Improving Stream Solute Predictions With a Modified LSTM Model Incorporating Solute Interdependences and Hysteresis Patterns by Tarun Agrawal, Allison Goodwell, Praveen Kumar

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Research on monthly runoff prediction model considering secondary decomposition of multiple fitness functions and deep learning by Zhongfeng Zhao, Xueni Wang, Hua Jin, Jie Zheng

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The use of bivariate spatial modeling of questionnaire and parasitology data to predict the distribution of Schistosoma haematobium in Coastal Kenya. by Hugh J W Sturrock, Rachel L Pullan, Jimmy H Kihara, Charles Mwandawiro, Simon J Brooker

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Chemotaxis: a feedback-based computational model robustly predicts multiple aspects of real cell behaviour. by Matthew P Neilson, Douwe M Veltman, Peter J M van Haastert, Steven D Webb, John A Mackenzie, Robert H Insall

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A Simple Mathematical Model to Predict the Pressure Drop for Transport of Deformable Particles in Homogeneous Porous Media by Víctor Matías-Pérez, Simón López-Ramírez, Elizbeth Franco-Urresti, Carlos G. Aguilar-Madera

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506 Evaluating prediction models for conversion of clinically isolated syndrome to multiple sclerosis: A systematic review by Mei-An Nolan, Danielle Howard, James Beck

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Prediction models for Mtb infection among adolescent and adult household contacts in high tuberculosis incidence settings. by Edson Tawanda Marambire, Claire J Calderwood, Leyla Larsson, Kathrin Held, Palwasha Khan, Denise Banze, Celina Nhamuave, Lillian T Minja, Alfred Mfinanga, Rishi K Gupta, Celso Khosa, Junior Mutsvangwa, Norbert Heinrich, Katharina Kranzer

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A Multidimensional Parameter Dynamic Evolution-Based Airdrop Target Prediction Method Driven by Multiple Models by Xuesong Wang, Jiapeng Yin, Jianbing Li, Yongzhen Li

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Attention mechanism based CNN-LSTM hybrid deep learning model for atmospheric ozone concentration prediction by Jiang Yuan, Hua Dengxin, Wang Yufeng, Yang Xueting, Di Huige, Yan Qing

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Establishment of two pathomic-based machine learning models to predict CLCA1 expression in colon adenocarcinoma. by Caiyun Yao, Maotong Hu, Lingxia Zhou, Hui Chen, Yang Cao

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A Double-Layer LSTM Model Based on Driving Style and Adaptive Grid for Intention-Trajectory Prediction by Yikun Fan, Wei Zhang, Wenting Zhang, Dejin Zhang, Li He

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Integration of a hybrid vibration prediction model for railways into noise mapping software: methodology, assumptions and demonstration by Pieter Reumers, Geert Degrande, Geert Lombaert, David J. Thompson, Evangelos Ntotsios, Pascal Bouvet, Brice Nélain, Andreas Nuber

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A versatile CRISPR/Cas9 system off-target prediction tool using language model by Weian Du, Liang Zhao, Kaichuan Diao, Yangyang Zheng, Qianyong Yang, Zhenzhen Zhu, Xiangxing Zhu, Dongsheng Tang

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Optimized Machine Learning Models for Enhanced Stock Market Predictions: A Case Study on the SSE Index by Vahid Babazadeh, Ahmad Faramarzi, Ali Rahnamaei

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Introducing artificial intelligence and sperm epigenetics in the fertility clinic: a novel foundation for diagnostics and prediction modelling by Adelheid Soubry

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Global lightning-ignited wildfires prediction and climate change projections based on explainable machine learning models by Assaf Shmuel, Teddy Lazebnik, Oren Glickman, Eyal Heifetz, Colin Price

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Development and Validation of a Clinical Prediction Model for Stages of Acute Kidney Injury in Critically Ill Patients by Nam Nguyen-Hoang, Wenbo Zhang, Jacqueline Koeze, Harold Snieder, Eric Keus, Gerton Lunter

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Predicting Kinematic Viscosity and Cetane Number of Diesel- Biodiesel Blend Using Neural Network and Empirical Models by M. yari, Gh. Moradi, M. Abdolmaleki, Sh. Bashiri

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Multi-state model for predicting ocular progression in acute Stevens-Johnson syndrome/toxic epidermal necrolysis. by Fumie Kinoshita, Isao Yokota, Hiroki Mieno, Mayumi Ueta, John Bush, Shigeru Kinoshita, Hirohiko Sueki, Hideo Asada, Eishin Morita, Masanori Fukushima, Chie Sotozono, Satoshi Teramukai, Japanese Research Committee on Severe Cutaneous Adverse Reaction

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New QSAR Models to Predict Human Transthyretin Disruption by Per- and Polyfluoroalkyl Substances (PFAS): Development and Application by Marco Evangelista, Nicola Chirico, Ester Papa

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