DGCA3QM: DESIGN OF A DUAL GENETIC ALGORITHM BASED AUTOREGRESSION MODEL FOR CORRELATIVE PREDICTION OF AIR QUALITY METRICS by Harna M. Bodele, G. M. Asutkar, Kiran G. Asutkar

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Multi-S3P: Protein Secondary Structure Prediction With Specialized Multi-Network and Self-Attention-Based Deep Learning Model by M. M. Mohamed Mufassirin, M. A. Hakim Newton, Julia Rahman, Abdul Sattar

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Deep-Learning-Based AI-Model for Predicting Dental Plaque in the Young Permanent Teeth of Children Aged 8–13 Years by Banu Çiçek Tez, Yasin Güzel, Bahar Başak Kızıltan Eliaçık, Zafer Aydın

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Enhancing Short-Term Wind Speed Prediction Based on Deep Learning With Ensemble Learning Model for Small Wind Turbine Applications by J. Sathyaraj, V. Sankardoss

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A mathematical model that predicts human biological age from physiological traits identifies environmental and genetic factors that influence aging by Sergiy Libert, Alex Chekholko, Cynthia Kenyon

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ContrastLOS: A Graph-Based Deep Learning Model With Contrastive Pre-Training for Improved ICU Length-of-Stay Prediction by Guangrui Fan, Aixiang Liu, Chao Zhang

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Design of a regression model to predict the presence of depression during pregnancy based on emotional intelligence, parental care, anxiety and stress by Sandro Giovanazzi, Aquiles Pérez

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A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

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A deep learning model based on chest CT to predict benign and malignant breast masses and axillary lymph node metastasis by Jingxiang Sun, Xiaoming Xi, Mengying Wang, Menghan Liu, Xiaodong Zhang, Haiyan Qiu, Youxin Zhang, Taian Fu, Yanan Du, Wanqing Ren, Dawei Wang, Guang Zhang

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Small Sample-Oriented Prediction Method of Mechanical Properties for Hot Rolled Strip Steel Based on Model Independent Element Learning by Hongyi Wu, Borui Zhang, Zhiwei Li

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Prediction and Optimization for Multi-Product Marketing Resource Allocation in Cross-Border E-Commerce by Yi Xie, Heng-Qing Ye, Wenbin Zhu

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Assessment and Dynamic Prediction of Green Space Ecological Service Value in Guangzhou City, China by Zhefan Li, Zhaokang Zhou, Zhenhua Liu, Jiahe Si, Jiaming Ou

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Soil degradation risk prediction in an arid region (Northern Tataouine, Tunisia): using an empirical model coupling with remote sensing and GIS by Amal Gammoudi, Hanen Guesmi, Ahmed Tebini, Rafla Attia, Thouraya Sahli Chahed, Hosni Trabelsi

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A Novel Approach to the Prediction of Alzheimer’s Disease Progression by Leveraging Neural Processes and a Transformer Encoder Model by Emad Al-Anbari, Hossein Karshenas, Bijan Shoushtarian

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Authors’ Response to Peer Reviews of “Predicting Escalation of Care for Childhood Pneumonia Using Machine Learning: Retrospective Analysis and Model Development” by Oguzhan Serin, Izzet Turkalp Akbasli, Sena Bocutcu Cetin, Busra Koseoglu, Ahmet Fatih Deveci, Muhsin Zahid Ugur, Yasemin Ozsurekci

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Machine learning models for predicting metabolic dysfunction-associated steatotic liver disease prevalence using basic demographic and clinical characteristics by Gangfeng Zhu, Yipeng Song, Zenghong Lu, Qiang Yi, Rui Xu, Yi Xie, Shi Geng, Na Yang, Liangjian Zheng, Xiaofei Feng, Rui Zhu, Xiangcai Wang, Li Huang, Yi Xiang

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LightRoseTTA: High‐Efficient and Accurate Protein Structure Prediction Using a Light‐Weight Deep Graph Model by Xudong Wang, Tong Zhang, Guangbu Liu, Zhen Cui, Zhiyong Zeng, Cheng Long, Wenming Zheng, Jian Yang

“…The code and model are released to speed biological research (https://github.com/psp3dcg/LightRoseTTA).…”
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ANALYSIS OF THE DYNAMICS OF AGGREGATIVE TRANSFER FACTORS OF CESIUM-137 TO MUSHROOMS AFTER THE CHERNOBYL ACCIDENT AS A BASIS FOR CONSTRUCTION PREDICTIVE MODELS by K. V. Shilova

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Exploring user acceptance and satisfaction with the Academic Collection of Comprehensive Educational Studies System (ACCESS): A state university experience by Jereme B. Belza, Abegail B. Cahigao, Julius James Luzada, Maria Lourdes D. Paragas, Emmanuel A. Onsay

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HepatoToxicity Portal (HTP): an integrated database of drug-induced hepatotoxicity knowledgebase and graph neural network-based prediction model by Jiyeon Han, Wonho Zhung, Insoo Jang, Joongwon Lee, Min Ji Kang, Timothy Dain Lee, Seung Jun Kwack, Kyu-Bong Kim, Daehee Hwang, Byungwook Lee, Hyung Sik Kim, Woo Youn Kim, Sanghyuk Lee

“…Our model demonstrated excellent performance, achieving an area under the ROC curve (AUROC) of 0.761, surpassing existing methods for hepatotoxicity prediction. …”
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