Personalized Course Recommendation System: A Multi-Model Machine Learning Framework for Academic Success by Md Sajid Islam, A. S. M. Sanwar Hosen

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Integrating multi-model frameworks to unravel the spatiotemporal dynamics of flash floods in the Tianshan Mountain, China by Biao Zhang, Haiyan Fang, Guotao Zhang, Songqing Li, Shufang Wu, Kadambot H.M. Siddique

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Multi-model learning for vessel ETA prediction in inland waterways using multi-attribute data by Abdullah Al Noman, Anton Zitnikov, Aaron Heuermann, Klaus-Dieter Thoben

“…Existing ETA prediction models largely rely on Automatic Identification System (AIS) data but often overlook additional factors. This study introduces a deep learning-based Multi-Model learning approach that fuses multi-attribute data from multiple sources to enhance ETA prediction accuracy. …”
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TAL-SRX: an intelligent typing evaluation method for KASP primers based on multi-model fusion by Xiaojing Chen, Xiaojing Chen, Jingchao Fan, Jingchao Fan, Shen Yan, Longyu Huang, Longyu Huang, Longyu Huang, Guomin Zhou, Guomin Zhou, Jianhua Zhang, Jianhua Zhang

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Fault prediction method of large forging press based on a multi scale and multi model integrated method by Chao Yuan, Tianmin Zhang, Yuxi Tang, Huize Li, Hao Zhang, Yunhan Ling, Nan Zhang, Lidong Pan, Yeyingnan Cao, Yiqing Shi

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A multi-model approach integrating whole-slide imaging and clinicopathologic features to predict breast cancer recurrence risk by Manu Goyal, Jonathan D. Marotti, Adrienne A. Workman, Graham M. Tooker, Seth K. Ramin, Elaine P. Kuhn, Mary D. Chamberlin, Roberta M. diFlorio-Alexander, Saeed Hassanpour

“…The aim of this study was to develop a multi-model approach integrating the analysis of whole-slide images and clinicopathologic data to predict their associated breast cancer recurrence risks and categorize these patients into two risk groups according to the predicted score: low-risk and high-risk. …”
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Multi-model MCDM framework for sustainable renewable energy selection in India: integrating CRITIC-EDAS-CODAS-CoCoSo by Shankha Shubhra Goswami, T. Tapankumar, N. Channa Keshava Naik, J. Gowrishankar, Nilesh Bhosle, Amrita Singh, G. Sanyasi Raju, D. Nagesh, A. Johnson Santhosh

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Dynamic Multi-Model Container Framework for Cloud-Based Distributed Digital Twins (dDTws) by Nidhal Al-Sadoon, Raimar J. Scherer, Christoph F. Strnadl

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Research on load frequency control system attack detection method based on multi-model fusion by Feng Zheng, Weixun Li, Huifeng Li, Libo Yang, Zengjie Sun

“…A multi-model fusion attack detection framework is proposed, integrating (Long Short-Term Memory) LSTM supervised learning and autoencoder unsupervised learning algorithms, with an adaptive weight adjustment mechanism that dynamically optimizes detection strategies. …”
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Smart Grain Storage Solution: Integrated Deep Learning Framework for Grain Storage Monitoring and Risk Alert by Xinze Li, Wenfu Wu, Hongpeng Guo, Yunshandan Wu, Shuyao Li, Wenyue Wang, Yanhui Lu

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Seamless Weather Data Integration in Trajectory-Based Operations Utilizing Geospatial Information by Sang-Il Kim, Donghyun Jin, Jiyeon Kim, Do-Seob Ahn, Kyung-Soo Han

“…We constructed a distributed processing system using Apache Spark, enabling the efficient processing of large-scale weather data. The performance evaluation demonstrated excellent scalability and efficiency in processing large-scale data. …”
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The enhanced integration of proven techniques to quantify the uncertainty of forecasting extreme flood events based on numerical weather prediction models by Mitra Tanhapour, Jaber Soltani, Hadi Shakibian, Bahram Malekmohammadi, Kamila Hlavcova, Silvia Kohnova, Peter Valent

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Engineering a multi model fallback system for edge devices by Gaurav Kadve, Abishi Chowdhury, Vishal Krishna Singh, Amrit Pal

“…This paper presents a novel multi-model fallback system designed for deployment on resource-constrained edge devices, leveraging the advancements of TinyML. …”
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Regional Ecological Environment Quality Prediction Based on Multi-Model Fusion by Yiquan Song, Zhengwei Li, Baoquan Wei

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Reinforcement learning-based multi-model ensemble for ocean waves forecasting by Weinan Huang, Xiangrong Wu, Xiangrong Wu, Haofeng Xia, Haofeng Xia, Haofeng Xia, Xiaowen Zhu, Yijie Gong, Xuehai Sun

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Bankruptcy Prediction Using First-Order Autonomous Learning Multi-Model Classifier by Amine Sabek, Jakub Horák, Hussam Musa, Amélia Ferreira da Silva

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A Multi-Model Ontological System for Intelligent Assistance in Laser Additive Processes by Valeriya Gribova, Yury Kulchin, Alexander Nikitin, Pavel Nikiforov, Artem Basakin, Ekaterina Kudriashova, Vadim Timchenko, Ivan Zhevtun

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Solar radiation prediction: A multi-model machine learning and deep learning approach by C Vanlalchhuanawmi, Subhasish Deb, Md. Minarul Islam, Taha Selim Ustun

“…A new hybrid approach GBR-RNN model was developed, achieving superior performance in terms of RMSE, MAE, and R2 metrics. This multi-model approach, integrating both ML and DL techniques, enhances solar irradiance forecasting by addressing input uncertainty and considering various forecast horizons. …”
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Antifungal efficacy of thyme essential oil: a multi-model approach to growth inhibition by Ricardo H. Hernández-Figueroa, Emma Mani-López, Aurelio López-Malo, Enrique Palou, Teresa Soledad Cid-Pérez, Guadalupe Virginia Nevárez-Moorillón, Raúl Avila-Sosa

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Integrating Learning-Driven Model Behavior and Data Representation for Enhanced Remaining Useful Life Prediction in Rotating Machinery by Tarek Berghout, Eric Bechhoefer, Faycal Djeffal, Wei Hong Lim

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