Search Results - "Learning Model"

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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UNDERSTANDING EDUCATORS’ EXPERIENCE AND ATTITUDE TO GAMIFIED LEARNING APPLICATIONS by Anastasiia V. Tokarieva, Inna V. Сhyzhykova

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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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Okra disease dataset for classification and segmentation: Dataset collection, analysis and applicationsMendeley DataMendeley Data by K. Sowmiya, M. Thenmozhi

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Detection and localization of ripe tomato in greenhouse environment using Keras-based deep learning models by Md. Shahinur Alam, Md. Rostom Ali, Anisur Rahman

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Growth Stages Discrimination of Multi-Cultivar Navel Oranges Using the Fusion of Near-Infrared Hyperspectral Imaging and Machine Vision with Deep Learning by Chunyan Zhao, Zhong Ren, Yue Li, Jia Zhang, Weinan Shi

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A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs by Ping Wang, Hao-Cyuan Li, Hsiao-Chung Lin, Wen-Hui Lin, Nian-Zu Xie

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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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Formation of Individual Educational Trajectory in Adaptive Learning Management Systems by T. M. Shamsutdinova

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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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Assessing the influence of lived-experience experts on healthcare providers in a virtual community of practice: a qualitative study by Stephanie Sargent Weaver, Monique Carry, Jeanne Bertolli, Job Godino, Job Godino, Bruce Struminger, Douglas Taren, John D. Scott, Sydney P. Sharp, Jane Samaniego, Donna R. Bean, Anindita Issa, Jin-Mann S. Lin, Elizabeth R. Unger, Christian B. Ramers

Subjects: “…Extension for Community Healthcare Outcomes (ECHO) learning model…”
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急性卒中院前诊断识别研究进展(Research Progress in Prehospital Diagnosis and Identification of Acute Stroke) by 王荣，何松，岗瑞娟，王琪，唐宇杰，刘飞凤，杨杰，李刚，林亚鹏(WANG Rong, HE Song, GANG Ruijuan, WANG Qi, TANG Yujie, LIU Feifeng, YANG Jie, LI Gang, LIN Yapeng)

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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

Subjects: “…explainable machine learning models…”
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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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