Creation and interpretation of machine learning models for aqueous solubility prediction by Minyi Su, Enric Herrero

Subjects: Get full text

Editorial: Shaping the future of materials science through machine learning by Dezhen Xue, Turab Lookman

Get full text

Machine Learning-based Water Quality Forecasting for Shenzhen Bay by XIONG Jianzhi, XIONG Rui, LU Haiyan, ZHENG Yi

Subjects: Get full text

Machine Learning Applications based on SVM Classification A Review by Dakhaz Mustafa Abdullah, Adnan Mohsin Abdulazeez

“… Extending technologies and data development culminated in the need for quicker and more reliable processing of massive data sets. Machine Learning techniques are used excessively. This paper, therefore, attempts to deal with data processing, using a support vector machine (SVM) algorithm in different fields since it is a reliable, efficient classification method in the area of machine learning. …”
Get full text

Application,Challenges,and Prospect of Machine Learning in Dam Seepage Prediction by WANG Wei, LIAO Jielin, ZHU Shaokun

Subjects: Get full text

Design of System-of-System Acquisition Analysis Using Machine Learning by Fahad H. Alshammari

“…In the last few decades, machine learning and data analytics have been widely used in system design and acquisitions. …”
Get full text

Prediction of Rooftop Photovoltaic Solar Potential Using Machine Learning by K. Mukilan, K. Thaiyalnayaki, Yagya Dutta Dwivedi, J. Samson Isaac, Amarjeet Poonia, Arvind Sharma, Essam A. Al-Ammar, Saikh Mohammad Wabaidur, B. B. Subramanian, Adane Kassa

“…In this paper, we develop a prediction of solar potential across large photovoltaic panels from the roof tops using a machine learning method. The Restricted Boltzmann Machine (RBM) is the machine learning method used in the study to predict or forecast the solar potential in rooftops. …”
Get full text

The Use of Machine Learning Methods in Road Safety Research in Poland by Anna Borucka, Sebastian Sobczuk

Subjects: Get full text

On Internet Traffic Classification: A Two-Phased Machine Learning Approach by Taimur Bakhshi, Bogdan Ghita

“…This paper aims to overcome these challenges by proposing two-phased machine learning classification mechanism with NetFlow as input. …”
Get full text

The impact of dietary fiber on colorectal cancer patients based on machine learning by Xinwei Ji, Lixin Wang, Pengbo Luan, Jingru Liang, Weicai Cheng

Subjects: Get full text

Estimating the Bitumen Ratio to be Used in Highway Asphalt Concrete by Machine Learning by Muhammed Yasin Çodur, Halis Bahadir Kasil, Emre Kuşkapan

Subjects: Get full text

Machine Learning ECG Classification Using Wavelet Scattering of Feature Extraction by Heyam A. Marzog, Haider. J. Abd

“…The highest accuracy of classification performance for machine learning approaches are 99.7 for neural network with wavelet scattering features extraction and 99.92 for SVM also with wavelet scattering features extraction. …”
Get full text

Anomaly Detection in Network Traffic Using Advanced Machine Learning Techniques by Stephanie Ness, Vishwanath Eswarakrishnan, Harish Sridharan, Varun Shinde, Naga Venkata Prasad Janapareddy, Vineet Dhanawat

Subjects: Get full text

Science Through Machine Learning: Quantification of Post‐Storm Thermospheric Cooling by Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, Douglas P. Drob, W. Kent Tobiska, Jean Yoshii

Subjects: “…machine learning…”
Get full text

New Trend: Application of Laser-Induced Breakdown Spectroscopy with Machine Learning by Zhe Wang

Get full text

Research on Personal Loan Default Risk Assessment Based on Machine Learning by Liu Guangsen

“…Among them, the Deep Neural Network has the best overall performance compared to the other three machine learning models. The research in this paper has certain research significance for the research of machine learning in personal loan default risk assessment.…”
Get full text

Prediction of growth and feed efficiency in mink using machine learning algorithms by A. Shirzadifar, G. Manafiazar, P. Davoudi, D. Do, G. Hu, Y. Miar

Subjects: Get full text

Accelerated enzyme engineering by machine-learning guided cell-free expression by Grant M. Landwehr, Jonathan W. Bogart, Carol Magalhaes, Eric G. Hammarlund, Ashty S. Karim, Michael C. Jewett

“…To address this challenge, we develop a machine learning (ML)-guided platform that integrates cell-free DNA assembly, cell-free gene expression, and functional assays to rapidly map fitness landscapes across protein sequence space and optimize enzymes for multiple, distinct chemical reactions. …”
Get full text

Digital Management and Optimization of Tourism Information Resources Based on Machine Learning by Xueqiu Zhuang, Huihua Jiao, Li Kang

“…The digital management of tourism information resources based on machine learning can optimize the tourism industry and promote its development.…”
Get full text

Predicting noncontact injuries of professional football players using machine learning by Diogo Nuno Freitas, Sheikh Shanawaz Mostafa, Romualdo Caldeira, Francisco Santos, Eduardo Fermé, Élvio R. Gouveia, Fernando Morgado-Dias

Get full text