Modeling inactivation of non-proteolytic Clostridium botulinum type B spores in a plant-based fish alternative by Chrysanthi Champidou, Chrysanthi Champidou, Mariem Ellouze, Nabila Haddad, Jeanne-Marie Membré

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Asymptotic modeling of viscoelastic thin plates and slender beams, a unifying approach by Terapabkajornded, Yotsawat, Orankitjaroen, Somsak, Licht, Christian, Weller, Thibaut

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Predicting Energy and Emissions in Residential Building Stocks: National UBEM with Energy Performance Certificates and Artificial Intelligence by Carlos Beltrán-Velamazán, Marta Monzón-Chavarrías, Belinda López-Mesa

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Innovative approach for experimental investigation and monitoring and warning of the evolutionary patterns of dam body failure in earth dams by Yunqian Xu, Tengfei Bao, Shu Zhang, Mingdao Yuan

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Predicting Tumour Progression of ID-8 Syngeneic Mouse Ovarian Cancer with Blood Biomarkers of CA-125, IL-6 and VEGF: A Prospective Laboratory-Based Study by Kenny Chitcholtan, Arron Dyer, Peter Sykes

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Development and validation of a nomogram for predicting immune-related thyroid dysfunction during immunotherapy in non-small cell lung cancer: a prospective cohort study in China by Qianjie Xu, Yuliang Yuan, Xiaosheng Li, Lulu Wang, Wei Zhou, Zuhai Hu, Haike Lei, Yongzhong Wu

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Link Availability-Aware Routing Metric Design for Maritime Mobile Ad Hoc Network by Shuaiheng Huai, Tianrui Liu, Yi Jiang, Yanpeng Dai, Feng Xue, Qing Hu

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Enhancing Agricultural Sustainability Through Intelligent Irrigation Using PVT Energy Applications: Implementing Hybrid Machine and Deep Learning Models by Youness El Mghouchi, Mihaela Tinca Udristioiu

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An online tool for fetal fraction prediction based on direct size distribution analysis of maternal cell-free DNA by Luca Bedon, Josef Vuch, Simeone Dal Monego, Germana Meroni, Vanna Pecile, Danilo Licastro

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Predicting Index Trend Using Hybrid Neural Networks with a Focus on Multi-Scale Temporal Feature Extraction in the Tehran Stock Exchange by Mohammad Osoolian, Ali Nikmaram, Mahdi Karimi

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A Tractor Work Position Prediction Method Based on CNN-BiLSTM Under GNSS Signal Denial by Yangming Hu, Liyou Xu, Xianghai Yan, Ningjie Chang, Qigang Wan, Yiwei Wu

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AI-Enhanced Nonlinear Predictive Control for Smart Greenhouses: A Performance Comparison of Forecast and Warm-Start Strategies by Hung Linh Le, Van-Tung Bui

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Automated Probabilistic System Architecture Analysis in the Multi-Attribute Prediction Language (MAPL): Iteratively Developed using Multiple Case Studies by Robert Lagerström, Pontus Johnson, Mathias Ekstedt, Ulrik Franke, Khurram Shahzad

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Prediction of axillary lymph node metastasis in triple negative breast cancer using MRI radiomics and clinical features by Yunyun Shen, Renjun Huang, Yinghui Zhang, Jianguo Zhu, Yonggang Li

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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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Development and cross-validation of predictive equations for fat-free mass estimation by bioelectrical impedance analysis in Brazilian subjects with overweight and obesity by Kalina Veruska Da Silva Bezerra Masset, Analiza M. Silva, Analiza M. Silva, Gerson Ferrari, Gerson Ferrari, Breno Guilherme De Araújo Tinoco Cabral, Paulo Moreira Silva Dantas, Roberto Fernandes Da Costa

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Predicted Chemical Speciation Distribution of Uranium and Other Elements in Leaching Solution From Specific Uranium Deposit by Using CHEMSPEC Software by Ya-wen CHEN, Wan-qiang ZHOU, Zheng-bang LIU, Ning GUO, Yu-qing NIU, Xiang-yun WANG, Hai-cheng WENG, Chun-li LIU

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COVID outcome prediction in the emergency department (COPE): using retrospective Dutch hospital data to develop simple and valid models for predicting mortality and need for intens... by Annelies Verbon, Jelmer Alsma, Hester Lingsma, David M Kent, David van Klaveren, Rozemarijn L van Bruchem-Visser, Tom Dormans, Stephanie C E Schuit, Alexandros Rekkas, Rob J C G Verdonschot, Dick T J J Koning, Marlijn J A Kamps, Robert Stassen, Sebastiaan Weijer, Klaas-Sierk Arnold, Benjamin Tomlow, Hilde R H de Geus, Jelle R Miedema, Els van Nood

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Comparison of cardiovascular risk prediction models developed using machine learning based on data from a Sri Lankan cohort with World Health Organization risk charts for predictin... by Anuradhani Kasturiratne, Hithanadura Janaka de Silva, Chamila Mettananda, Anuradha Supun Dassanayake, Norihiro Kato, Rajitha Wickremasinghe, Maheeka Solangaarachchige, Prasanna Haddela

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ReScConv-xLSTM: An improved xLSTM model with spatiotemporal feature extraction capability for remaining useful life prediction of Aero-engine by Mingxing Huang, Lanying Yang, Gang Jiang, Xingan Hao, Hong Lu, Hang Luo, Peng Wang, Jinyang Li

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