Search Results - "Machine learning Models"

Comparison of machine learning models for coronavirus prediction by B. K. Amos, I. V. Smirnov, M. M. Hermann

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Determinants Factors in Predicting Life Expectancy Using Machine Learning by B. Kouame Amos, I. V. Smirnov

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Integrated Machine Learning Models for Bakery Product Defect Prediction by Nataliia Zaiets, Nataliia Lutska, Lidiia Vlasenko

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Navigating Samarinda's climate: A comparative analysis of rainfall forecasting models by Mislan, Andrea Tri Rian Dani

Subjects: “…Traditional and Machine Learning Models in Forecasting: Exponential Smoothing, ARIMA, NN…”
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Application Of Machine Learning Models To Predict Warping Of Plastic Automotive Parts by Evandro Menezes de Souza Amarante, João Paulo Rios Brandão de Oliveira, Pedro Guilherme Carvalho de Souza Marconi, Armando Sá Ribeiro Júnior

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Hybrid Machine Learning Models for Predicting the Impact of Light Wavelengths on Algal Growth in Freshwater Ecosystems by Himaranga Sumanasekara, Harshi Jayasingha, Gayan Amarasooriya, Narada Dayarathne, Bandita Mainali, Lalantha Senevirathna, Ashoka Gamage, Othmane Merah

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Unravelling mystery of lake color changes on the Tibetan Plateau: From mechanisms to prediction by Songhua Huan, Chiwei Xiao, Zhiming Feng

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Assessing marine ecosystem risks through unsupervised methods by Laura Pavirani, Pasquale Bove, Gianpaolo Coro

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Analysis of Challenges and Strategies to Develop More Effective Early Warning System of Bank Bankruptcy by Hojatolah Keshavarz Hadadha, Hamidreza Alipour, Sina Kheradyar

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Development and performance of female breast cancer incidence risk prediction models: a systematic review and meta-analysis by Liyuan Liu, Peng Zhou, Lijuan Hou, Chunyu Kao, Ziyu Zhang, Di Wang, Lixiang Yu, Fei Wang, Yongjiu Wang, Zhigang Yu

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Predicting plant uptake of potential contaminants of emerging concerns using machine learning models (2018–2025): A global review by Alexis Munyengabe, Maria Fezile Banda, Wilma Augustyn

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A Study on the Susceptibility of Wildfire Disasters in Wuzhou City Based on Interpretability Model by Lei Zou, Hongjuan Shao, Yintao Liu, Chao Ren, Qinyi Chen, Haoming Bai, Zhengzhong Huang, Yao Gu

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Real Estate Market Forecasting for Enterprises in First-Tier Cities: Based on Explainable Machine Learning Models by Dechun Song, Guohui Hu, Hanxi Li, Hong Zhao, Zongshui Wang, Yang Liu

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Developing a Hybrid Model to Enhance the Robustness of Interpretability for Landslide Susceptibility Assessment by Xiao Yan, Dongshui Zhang, Yongshun Han, Tongsheng Li, Pin Zhong, Zhe Ning, Shirou Tan

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Exploring the complex interplay between oral Fusobacterium nucleatum infection, periodontitis, and robust microRNA induction, including multiple known oncogenic miRNAs by Syam Jeepipalli, Aravindraja C, William Duncan, V. M. Krishna, Bikash Sahay, Edward K. L. Chan, L. Kesavalu

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Enhanced machine learning model for classification of the impact of technostress in the COVID and post-COVID era by Gabriel James, Anietie Ekong, Aloysius Akpanobong, Enefiok Etuk, Saviour Inyang, Samuel Oyong, Ifeoma Ohaeri, Chikodili Orazulume, Peace Okafor

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Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning by Qianli Si, Shoichi Matsuda, Yasunobu Ando, Toshiyuki Momma, Yoshitaka Tateyama

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Forest Fire Risk Prediction in South Korea Using Google Earth Engine: Comparison of Machine Learning Models by Jukyeong Choi, Youngjo Yun, Heemun Chae

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Integrating environmental clustering to enhance epidemic forecasting with machine learning models by Yosra Didi, Ahlam Walha, Ali Wali

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Biophysical and computational insights from modeling human cortical pyramidal neurons by Sapir Shapira, Ido Aizenbud, Daniela Yoeli, Yoni Leibner, Huibert D. Mansvelder, Christiaan P. J. de Kock, Michael London, Michael London, Idan Segev, Idan Segev

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