Prediction of neuroblastoma prognosis with a novel T-cell exhaustion-related gene signature by Jiangtao Chen, Xiao Zhai, Haiyang Kuang, Ai Zhang

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Machine learning-based approach for bandwidth and frequency prediction of circular SIW antenna by Md Mahabub Alam, Nurhafizah Abu Talip Yusof, Ahmad Afif Mohd Faudzi, Md Raihanul Islam Tomal, Md Ershadul Haque, Md. Suaibur Rahman

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Computer vision to predict cell seeding coverage in re-endothelialized mouse lungs by Joshua Paciocco, Ahmed Hasan, Jason Chan, Daisuke Taniguchi, Cristina Amon, Golnaz Karoubi, Aimy Bazylak

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A nomogram predicting the risk of postoperative pneumonia after esophagectomy in esophageal carcinoma by Binlie Chen, Weiqi Ke, Meizhen Li

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Predicting wheat yield using deep learning and multi-source environmental data by Muhammad Ashfaq, Imran Khan, Dilawar Shah, Shujaat Ali, Muhammad Tahir

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Integration of MRI radiomics and germline genetics to predict the IDH mutation status of gliomas by Taishi Nakase, George A. Henderson, Thomas Barba, Rohan Bareja, Geno Guerra, Qingyu Zhao, Stephen S. Francis, Olivier Gevaert, Linda Kachuri

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Near-Infrared Spectroscopy and Machine Learning for Fast Quality Prediction of Bottle Gourd by Xiao Guo, Hongyu Huang, Haiyan Wang, Chang Cai, Ying Wang, Xiaohua Wu, Jian Wang, Baogen Wang, Biao Zhu, Yun Xiang

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Car Price Prediction and Recognition Using Deep Learning and Computer Vision Algorithms by Hira Farman, Saad Ahmed, Muhammad Hussain Mughal, Qurat -ul-ain Mastoi, Govari Shankar Lalwani

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Predicting the Evolution of Lung Squamous Cell Carcinoma In Situ Using Computational Pathology by Alon Vigdorovits, Gheorghe-Emilian Olteanu, Ovidiu Tica, Andrei Pascalau, Monica Boros, Ovidiu Pop

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CT-based radiomics for prediction of response to neoadjuvant immunochemotherapy in patients with esophageal carcinoma by Peng Zhao, Xianhe Qiao, Yikang Geng, Yaoyi Yv, Ruiqing Meng, Xiaowei Wu

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Bioinformatics reveal macrophages marker genes signature in breast cancer to predict prognosis by Ying Li, Xin Zhao, Qiang Liu, Yujie Liu

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Use of machine learning in predicting continuity of HIV treatment in selected Nigerian States. by Mukhtar Ijaiya, Erica Troncoso, Marang Mutloatse, Duruanyanwu Ifeanyi, Benjamin Obasa, Franklin Emerenini, Lucien De Voux, Thobeka Mnguni, Shantelle Parrott, Ejike Okwor, Babafemi Dare, Oluwayemisi Ogundare, Emmanuel Atuma, Molly Strachan, Ruby Fayorsey, Kelly Curran

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Artificial neural networks in the outcome prediction of adjustable gastric banding in obese women. by Paolo Piaggi, Chita Lippi, Paola Fierabracci, Margherita Maffei, Alba Calderone, Mauro Mauri, Marco Anselmino, Giovanni Battista Cassano, Paolo Vitti, Aldo Pinchera, Alberto Landi, Ferruccio Santini

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Gait stability prediction through synthetic time-series and vision-based data by Mauricio C. Cordeiro, Ciaran O. Cathain, Ciaran O. Cathain, Ciaran O. Cathain, Vitor B. Nascimento, Thiago B. Rodrigues

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Bayesian Joint Probability Approach for Post‐Processing Monthly Precipitation Prediction in Northwest Iran by Z. Javanshiri, M. Pakdaman

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Can carbon taxes and subsidies promote both carbon reduction and economic growth in dairy farming?—A case study from the global golden milk source belt by Shuai Shi, Changyu Liu, Jia Chi, Yu Jing, Xiaochen Wang

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Modeling of Alanya District Demirtaş-Sedre Stream Flood Zone with MIKE Hydrological Model Program by Mehmet Dikici, Tasvire Gökce

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Promises in Air‐Sea Fully Coupled Data Assimilation for Future Hurricane Prediction by Fuqing Zhang, Kerry Emanuel

“…Abstract The recent article by Li and Toumi (2018, https://doi.org/10.1029/2018GL079677) published in Geophysical Research Letters explored the potential for improving tropical cyclone intensity forecasts by assimilating synthetic coastal surface currents from high‐frequency radar observations. …”
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Application of HRCT-based radiomics to predict interstitial lung disease for juvenile dermatomyositis by Lingke Liu, Minfei Hu, Yun Zhou, Fei Zheng, Xiaohui Ma, Li Yang, Yiping Xu, Liping Teng, Bin Hu, Meiping Lu, Xuefeng Xu

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Optimizing Human Resources for Efficiency and Sustainability through Business Process Modelling with Large Language Models by Réka Koteczki, Boglárka Eisinger Balassa, Dániel Csikor

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