Zoekresultaten - "mean squared error"

Influence of Intraoral Scanners, Operators, and Data Processing on Dimensional Accuracy of Dental Casts for Unsupervised Clinical Machine Learning: An In Vitro Comparative Study door Taseef Hasan Farook, Saif Ahmed, Jamal Giri, Farah Rashid, Toby Hughes, James Dudley

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Predicting AAK1/GAK dual-target inhibitor against SARS-CoV-2 viral entry into host cells: an in silico approach / Xavier Chee Wezen ...[et.al.] door Wezen, Xavier Chee, Clement, Sim Jun Wen, Yung Ping, Lilian Siaw, Yeong, Kah Ho, Qing, Kong Hao, Ha, Christopher, San, Hwang Siaw

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Artificial neural network modeling studies to predict the amount of carried weight by Rail Transportation System / Nur Syuhada Muhammat Pazil, Siti Nor Nadrah Muhamad & Hanis Syaza... door Muhammat Pazil, Nur Syuhada, Muhamad, Nor Nadrah, Nor Azahar, Hanis Syazana

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PREDIKSI RASIO KLIK TAYANG PADA LAYANAN IKLAN UNTUK PROMOSI PEMASARAN DENGAN MENGGUNAKAN METODE HYBRID LSTM-GRU door Wibisana Sudarto,

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Cultural adaptation to Bolivian Quechua and psychometric analysis of the Patient Health Questionnaire PHQ-9 door Juan Carlos Bazo-Alvarez, Adriana Rocío Ortiz Aparicio, Rodrigo Robles-Mariños, Félix Julca-Guerrero, Heber Gómez, Oscar Bazo-Alvarez, Julio Cjuno

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A novel comparative study of NNAR approach with linear stochastic time series models in predicting tennis player's performance door Abdullah M. Almarashi, Muhammad Daniyal, Farrukh Jamal

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Development and cross‐validation of a circumference‐based predictive equation to estimate body fat in an active population door Kathryn M. Taylor, Michael P. Castellani, P. Matthew Bartlett, Tyler. E. Oliver, Holly L. McClung

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Using meta-learning to recommend an appropriate time-series forecasting model door Nasrin Talkhi, Narges Akhavan Fatemi, Mehdi Jabbari Nooghabi, Ehsan Soltani, Azadeh Jabbari Nooghabi

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Interpretable machine learning to identify important predictors of birth weight: A prospective cohort study door Zheng Liu, Na Han, Tao Su, Yuelong Ji, Heling Bao, Shuang Zhou, Shusheng Luo, Hui Wang, Jue Liu, Hai-Jun Wang

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Predicting the Temperature Evolution during Nanomilling of Drug Suspensions via a Semi-Theoretical Lumped-Parameter Model door Gulenay Guner, Dogacan Yilmaz, Helen F. Yao, Donald J. Clancy, Ecevit Bilgili

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Forecasting Mood in Bipolar Disorder From Smartphone Self-assessments: Hierarchical Bayesian Approach door Busk, Jonas, Faurholt-Jepsen, Maria, Frost, Mads, Bardram, Jakob E, Vedel Kessing, Lars, Winther, Ole

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Deep learning-based multi-drug synergy prediction model for individually tailored anti-cancer therapies door Shengnan She, Hengwei Chen, Wei Ji, Mengqiu Sun, Jiaxi Cheng, Mengjie Rui, Chunlai Feng

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Forensic age estimation in living children: how accurate is the Greulich-Pyle method in Sabah, East Malaysia? door Khin Mya Nang, Abdul Jabbar Ismail, Anithaa Tangaperumal, Aye Aye Wynn, Tin Tin Thein, Firdaus Hayati, Yong Guang Teh

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Comparison of individual and neighbourhood socioeconomic status in case mix adjustment of hospital performance in primary total hip replacement in Sweden: a register-based study door Johan Mesterton, Carl Willers, Tobias Dahlström, Ola Rolfson

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Assessing the health estimation capacity of air pollution exposure prediction models door Jenna R. Krall, Joshua P. Keller, Roger D. Peng

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An evaluation of cervical maturity for Chinese women with labor induction by machine learning and ultrasound images door Yan-Song Liu, Shan Lu, Hong-Bo Wang, Zheng Hou, Chun-Yu Zhang, Yi-Wen Chong, Shuai Wang, Wen-Zhong Tang, Xiao-Lei Qu, Yan Zhang

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Impact of nausea/vomiting on EQ-5D-5L utility scores in patients taking iron preparations for heavy menstrual bleeding or anemia door Kyoko Ito, Yuko Mitobe, Ryo Inoue, Mikio Momoeda

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Dynamic change of COVID-19 lung infection evaluated using co-registration of serial chest CT images door Xiao Chen, Yang Zhang, Yang Zhang, Guoquan Cao, Jiahuan Zhou, Ya Lin, Boyang Chen, Ke Nie, Gangze Fu, Min-Ying Su, Min-Ying Su, Meihao Wang

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Machine learning and synthetic outcome estimation for individualised antimicrobial cessation door William J. Bolton, William J. Bolton, William J. Bolton, Timothy M. Rawson, Timothy M. Rawson, Bernard Hernandez, Bernard Hernandez, Richard Wilson, Richard Wilson, David Antcliffe, David Antcliffe, Pantelis Georgiou, Pantelis Georgiou, Alison H. Holmes, Alison H. Holmes, Alison H. Holmes

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Hybridizing five neural-metaheuristic paradigms to predict the pillar stress in bord and pillar method door Jian Zhou, Yuxin Chen, Hui Chen, Manoj Khandelwal, Masoud Monjezi, Kang Peng

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