Advanced Hydroponic Nutrient Management Systems for Vertical Farming Efficiency with IoT and Model Predictive Control to Enhance Sustainable Crop Growth by Almusawi Muntather, Hussein Abbas Hameed Abdul, Raju V. Siva Prasada

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Development and validation of a predictive model for upper gastrointestinal bleeding in peritoneal dialysis patients: a retrospective, multicenter cohort study by Sijia Shang, Xing Zhang, Xiaojiang Zhan, Na Tian, Fenfen Peng, Yueqiang Wen, Xiaoyang Wang, Xiaoran Feng, Qian Zhou, Xianfeng Wu, Qingdong Xu, Hongrui Shi, Ning Su

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Machine learning-based predictive modeling of angina pectoris in an elderly community-dwelling population: Results from the PoCOsteo study. by Shahrokh Mousavi, Zahrasadat Jalalian, Sima Afrashteh, Akram Farhadi, Iraj Nabipour, Bagher Larijani

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Econometric predictive model for assessing the functional state of students during the examination period: a cross-sectional exploratory pilot study by I. S. Knyazhev, L. V. Karaulova, O. V. Reztsov, A. P. Spitsin

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Development of a multi-laboratory integrated predictive model for silicosis utilizing machine learning: a retrospective case-control study by Guo-kang Sun, Yun-hui Xiang, Lu Wang, Pin-pin Xiang, Zi-xin Wang, Jing Zhang, Ling Wu

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Predictive model development combining CT-FFR and SYNTAX score for major adverse cardiovascular events in complex coronary artery disease by Weiqing Luo, Chen Li, Guangdong Yan, Zhichuan Huang, Yilin Yue, Deguang Yang, Shaoheng Zhang

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Development and validation of a new predictive model for the immune tolerance stage of chronic HBV infection based on the liver histopathological changes by Wentao Li, Rui Huang, Jian Wang, Binhao Zhang, Qiupeng Wang, Jiang Feng, Tongjing Xing

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Optimizing the High-Quality Embryo Rate in Couples With Male Factor Infertility: Insights From Predictive Modeling and Causal Effect Estimations by Qingxin Wang, Xiaoli Sun, Lingna Peng, Xiaoling Gu, Yannan Chen, Minyan Yu, Jian Song, Quan Yuan

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Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Based Machine Learning Model by Md. Siddikur Rahman, Miftahuzzannat Amrin, Md. Abu Bokkor Shiddik

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Construction of a predictive model for cerebral small vessel disease MRI burden based on β2-microglobulin and lipoprotein(a) by Xiaoyan LI, Hongge JI, Tingting WANG, Yingying LI, Xijing ZHA, Bin LI, Dan JIANG

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Development and validation of a multidimensional predictive model for 28-day mortality in ICU patients with bloodstream infections: a cohort study by Jun Jin, Jun Jin, Lei Yu, Qingshan Zhou, Qian Du, Xiangrong Nie, Hai-Yan Yin, Wan-Jie Gu

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A predictive model for hospital death in cancer patients with acute pulmonary embolism using XGBoost machine learning and SHAP interpretation by Zhen-nan Yuan, Yu-juan Xue, Hai-jun Wang, Shi-ning Qu, Chu-lin Huang, Hao Wang, Hao Zhang, Min-ze Zhang, Xue-zhong Xing

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A predictive model for heart failure with preserved ejection fraction following acute myocardial infarction: the HFpEF-AMI score by Xi Wu, Mingxing Wu, Haobo Huang, Zhe Liu, He Huang, Lei Wang

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Multitask deep learning model based on multimodal data for predicting prognosis of rectal cancer: a multicenter retrospective study by Qiong Ma, Runqi Meng, Ruiting Li, Ling Dai, Fu Shen, Jie Yuan, Danqi Sun, Manman Li, Caixia Fu, Rong Li, Feng Feng, Yonggang Li, Tong Tong, Yajia Gu, Yiqun Sun, Dinggang Shen

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Construction of a predictive model for rebleeding risk in upper gastrointestinal bleeding patients based on clinical indicators such as Helicobacter pylori infection by Wei Zang, Ze Lin, Yanduo Zhao, Tianshi Jia, Xinglong Zhang

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Machine Learning and Deep Learning for Loan Prediction in Banking: Exploring Ensemble Methods and Data Balancing by Eslam Hussein Sayed, Amerah Alabrah, Kamel Hussein Rahouma, Muhammad Zohaib, Rasha M. Badry

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Operator-agnostic and real-time usable psychophysiological models of trust, workload, and situation awareness by Erin E. Richardson, Jacob R. Kintz, Savannah L. Buchner, Torin K. Clark, Allison P. Hayman

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AdaptedNorm: An Adaptive Modeling Strategy for Graph Convolutional Network-Based Deep Learning Tasks by Chuan Dai, Yajuan Wei, Hao Wang, Ying Liu, Zhijie Xu

“…This study proposes AdaptedNorm, a principled framework that establishes connections between normalization schemes and GCN task objectives, while introducing three key contributions: 1) A novel random walk re-normalized transformation (RWRT) technique for graph representation normalization; 2) A task-aligned modeling paradigm demonstrating that symmetric re-normalized transformation (SRT) enhances node classification accuracy, while RWRT achieves superior performance in link prediction; 3) Integration of normalization schemes with GNN sparsification strategies, enabling effective model compression without sacrificing performance. …”
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A Comparative Study of XBORE and XBOREOPT Hybrid Models for Ore Production Forecasting in the Mining Industry by Morris Mkokweza, Santhi Kumaran, George Mufungulwa

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Early Prediction of Student Suspension and Dropout for Counseling Resource Optimization Using Multilayer Perceptron by Yu-Huei Cheng, Mu-Hsin Shih, Che-Nan Kuo

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