Exploiting historical agronomic data to develop genomic prediction strategies for early clonal selection in the Louisiana sugarcane variety development program by Dipendra Shahi, James Todd, Kenneth Gravois, Anna Hale, Brayden Blanchard, Collins Kimbeng, Michael Pontif, Niranjan Baisakh

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PD-1 and LAG-3 were optimal combination of immune checkpoints for predicting poor clinical outcomes of patients with ovarian cancer by Yifan Wu, Cunte Chen, Yingwen Cui, Ruoyao Zou, Yaoxiang Yang, Fengjie Sun, Yanzi Du, Peipei Wang

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MultiScaleFusion-Net and ResRNN-Net: Proposed Deep Learning Architectures for Accurate and Interpretable Pregnancy Risk Prediction by Amna Asad, Madiha Sarwar, Muhammad Aslam, Edore Akpokodje, Syeda Fizzah Jilani

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Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring by Ali Zaki Mohammed Nafa, Adel A. Obed, Ahmed J. Abid, Salam J. Yaqoob, Mohit Bajaj, Mohammad Shabaz

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Quantifying intratumoral heterogeneity within sub-regions to predict high-grade patterns in clinical stage I solid lung adenocarcinoma by Zhichao Zuo, Jinqiu Deng, Wu Ge, Yinjun Zhou, Haibo Liu, Wei Zhang, Ying Zeng

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Application of machine learning algorithms for predicting the life-long physiological effects of zinc oxide Micro/Nano particles on Carum copticum by Maryam Mazaheri-Tirani, Soleyman Dayani, Majid Iranpour Mobarakeh

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Nontargeted metabolomics uncovering metabolite signatures in glioblastoma: a preliminary study on candidate biomarker discovery for IDH subtyping and survival prediction by Peng Xu, Xiling Chen, Qun Li, Zheqing Dong, Ji Zhu, Zhipeng Su, Qifan Zhang, Kui Fang

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Analytical Equations for the Prediction of the Failure Mode of Reinforced Concrete Beam–Column Joints Based on Interpretable Machine Learning and SHAP Values by Ioannis Karampinis, Martha Karabini, Theodoros Rousakis, Lazaros Iliadis, Athanasios Karabinis

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Development and validation of a machine learning-based nomogram for survival prediction of patients with hilar cholangiocarcinoma after curative-intent resection by Yubo Ma, Qi Li, Zhenqi Tang, Kangpeng Li, Chen Chen, Jianjun Lei, Dong Zhang, Zhimin Geng

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Prediction of performance and emission features of diesel engine using alumina nanoparticles with neem oil biodiesel based on advanced ML algorithms by M. S. Aswathanrayan, N. Santhosh, Srikanth Holalu Venkataramana, Kurugundla Sunil Kumar, Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Sameer Algburi, Osamah J. Al-sareji, A. Bhowmik

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Global, regional, and national burden of multiple myeloma, 1990 to 2021 and predictions to 2035: an analysis of the Global Burden of Disease Study 2021 by Xin Miao, ZhaoXian Wang, HanYu Wang, XiaoYu Zeng, JiaHao Wang, Bing Luo, Ye Yang, JiaFu Yang, Lu Zhao

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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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Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems by Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Kevin McDougall, Warna Karunasena, Hadi Nourizadeh, Shima Entezam, Shahab Hosseini, Naj Aziz

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Gnanonobodom Tiou-Tagba Aliti, Modélisation des déséquilibres financiers globaux et régimes de change by Gnanonobodom Tiou-Tagba Aliti

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Modeling of an Electric Tractor and Determining Energy Consumption Values for Different Duties by Venkata Krishna Teja Thallapalli, Ahmet Onur Kıyaklı, Tolga Kocakulak

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Research for SARIMA and PatchTSMixer Models on the IEA Monthly Statistics Dataset by Hu Yuwei

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Global, regional, and national time trends in falls and their predictions: an age-period-cohort analysis of the Global Burden of Disease Study 2021 by Huan Jiang, Ning Sun, Huiqi Yang, Ye Li, Ye Li, Lihong Jiang, Huicui Zhao, Yi Zeng, Chengyang Sun, Chun Xu, Yongqiang Lai, Jia Meng

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The burden and trend prediction of ischemic heart disease associated with lead exposure: Insights from the Global Burden of Disease study 2021 by Yunfa Ding, Anxia Deng, Teng Fei Qi, Hao Yu, Liang Ping Wu, Hongbin Zhang

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Constructing a novel mitochondrial metabolism-related genes signature to evaluate tumor immune microenvironment and predict survival of colorectal cancer by Hou Wang, Hou Wang, Kai Zhang, Guang Ning, Guang Ning

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Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder by Yilu Zhao, Zhao Fu, Eric J. Barnett, Ning Wang, Kangfuxi Zhang, Xuping Gao, Xiangyu Zheng, Junbin Tian, Hui Zhang, XueTong Ding, Shaoxian Li, Shuyu Li, Qingjiu Cao, Suhua Chang, Yufeng Wang, Stephen V. Faraone, Li Yang

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