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Predicting synthetic mRNA stability using massively parallel kinetic measurements, biophysical modeling, and machine learning by Daniel P. Cetnar, Ayaan Hossain, Grace E. Vezeau, Howard M. Salis

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Predicting Urban Vitality at Regional Scales: A Deep Learning Approach to Modelling Population Density and Pedestrian Flows by Feifeng Jiang, Jun Ma

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Public Opinion Propagation Prediction Model Based on Dynamic Time-Weighted Rényi Entropy and Graph Neural Network by Qiujuan Tong, Xiaolong Xu, Jianke Zhang, Huawei Xu

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Comparative Analysis of Machine Learning and Deep Learning Models for Lung Cancer Prediction Based on Symptomatic and Lifestyle Features by Bireswar Dutta

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Comparative Analysis of Hybrid Model Performance Using Stacking and Blending Techniques for Student Drop Out Prediction In MOOC by Muhammad Ricky Perdana Putra, Ema Utami

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In Silico Models of Biological Activities of Peptides Using the Coefficient of Conformism of a Correlative Prediction and the Las Vegas Algorithm by Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, Emilio Benfenati

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Distributed cross-learning for equitable federated models - privacy-preserving prediction on data from five California hospitals by Tsung-Ting Kuo, Rodney A. Gabriel, Jejo Koola, Robert T. Schooley, Lucila Ohno-Machado

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Speech prediction of a listener via EEG-based classification through subject-independent phase dissimilarity model by Alireza Malekmohammadi, Josef P. Rauschecker, Gordon Cheng

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Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology by Yaxuan Wang, Haixia Zhu, Jianlan Ren, Minghua Ren

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A Study Investigating Interpretable Deep Learning Models for Predicting Mortality and Survival in Patients with Primary Thyroid Lymphomas by Zihan Yu, Rong Hu, Jiaqing Chen

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Sensitivity Analysis of Long Short-Term Memory-Based Neural Network Model for Vehicle Yaw Rate Prediction by János Kontos, László Bódis, Ágnes Vathy-Fogarassy

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A combined model for short-term traffic flow prediction based on variational modal decomposition and deep learning by Chuanxiang Ren, Fangfang Fu, Changchang Yin, Li Lu, Lin Cheng

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Advancing Compressive Strength Prediction in Self-Compacting Concrete via Soft Computing: A Robust Modeling Approach by Ali Ghorbani, Hamidreza Maleki, Hosein Naderpour, Seyed Mohammad Hossein Khatami

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Seasonal predictability of tropical cyclone frequency over the western North Pacific by a large-ensemble climate model by Takeshi Doi, Tadao Inoue, Tomomichi Ogata, Masami Nonaka

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Presenting the AI models in predicting the settlement of earth dams using the results of spatiotemporal clustering and k-means algorithm by Behrang Beiranvand, Taher Rajaee, Mehdi Komasi

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Predicting mass transfer activation energy and physicochemical properties of dried onion using numerical modeling and artificial intelligence by Fangfang Liu, Hany S. El-Mesery, Ahmed H. ElMesiry, Zicheng Hu, Ali Salem

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Wind Power Short-Term Prediction Method Based on Time-Domain Dual-Channel Adaptive Learning Model by Haotian Guo, Keng-Weng Lao, Junkun Hao, Xiaorui Hu

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Enhanced Mamba model with multi-head attention mechanism and learnable scaling parameters for remaining useful life prediction by Fugang Liu, Shenyang Liu, Yuan Chai, Yongtao Zhu

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Benchmarking histopathology foundation models for ovarian cancer bevacizumab treatment response prediction from whole slide images by Mayur Mallya, Ali Khajegili Mirabadi, David Farnell, Hossein Farahani, Ali Bashashati

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