Postpartum Haemorrhage Risk Prediction Model Developed by Machine Learning Algorithms: A Single-Centre Retrospective Analysis of Clinical Data by Wenhuan Wang, Chanchan Liao, Hongping Zhang, Yanjun Hu

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Enhancing environmental monitoring of harmful algal blooms with ConvLSTM image prediction by Sung Jae Kim, Yongbok Cho

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Reform and innovation of physical education teaching methods in universities based on fuzzy decision support systems by Zhaojin Zhong, Wenzhi Guo, Regina Nacional

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Shifting Landscape of Rural Transformation in Bangladesh: Exploring the Interplay of Non‐Farm GDP, Infrastructure and Education by Subrata Saha, Mohammad Jahangir Alam, Al Amin Al Abbasi, Ismat Ara Begum, Maria Fay Rola‐Rubzen

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Contextual ITSM Adoption Across Educational Levels: A University and a Secondary School in Jakarta by Marcel Marcel, Nur Chalik Azhar

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Evaluating Prediction Performance: A Simulation Study Comparing Penalized and Classical Variable Selection Methods in Low-Dimensional Data by Edwin Kipruto, Willi Sauerbrei

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Predicting Short-Range Weather in Tropical Regions Using Random Forest Classifier by Sellappan Palaniappan, Rajasvaran Logeswaran, Anitha Velayutham, Bui Ngoc Dung

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HERGAI: an artificial intelligence tool for structure-based prediction of hERG inhibitors by Viet-Khoa Tran-Nguyen, Ulrick Fineddie Randriharimanamizara, Olivier Taboureau

“…It also demonstrated superior screening power compared to virtual screening schemes that used existing scoring functions. This model, named “HERGAI,” along with relevant input/output data and user-friendly source code, is available in our GitHub repository ( https://github.com/vktrannguyen/HERGAI ) and can be used to predict drug-induced hERG blockade, even on large data sets.…”
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A Machine Learning‐Based Approach to Quantify ENSO Sources of Predictability by Ioana Colfescu, Hannah Christensen, David John Gagne

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An Empirical Correlation to Predict the Ignition Delay Time for Some Hydrocarbon Fuels by F. S. Shariatmadar, Sh. Ghanbari Pakdehi, M. A. Zarei

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Study of the slant fracture in solid and hollow cylinders: Experimental analysis and numerical prediction by N. Ben Chabane, N. Aguechari, M. Ould Ouali

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National Carbon Price Prediction Considering Carbon Emissions from the Power Industry by Yirong WANG, Haolin CHEN, Lishen LIN, Jin TANG

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Advancing CVD Risk Prediction with Transformer Architectures and Statistical Risk Factor Filtering by Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro

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Machine Learning and Deep Learning for Wildfire Spread Prediction: A Review by Henintsoa S. Andrianarivony, Moulay A. Akhloufi

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Modeling the physiological response of flow in groups: a mathematical approach by David Antonio Rosas, Natalia Padilla-Zea, Daniel Burgos

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A Global Deep Learning Perspective on Australia-Wide Monthly Precipitation Prediction by Luyi Shen, Guoqi Qian, Antoinette Tordesillas

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PerturbNet predicts single-cell responses to unseen chemical and genetic perturbations by Hengshi Yu, Weizhou Qian, Yuxuan Song, Joshua D Welch

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Study of the slant fracture in solid and hollow cylinders: Experimental analysis and numerical prediction by Nassima Ben Chabane, Nassim Aguechari, Mohand Ould Ouali

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Crack prediction in beam-like structure using ANN based on frequency analysis by Meriem Seguini, Nedjar Djamel, Boutchicha Djilali, Samir Khatir, Magd Abdel Wahab

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AI chatbots in programming education: guiding success or encouraging plagiarism by Gökhan Akçapınar, Elif Sidan

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