Machine Learning (AutoML)-Driven Wheat Yield Prediction for European Varieties: Enhanced Accuracy Using Multispectral UAV Data by Krstan Kešelj, Zoran Stamenković, Marko Kostić, Vladimir Aćin, Dragana Tekić, Tihomir Novaković, Mladen Ivanišević, Aleksandar Ivezić, Nenad Magazin

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Integration of epigenomic and genomic data to predict residual feed intake and the feed conversion ratio in dairy sheep via machine learning algorithms by Pablo Augusto de Souza Fonseca, Aroa Suarez-Vega, Cristina Esteban-Blanco, Héctor Marina, Rocío Pelayo, Beatriz Gutiérrez-Gil, Juan-José Arranz

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Development of a risk score for colorectal cancer in Chinese males: A prospective cohort study by Lanwei Guo, Hongda Chen, Gang Wang, Zhangyan Lyu, Xiaoshuang Feng, Luopei Wei, Xin Li, Yan Wen, Ming Lu, Yuheng Chen, Jufang Shi, Jiansong Ren, Chunqing Lin, Xinyang Yu, Shuohua Chen, Shouling Wu, Ni Li, Min Dai, Jie He

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Tensile strength and elongation prediction for pulsed current gas tungsten arc welded AISI 4135 steel by auto-associative memory network by Efezino McCarthy Elutabe, Sunday Ayoola Oke, John Rajan, Swaminathan Jose

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Machine learning applications to classify and monitor medication adherence in patients with type 2 diabetes in Ethiopia by Ewunate Assaye Kassaw, Ewunate Assaye Kassaw, Ashenafi Kibret Sendekie, Ashenafi Kibret Sendekie, Bekele Mulat Enyew, Biruk Beletew Abate, Biruk Beletew Abate

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Identifying risk factors for depression and positive/negative mood changes in college students using machine learning by Qi Qiang, Jinsheng Hu, Xianke Chen, Weihua Guo, Qingshuo Yang, Zhijun Wang, Zhihong Liu, Ya Zhang, Qi Li

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Monte Carlo Method for Predicting Educational Service Revenue at Each Level of Education at PT. Kanaka Belajar by Raden Radian Baratasena, Mukidin Mukidin, Kosim Kosim, Adinda Rainah Lova Ariatin

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Explainable machine learning for predicting ICU mortality in myocardial infarction patients using pseudo-dynamic data by Munib Mesinovic, Peter Watkinson, Tingting Zhu

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QSOFA SCORE FOR PREDICTION OF SEPSIS OUTCOME IN THE PATIENTS STAYING IN INTENSIVE CARE WARDS (results of the russian multi-center trial of RISES) by M. N. Astafieva, V. A. Rudnov, V. V. Kulabukhov, V. A. Bagin, N. A. Zubareva, M. A. Tribulev, S. Yu. Mukhacheva

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Extrapolation Reasoning on Temporal Knowledge Graphs via Temporal Dependencies Learning by Ye Wang, Binxing Fang, Shuxian Huang, Kai Chen, Yan Jia, Aiping Li

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Global Relative Importance of Denitrification and Anammox in Microbial Nitrogen Loss Across Terrestrial and Aquatic Ecosystems by Gang He, Danli Deng, Manuel Delgado‐Baquerizo, Wenzhi Liu, Quanfa Zhang

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Decoding Quantitative Traits in Yaks: Genomic Insights for Improved Breeding Strategies by Yujiao Fu, Yuanyuan Yu, Xinjia Yan, Daoliang Lan, Jiabo Wang

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Development and validation of a predictive nomogram for postoperative upper limb lymphedema in breast cancer patients: a retrospective cohort study by Xuemei Luo, Jianrui Ye, Ting Xiao, Hu Jun, Tao Yi

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Trends and forecasts of the prevalence and mortality of Alzheimer’s disease and other dementias in China by Mingxuan Hou, Mingxuan Hou, Ling Yang

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Association between the nutritional inflammation index and mortality among patients with sepsis: insights from traditional methods and machine learning-based mortality prediction by Yuanshuo Ge, Ding Hu, Zhe Wang, Cheng Zhang

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Can the velocity profile in the bench press and the bench pull sufficiently estimate the one repetition maximum in youth elite cross-country ski and biathlon athletes? by Carl-Maximilian Wagner, Michael Keiner, Sebastian Puschkasch-Möck, Klaus Wirth, Stephan Schiemann, Konstantin Warneke

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Deep learning-powered radiotherapy dose prediction: clinical insights from 622 patients across multiple sites tumor at a single institution by Zhen Hou, Lang Qin, Jiabing Gu, Zidong Liu, Juan Liu, Yuan Zhang, Shanbao Gao, Jian Zhu, Shuangshuang Li

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One-compartment stochastic pharmacokinetic model by Ricardo Cano Macías, José Alfredo Jiménez Moscoso, Jorge Mauricio Ruiz Vera

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Modeling the Purpose for Renting Passenger Vehicles by Terence Dimatulac, Hanna Maoh, Shakil Khan

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Modelling the Elliptical Instability of Magnetic Skyrmions by Bruno Barton-Singer

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