feng, Zhijie Feng

“…The presence, grade, and classification of GEVs on endoscopy and CTPV were compared (kappa test). …”
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A survey of MRI-based brain tissue segmentation using deep learning by Liang Wu, Shirui Wang, Jun Liu, Lixia Hou, Na Li, Fei Su, Xi Yang, Weizhao Lu, Jianfeng Qiu, Ming Zhang, Li Song

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Transcriptomic analysis of the root system of Platycodon grandiflorum in response to the fallen leaves of Acer truncatum by FENG Chaoqun, RUAN Kunfei, SHI Shaotong, LI Sen, CHENG Shaoying, LIU Zhonghua

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Research on multi-label recognition of tongue features in stroke patients based on deep learning by Honghua Liu, Peiqin Zhang, Yini Huang, Shanshan Zuo, Lu Li, Chang She, Mailan Liu

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MARJOLIN'S ULCER: MALIGNANT TRANSFORMATION FROM BURN SCAR by Arif Tri Prasetyo, Sitti Rizaliyana, Iswinarno Doso Saputro

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ECG‐based epileptic seizure prediction: Challenges of current data‐driven models by Sotirios Kalousios, Jens Müller, Hongliu Yang, Matthias Eberlein, Ortrud Uckermann, Gabriele Schackert, Witold H. Polanski, Georg Leonhardt

“…Results The mean receiver operating characteristic (ROC) area under the curve (AUC) for the non‐causal experiment was 0.823 (±0.12), with 208 (82.5%) seizures achieving an improvement over chance (IoC) classification score (p < 0.05, Hanley & McNeil test). …”
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Numerical study of eddy current by Finite Element Method for cracks detection in structures by S. Harzallah, M. Chabaat, K. Chabane

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Reactualization of Moral Intelligence and Civility of Citizens by Sumaryati Sumaryati

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One Fungus = One Name: DNA and fungal nomenclature twenty years after PCR by J.W. Taylor

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Credit risk identification of high-risk online lending enterprises based on neural network model by Mao-guang WANG, Zi-jun ZHU

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AN ANALYSIS OF TECHNICAL DEVICES IN TRANSLATION PROCEDURES APPLIED IN HARRY POTTER FIRST NOVEL by Marisa Fran Lina

“…According to the classification, it is found that there are 10 data of addition, 13 data of subtraction, 12 data of adaptation and 9 data of elimination. …”
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