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Leakage-safe benchmarking of conventional chemometric and deep learning models for food NIR spectroscopy regression
作者Hacer Akpolat; Mehmet Zahid Akpolat
作者单位Department of Food Engineering, Bayburt University, Bayburt, 69000, Turkey; Department of Computer Engineering, Ankara Yildirim Beyazit University, Ankara, 06010, Turkey
A comparative evaluation of deep learning and traditional clustering methods for automated point-of-care urinalysis
作者Prachi Bhoir; Jagannath Nirmal; Ninad Mehendale
作者单位Department of Electronics Engineering, K. J. Somaiya School of Engineering (Formerly known as K. J. Somaiya College of Engineering), Somaiya Vidyavihar University, Mumbai, 400077, Maharashtra, India
CLKAN-DBPred: Leveraging pre-trained protein language models with convolutional layer Kolmogorov-Arnold Network for predicting DNA-binding proteins
作者Kamran Arshad; Muhammad Arif; Dong-Jun Yu
作者单位School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China; College of Science and Engineering, Hamad Bin Khalifa University, Doha, 34110, Qatar
Scale analysis method coupled with a salp swarm algorithm to study the heat transfer rate of liquid metal nanofluids
作者Ahmed Mahmoudi
作者单位Laboratory of Energy and Heat and Mass Transfers, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunisia; Faculty of Sciences of Bizerte, University of Carthage, Tunisia
An interpretable knowledge-enhanced soft sensor framework for basic oxygen furnace endpoint prediction via LLM-driven feature engineering and SHAP-based threshold analysis
作者Junqiang Liu; Anjiang Cai; Haitao Zhang; Yongwu Zhang; Qiusheng Pang
作者单位School of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi, 710055, China; Xi'an Electric Furnace Research Institute Co., Ltd., Xi'an, Shaanxi, 710065, China; Shaanxi Provincial Four-Entity-Joint Electric Furnace Engineering Technology Research Center, Xi'an, Shaanxi, 710065, China; Shandong Provincial Engineering Research Center for Intelligent Equipment of Prefabricated Building, Dezhou, Shandong, 253000, China; Dezhou Haitian Electromechanical Technology Co., Ltd., Dezhou, Shandong, 253000, China
Successive monitoring task oriented layerwise feature distillation dictionary learning with applications to multimodal industrial processes
作者Xue Xu; Shuang Ji; Chaomin Luo; Yuanjian Fu
作者单位The Tianjin Key Laboratory of Intelligent Control of Electrical Equipment and with the School of Artificial Intelligence, Tiangong University, Tianjin, 300387, China; The Tianjin Key Laboratory of Intelligent Control of Electrical Equipment and with the School of Control Science and Engineering, Tiangong University, Tianjin, 300387, China; The Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, 39762, USA
Multimodal data fusion and multi-objective optimized CatBoost models for origin traceability and active compound prediction of Salvia miltiorrhiza
作者Jia Qiao; Rao Fu; Yue-e Li; Xin Wan; Qiang Guo; Ming-xuan Li; Yang-yang Zheng; Ying-ying Zhang; Yu-jia Xu; Zhao Fu; Chun-qin Mao; De Ji; Jing Mao; Tu-lin Lu
作者单位College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China; College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
Knowledge distillation for near-infrared quantification of ternary starch mixtures
作者Hanchen Zhang; Mingyue Huang; Xuanchen Liu; Yufan Qi; Liteng Qie; Bin Wang; Xiaoxuan Xu; Jing Xu
作者单位College of Artificial Intelligence, Nankai University, Tianjin, 300350, China; College of Electronic Information and Optical Engineering, Nankai University, Tianjin, 300350, China; Yunnan Research Institute, Nankai University, Kunming, 650091, China
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