Search Results - "machines"

Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods

DOAB: download the publication
DOAB: description of the publication

Next Generation Internet of Things - Distributed Intelligence at the Edge and Human-Machine Interactions

DOAB: download the publication
DOAB: description of the publication

Micro-Electro Discharge Machining: Principles, Recent Advancements and Applications, Volume II

Subjects: “…electrical discharge machining…”
DOAB: download the publication
DOAB: description of the publication

Machine learning early prediction of respiratory syncytial virus in pediatric hospitalized patients by Chak Foon Tso, Carson Lam, Jacob Calvert, Qingqing Mao, Qingqing Mao

Connect to this object online.

A Machine Learning Perspective on fNIRS Signal Quality Control Approaches by Andrea Bizzego, Michelle Neoh, Giulio Gabrieli, Gianluca Esposito

Connect to this object online.

Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions by Yu-Qing Cai, Da-Xin Gong, Li-Ying Tang, Yue Cai, Hui-Jun Li, Tian-Ci Jing, Mengchun Gong, Wei Hu, Zhen-Wei Zhang, Xingang Zhang, Guang-Wei Zhang

Connect to this object online.

Prediction of adolescent weight status by machine learning: a population-based study by Hengyan Liu, Yik-Chung Wu, Pui Hing Chau, Thomas Wai Hung Chung, Daniel Yee Tak Fong

Connect to this object online.

A machine learning approach to personalized predictors of dyslipidemia: a cohort study by Guadalupe Gutiérrez-Esparza, Guadalupe Gutiérrez-Esparza, Tomas Pulido, Mireya Martínez-García, Tania Ramírez-delReal, Tania Ramírez-delReal, Lucero E. Groves-Miralrio, Manlio F. Márquez-Murillo, Luis M. Amezcua-Guerra, Gilberto Vargas-Alarcón, Enrique Hernández-Lemus, Enrique Hernández-Lemus

Connect to this object online.

Machine learning approaches to predict the match result: Brazilian futsal league case by Denio Duarte, Jefferson Alexandre Coppini

Connect to this object online.

Machine learning predicts the prognosis of breast cancer patients with initial bone metastases by Chaofan Li, Mengjie Liu, Jia Li, Weiwei Wang, Cong Feng, Yifan Cai, Fei Wu, Xixi Zhao, Chong Du, Yinbin Zhang, Yusheng Wang, Shuqun Zhang, Jingkun Qu

Connect to this object online.

"Determining the efficacy of a machine learning model for measuring periodontal bone loss" by Diego Cerda Mardini, Patricio Cerda Mardini, Daniela Paz Vicuña Iturriaga, Duniel Ricardo Ortuño Borroto

Connect to this object online.

Classification Models for COVID-19 Test Prioritization in Brazil: Machine Learning Approach by Viana dos Santos Santana, Íris, CM da Silveira, Andressa, Sobrinho, Álvaro, Chaves e Silva, Lenardo, Dias da Silva, Leandro, Santos, Danilo F S, Gurjão, Edmar C, Perkusich, Angelo

Connect to this object online.

Machine learning for tumor growth inhibition: Interpretable predictive models for transparency and reproducibility by Andreas D. Meid, Alexander Gerharz, Andreas Groll

Connect to this object online.

Prediction of Lumbar Drainage-Related Meningitis Based on Supervised Machine Learning Algorithms by Peng Wang, Shuwen Cheng, Yaxin Li, Li Liu, Jia Liu, Qiang Zhao, Shuang Luo

Connect to this object online.

Using machine learning surrogate modeling for faster QSP VP cohort generation by Renée C. Myers, Florian Augustin, Jérémy Huard, Christina M. Friedrich

Connect to this object online.

Machine Learning in the Management of Lateral Skull Base Tumors: A Systematic Review by Kotaro Tsutsumi, Sina Soltanzadeh-Zarandi, Pooya Khosravi, Khodayar Goshtasbi, Hamid R. Djalilian, Mehdi Abouzari

Connect to this object online.

Predicting venous thromboembolism (VTE) risk in cancer patients using machine learning by Samir Khan Townsley, Debraj Basu, Jayneel Vora, Ted Wun, Chen‐Nee Chuah, Prabhu R. V. Shankar

Connect to this object online.

The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review by Zsombor Zrubka, Gábor Kertész, László Gulácsi, János Czere, Áron Hölgyesi, Hossein Motahari Nezhad, Amir Mosavi, Levente Kovács, Atul J Butte, Márta Péntek

Connect to this object online.

Distinguishing Molecular Properties of OAT, OATP, and MRP Drug Substrates by Machine Learning by Anisha K. Nigam, Jeremiah D. Momper, Anupam Anand Ojha, Sanjay K. Nigam

Connect to this object online.

Prediction of 5-year overall survival of tongue cancer based machine learning by Liangbo Li, Cheng Pu, Nenghao Jin, Liang Zhu, Yanchun Hu, Piero Cascone, Ye Tao, Haizhong Zhang

Connect to this object online.