Defining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation. by Katherine I Morley, Joshua Wallace, Spiros C Denaxas, Ross J Hunter, Riyaz S Patel, Pablo Perel, Anoop D Shah, Adam D Timmis, Richard J Schilling, Harry Hemingway

“…<h4>Background</h4>National electronic health records (EHR) are increasingly used for research but identifying disease cases is challenging due to differences in information captured between sources (e.g. primary and secondary care). …”
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Using topological data analysis and machine learning to predict customer churn by Marcel Sagming, Reolyn Heymann, Maria Vivien Visaya

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Rill Erosion and Drainage Development in Post-Landslide Settings Using UAV–LiDAR Data by Xinyu Chen, Albertus Stephanus Louw, Ali P. Yunus, Saleh Alsulamy, Deha Agus Umarhadi, Md. Alamgir Hossen Bhuiyan, Ram Avtar

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Four-dimensional green transportation problem considering multiple objectives and product blending in Fermatean fuzzy environment by Monika Bisht, Ali Ebrahimnejad

“…Lastly, we present key conclusions along with the limitations of the proposed approach, and suggest directions for future research building upon this work.…”
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Left ventricular systolic dysfunction predicted by artificial intelligence using the electrocardiogram in Chagas disease patients-The SaMi-Trop cohort. by Bruno Oliveira de Figueiredo Brito, Zachi I Attia, Larissa Natany A Martins, Pablo Perel, Maria Carmo P Nunes, Ester Cerdeira Sabino, Clareci Silva Cardoso, Ariela Mota Ferreira, Paulo R Gomes, Antonio Luiz Pinho Ribeiro, Francisco Lopez-Jimenez

“…Recently, an artificial intelligence (AI)-enabled ECG algorithm showed excellent accuracy to detect LVSD in a general population, but its accuracy in ChD has not been tested.…”
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Review on Hybrid Deep Learning Models for Enhancing Encryption Techniques Against Side Channel Attacks by Amjed A. Ahmed, Mohammad Kamrul Hasan, Azana H. Aman, Nurhizam Safie, Shayla Islam, Fatima A. Ahmed, Thowiba E. Ahmed, Bishwajeet Pandey, Leila Rzayeva

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Comprehensive Cardiopulmonary Resuscitation Training for Foreign Medical Students by S. Rocha Ferreira, S. A. Perepelitsa, Sh. A. Narode, K. Yu. Koreshkova, A. M. Harer, K. S. Borate, N. R. Tuklia

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Predicting Trip Duration and Distance in Bike-Sharing Systems Using Dynamic Time Warping by Ahmed Ali, Ahmad Salah, Mahmoud Bekhit, Ahmed Fathalla

“…This huge volume of bike sharing data raises various challenges and opportunities. Many research studies have used bike sharing datasets to understand the geographical, social, financial, and behavioral aspects of bike user behaviors. …”
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Retrieving Inland Water Quality Parameters via Satellite Remote Sensing: Sensor Evaluation, Atmospheric Correction, and Machine Learning Approaches by Mohsen Ansari, Anders Knudby, Meisam Amani, Michael Sawada

“…Finally, recommendations for promising research directions are provided.…”
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China Aerosol Raman Lidar Network (CARLNET)—Part I: Water Vapor Raman Channel Calibration and Quality Control by Nan Shao, Qin Wang, Zhichao Bu, Zhenping Yin, Yaru Dai, Yubao Chen, Xuan Wang

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Comparative analysis prediction of prostate and testicular cancer mortality using machine learning: accuracy study by Aurélio Gomes de Albuquerque Neto, David Medeiros Nery, João Paulo Araújo Braz, Carla Ferreira do Nascimento, Tiago Almeida de Oliveira, Brígida Gabriele Albuquerque Barra, Leonardo Thiago Duarte Barreto Nobre, Diego Bonfada, Janine Karla França da Silva Braz

“…RESULTS: The research data were made publicly available on GitHub. …”
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MambaPose: A Human Pose Estimation Based on Gated Feedforward Network and Mamba by Jianqiang Zhang, Jing Hou, Qiusheng He, Zhengwei Yuan, Hao Xue

“…Human pose estimation is an important research direction in the field of computer vision, which aims to accurately identify the position and posture of keypoints of the human body through images or videos. …”
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Retrieval of Cloud Ice Water Path from FY-3F MWTS and MWHS by Fuxiang Chen, Hao Hu, Fuzhong Weng, Changjiao Dong, Xiang Fang, Jun Yang

“…These findings confirm the high accuracy of IWP retrieval from FY-3F data, which holds significant value for advancing IWP research in China.…”
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AI-Based Prediction of Visual Performance in Rhythmic Gymnasts Using Eye-Tracking Data and Decision Tree Models by Ricardo Bernardez-Vilaboa, F. Javier Povedano-Montero, José Ramon Trillo, Alicia Ruiz-Pomeda, Gema Martínez-Florentín, Juan E. Cedrún-Sánchez

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Multi-Objective Optimization of Gas Storage Compressor Units Based on NSGA-II by Lianbin Zhao, Lilin Fan, Jun Lu, Mingmin He, Su Qian, Qingsong Wei, Guijiu Wang, Haoze Bai, Hu Zhou, Yongshuai Liu, Cheng Chang

“…A multi-objective optimization model based on the NSGA-II algorithm is proposed to maximize gas injection volume while minimizing energy consumption. …”
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A fuzzy-predictive current control with real-time hardware for PEM fuel cell systems by Badreddine Kanouni, Abd Essalam Badoud, Saad Mekhilef, Ahmed Elsanabary, Mohit Bajaj, Ievgen Zaitsev

“…Abstract This research study presents the application of the FC-PCC (Fuzzy Logic Predictive Current Control) algorithm in the context of maximum power point tracking (MPPT) for a proton exchange membrane fuel cell system employing a three-level boost converter (TLBC). …”
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SmoothDectector: A Smoothed Dirichlet Multimodal Approach for Combating Fake News on Social Media by Akinlolu Oluwabusayo Ojo, Fatma Najar, Nuha Zamzami, Hanen T. Himdi, Nizar Bouguila

“…This reliance limits the ability of researchers to explore different modeling assumptions freely. …”
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Multisystem Abdominal Trauma in Pregnancy: Multidisciplinary Approach to Diagnosis and Treatment by V. V. Aleksandrov, N. A. Burova, S. S. Maskin, V. V. Matyukhin

“…The treatment and diagnostic algorithm for multisystem abdominal trauma in pregnant women was standardized based on their hemodynamic status, and indications for minimally invasive and open interventions in this category of patients were clarified.Conclusion. …”
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Forecasting Stock Market Volatility Using Housing Market Indicators: A Reinforcement Learning-Based Feature Selection Approach by Pourya Zareeihemat, Samira Mohamadi, Jamal Valipour, Seyed Vahid Moravvej

“…Additionally, the customized ABC algorithm specifically optimizes hyperparameters to increase the adaptability and performance of the model under varying market conditions. …”
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Integration of Multi-Source Landslide Disaster Data Based on Flink Framework and APSO Load Balancing Task Scheduling by Zongmin Wang, Huangtaojun Liang, Haibo Yang, Mengyu Li, Yingchun Cai

“…To tackle the issue of uneven cluster load distribution during the integration process, the APSO algorithm is proposed to facilitate cluster load balancing. …”
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