Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers by Palawat Busaranuvong, Emmanuel Agu, Deepak Kumar, Shefalika Gautam, Reza Saadati Fard, Bengisu Tulu, Diane Strong

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Neural Network Technologies in Predicting the Operating Status of Agricultural Enterprises by Aleksandr V. Grachev

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Prediction of subway shield construction parameters based on multi-layer perceptron by LI Wenqian, WU Yunhuan, WU Jingye, CHEN Zhihuai, XIE Senlin, HU Anfeng

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Identification of key programmed cell death genes for predicting prognosis and treatment sensitivity in colorectal cancer by Jian-ying Ma, Jian-ying Ma, Yi-xian Wang, Zhen-yu Zhao, Zhen-yu Xiong, Zi-long Zhang, Jun Cai, Jia-wei Guo

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A Comprehensive Review of Machine Learning Models for Optimizing Wind Power Processes by Cosmina-Mihaela Rosca, Adrian Stancu

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Efficient Machine Learning Models for Solar Radiation Prediction Using Ensemble Techniques: A Case Study in Low-Rainfall Arid Climates by Jimmy Aurelio Rosales Huamani, Uwe Rojas Villanueva, Christian Leonardo Rosales Ventocilla, Jose Luis Castillo Sequera, Jose Manuel Gomez Pulido

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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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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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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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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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Cumulative Distribution-Based Method for Pavement Performance Modeling by Chenhao Tu, Wenya Ye, Rui Zhang, Xudong Qian, Qun Yang

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