SYNTHESIS OF ECONOMETRIC AND NEURAL NETWORK MODELS FOR INDICATORS PREDICTION IN RESEARCH AND INNOVATION IN THE RUSSIAN FEDERATION by I. Kolmakov, M. Domozhakov

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Research on building energy consumption prediction algorithm based on customized deep learning model by Zheng Liang, Junjie Chen

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Research on the prediction model of UV spectral water quality parameters based on INFO-LSSVM by Li Chao, Li Wen, Luo Xueke, Yu Zhuofan, Han Yakai, Yu Facheng

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A prediction model for soil heavy metal content based on improved tensor completion by Zhangang Wang, Wenjie Li, Tianhe Yun, Jiaxiang Qi

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Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization by Jia-Chi Jiang, Nien-Hsun Li, Mo Chen, Kuan-Chung Chen, Chih-Hua Chang

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A machine learning model for hub-height short-term wind speed prediction by Zongwei Zhang, Lianlei Lin, Sheng Gao, Junkai Wang, Hanqing Zhao, Hangyi Yu

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Leveraging pretrained deep protein language model to predict peptide collision cross section by Ayano Nakai-Kasai, Kosuke Ogata, Yasushi Ishihama, Toshiyuki Tanaka

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DINOV2-FCS: a model for fruit leaf disease classification and severity prediction by Chunhui Bai, Chunhui Bai, Chunhui Bai, Lilian Zhang, Lilian Zhang, Lilian Zhang, Lutao Gao, Lutao Gao, Lutao Gao, Lin Peng, Lin Peng, Lin Peng, Peishan Li, Peishan Li, Peishan Li, Linnan Yang, Linnan Yang, Linnan Yang

“…However, the current prediction of disease degree by machine learning methods still faces challenges, including suboptimal accuracy and limited generalizability.MethodsIn light of the growing application of large model technology across a range of fields, this study draws upon the DINOV2 visual large vision model backbone network to construct the DINOV2-Fruit Leaf Classification and Segmentation Model (DINOV2-FCS), a model designed for the classification and severity prediction of diverse fruit leaf diseases. …”
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Multi-task aquatic toxicity prediction model based on multi-level features fusion by Xin Yang, Jianqiang Sun, Bingyu Jin, Yuer Lu, Jinyan Cheng, Jiaju Jiang, Qi Zhao, Jianwei Shuai

“…Objectives: This article presents ATFPGT-multi, an advanced multi-task deep neural network prediction model for organic toxicity. Methods: The model integrates molecular fingerprints and molecule graphs to characterize molecules, enabling the simultaneous prediction of acute toxicity for the same organic compound across four distinct fish species. …”
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A Comparative Study of Drug Prediction Models using KNN, SVM, and Random Forest by Susi Eva Maria Purba

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Predicting young Chinese consumers' intentions to purchase Western brands: Structural model analysis. by Fei Long, Miraj Ahmed Bhuiyan, Norzalita Abd Aziz, Muhammad Khalilur Rahman

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Deep learning models to predict CO2 solubility in imidazolium-based ionic liquids by Amir Hossein Sheikhshoaei, Ali Sanati, Ali Khoshsima

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NOx Emission Prediction of Waste Gas Based on the Grey Self-memory Bernoulli Model by GUO Xiaojun; ZHANG Rui; SHEN Houxue; YOU Dan

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Ascites complications risk factors of decompensated cirrhosis patients: logistic regression and prediction model by Xiaolong Zheng, Wei Wei

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Monitoring and predicting cotton leaf diseases using deep learning approaches and mathematical models by Abdul Rehman, Nadeem Akhtar, Omar H. Alhazmi

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WoFSCast: A Machine Learning Model for Predicting Thunderstorms at Watch‐to‐Warning Scales by Montgomery L. Flora, Corey Potvin

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Prediction of virus-host associations using protein language models and multiple instance learning. by Dan Liu, Francesca Young, Kieran D Lamb, David L Robertson, Ke Yuan

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Optimal fiber mix and prediction model for compressive strength of hybrid fiber reinforced concrete. by Ping Gao, Weihong Xie, Yongqiang Ling, Hongfa Xu

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A deep learning based prediction model for effective elastic properties of porous materials by Chang Liu, Ran Guo, Yangming Su

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Genome‐scale models of metabolism and gene expression extend and refine growth phenotype prediction by Edward J O'Brien, Joshua A Lerman, Roger L Chang, Daniel R Hyduke, Bernhard Ø Palsson

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