Short-term prediction of regional energy consumption by metaheuristic optimized deep learning models by Ngoc-Quang Nguyen, Phuong-Thao-Nguyen Nguyen, Quynh-Chau Truong

Get full text

A machine learning model for predicting severity-adjusted in-hospital mortality in pneumonia patients by Jong-Ho Park, Jihye Lim

Get full text

Prediction of atrial fibrillation in patients with coronary artery disease using mathematical modeling methods by S. V. Kuzin, N. G. Lozhkina, E. I. Shefer, P. S. Ruzankin

Get full text

Dynamic flood risk prediction in Houston: a multi-model machine learning approach by Shuchi Mishra, Aproorv Bajpai, Agradeep Mohanta, Biplab Banerjee, Shrishti Rajput, Sudipta Kundu

Get full text

High entropy alloy property predictions using a transformer-based language model by Spyros Kamnis, Konstantinos Delibasis

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

A Comparative Study of Drug Prediction Models using KNN, SVM, and Random Forest by Susi Eva Maria Purba

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text