Optimizing Traffic Speed Prediction Using a Multi-Objective Genetic Algorithm-Enhanced RNN for Intelligent Transportation Systems by C. Swetha Priya, F. Sagayaraj Francis

Subjects: “…Deep learning models…”
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Development of data driven machine learning models for the prediction and design of pyrimidine corrosion inhibitors by Aeshah H. Alamri, N. Alhazmi

Subjects: “…Machine Learning models…”
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AAGP integrates physicochemical and compositional features for machine learning-based prediction of anti-aging peptides by Saptashwa Datta, Jen-Chieh Yu, Yi-Hsiang Lin, Yun-Chen Cheng, Ching-Tai Chen

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Discovery of plasma proteins and metabolites associated with left ventricular cardiac dysfunction in pan-cancer patients by Jessica C. Lal, Michelle Z. Fang, Muzna Hussain, Abel Abraham, Reina Tonegawa-Kuji, Yuan Hou, Mina K. Chung, Patrick Collier, Feixiong Cheng

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Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability by Yan Jiang, Hong-wei Wang, Fang-ying Tian, Yue Guo, Xiu-mei Wang

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COVID-19 risk stratification among older adults: a machine learning approach to identify personal and health-related risk factors by Arezoo Abasi, Seyed Abbas Motevalian, Haleh Ayatollahi

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Okra disease dataset for classification and segmentation: Dataset collection, analysis and applicationsMendeley DataMendeley Data by K. Sowmiya, M. Thenmozhi

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Study on the prediction performance of AIDS monthly incidence in Xinjiang based on time series and deep learning models by Dandan Tang, Yuanyuan Jin, XuanJie Hu, Dandan Lin, Abiden Kapar, YanJie wang, Fang Yang, Huling Li

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Unveiling Urban Flood Vulnerability: A Machine Learning Approach for Mapping High Risk Zones in Tetouan City, Northern Morocco by Oussama Mekkaoui, Moad Morarech, Tarik Bouramtane, Laurent Barbiero, Maryem Hamidi, Hamza Akka, Rania Prya Muthusamy Rengasamy

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Deep learning models for enhanced in-field maize leaf disease diagnosis by Joyce Nakatumba-Nabende, Sudi Murindanyi

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Machine learning analysis of factors affecting college students’ academic performance by Jingzhao Lu, Yaju Liu, Shuo Liu, Zhuo Yan, Xiaoyu Zhao, Yi Zhang, Chongran Yang, Haoxin Zhang, Wei Su, Peihong Zhao

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Towards a greener future: The role of sustainable methodologies in metabolomics research by Chiara Spaggiari, Kgalaletso Othibeng, Fidele Tugizimana, Gabriele Rocchetti, Laura Righetti

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Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus by Shuo Ma, Yaya Chen, Zhexi Gu, Jiwei Wang, Fengfeng Zhao, Yuming Yao, Gulinaizhaer Abudushalamu, Shijie Cai, Xiaobo Fan, Miao Miao, Xun Gao, Chen Zhang, Guoqiu Wu

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Growth Stages Discrimination of Multi-Cultivar Navel Oranges Using the Fusion of Near-Infrared Hyperspectral Imaging and Machine Vision with Deep Learning by Chunyan Zhao, Zhong Ren, Yue Li, Jia Zhang, Weinan Shi

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Combining the Pre-Trained Model Roberta with a Two-Layer Bidirectional Long- and Short-Term Memory Network and a Multi-Head Attention Mechanism for a Rice Phenomics Entity Classifi... by Dayu Xu, Xinyu Zhu, Xuyao Zhang, Fang Xia

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Racial and socioeconomic disparities in long term survival after surgery and radiation for spinal cord hemangioblastoma by Abdul Karim Ghaith, Xinlan Yang, Joshua Weinberg, Shaan Bhandarkar, Taha Khalilullah, Abdel-Hameed Al-Mistarehi, Khaled Zaitoun, Meghana Bhimreddy, Arjun K. Menta, Antony Fuleihan, Kamel Chebaro, Jawad Khalifeh, Andrew Grossbach, Nicholas Theodore, Daniel Lubelski

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A comparative study on different machine learning approaches with periodic items for the forecasting of GPS satellites clock bias by Longjiang Song, Jiahao Liu, Leilei Wang, Ziyi Wang, Yibo Yuan

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Predictive biomarkers and molecular subtypes in DLBCL: insights from PCD gene expression and machine learning by Tiantian He, Jie Geng, Chuandong Hou, Hongyi Li, Hong Zhang, Peng Zhao, Peifeng He, Xuechun Lu

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Limitations of panoramic radiographs in predicting mandibular wisdom tooth extraction and the potential of deep learning models to overcome them by Atsushi Danjo, Chiaki Kuwada, Reona Aijima, Asana Kamohara, Motoki Fukuda, Yoshiko Ariji, Eiichiro Ariji, Yoshio Yamashita

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A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs by Ping Wang, Hao-Cyuan Li, Hsiao-Chung Lin, Wen-Hui Lin, Nian-Zu Xie

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