Predicting the Performance of a Basin-Type Solar Still at Different Locations in Pakistan Using a Mathematical Model by Nawaf Mehmood Malik, Waqas Khalid, Muhammad Tauseef Nasir, Muhammad Talha

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Hybrid Deep Learning Approaches for Improved Genomic Prediction in Crop Breeding by Ran Li, Dongfeng Zhang, Yanyun Han, Zhongqiang Liu, Qiusi Zhang, Qi Zhang, Xiaofeng Wang, Shouhui Pan, Jiahao Sun, Kaiyi Wang

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Construction and validation of a lysine beta hydroxybutyrylation related molecular model for predicting biochemical recurrence of prostate cancer by Desheng Zhu, Shiyong Huang

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Predicting species distributions in the open ocean with convolutional neural networks by Morand, Gaétan, Joly, Alexis, Rouyer, Tristan, Lorieul, Titouan, Barde, Julien

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Development and internal validation of a prognostic model for predicting tonic-clonic seizures during pregnancy in women with epilepsy by Yanru Du, Wenting Huang, Ying Wang, Jiahe Lin, Niange Xia, Zhenguo Zhu, Xinshi Wang, Yuchen Xu, Huiqin Xu

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Development and validation of a prealbumin–bilirubin model for prognostic prediction in intermediate hepatocellular carcinoma undergoing transarterial chemoembolization by Nan Jiang, Yi Zhan, Shuai Zhang, Binyan Zhong, Jun Yang, Yu Yin, Wanci Li, Mingming Li, Jian Shen, Zhi Li, Xiaoli Zhu, Caifang Ni

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Algorithm for link prediction in self-regulating network with adaptive topology based on graph theory and machine learning by Evgeny Y. Pavlenko

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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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Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence by Asma Aldrees, Stephen Ojo, James Wanliss, Muhammad Umer, Muhammad Attique Khan, Bayan Alabdullah, Shtwai Alsubai, Nisreen Innab

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Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Karen Fiorella Aquino Gutierrez, Renato Cerqueira, Dmitry Zubarev, Kristin Schmidt, Daniel P Sanders

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Development and validation of a clinical prediction model for Iliac vein compression syndrome in outpatients with varicose veins of the lower extremities by Hong-Hua Zhou, Lili Hu, Zhen Li, Hai Hu

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Heavy metal adsorption efficiency prediction using biochar properties: a comparative analysis for ensemble machine learning models by Zaher Mundher Yaseen, Farah Loui Alhalimi

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Study on influencing factors and prediction model of strength and compression index of sandy silt on bank under freeze–thaw cycles by Zhen Yang, Xianyou Mou, Hao Li, Honglan Ji, Yuxin Mao, Hongze Song

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Impacts of Uncontrolled Operator Splitting Methods on Parameter Identification, Prediction Uncertainty, and Subsurface Flux Representation in Conceptual Hydrological Models by Befekadu Taddesse Woldegiorgis, Helen Baulch, Howard Wheater, Jill Crossman, Martyn Clark, Tricia Stadnyk, Ajay Bajracharya

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Development of a prediction model integrating PD-1 and ICOS for early differential diagnosis between autoimmune and viral encephalitis by Kaiyue Xu, Jinjing Jia, Yinghui Duan, Shuying Chen, Xinyi Xiao, Feng Zhu, Xin Wang, Yanzheng Gu, Jingluan Tian, Qun Xue, Qun Xue

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Fastest Prostate Cancer Prediction on Whole-Mount Pathological Slides Using Self-Reform Multilayer Transformer by Linjie Xu, Xiaotian Yu, Haoming Luo, Jili Wang, Wenjie Liang, Jing Zhang, Zunlei Feng, Cheng Lu, Xiuming Zhang

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MetaStackD A robust meta learning based deep ensemble model for prediction of sensors battery life in IoE environment by D. Gayathri, S. P. Shantharajah

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Modeling radiologists’ cognitive processes using a digital gaze twin to enhance radiology training by Akash Awasthi, Anh Mai Vu, Ngan Le, Zhigang Deng, Supratik Maulik, Rishi Agrawal, Carol C. Wu, Hien Van Nguyen

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Hybrid CNN-LSTM Model with Custom Activation and Loss Functions for Predicting Fan Actuator States in Smart Greenhouses by Gregorius Airlangga, Julius Bata, Oskar Ika Adi Nugroho, Boby Hartanto Pramudita Lim

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