Combination of High-Throughput and Machine Learning in Material Discovery (FAU-UofT) JAMSHEDPUR - INDIA, 11 March 2020doi:10.13140/RG.2.2.21554.02241Jose Perea
Change Machine Learning Data Type byeugeneang12onLatest post on03-28-2024byc-lopez 1Reply 2028Views Transposing cell values to newly created columns bykrnstpnonLatest post on03-27-2024byc-lopez 2Replies 1549Views Predicting too many targets in Alteryx ...
stress. To this end, we extract features from the measured body posture and movement data and train machine learning models to classify acute psychosocial stress. With our work, we aim to lay the foundation for further research in investigating body posture and movement information as behavioral ma...
NBER Lectures on Machine Learning An Introduction to Supervised 热度: predicting early symptomatic osteoarthritis in the human knee using machine learning classification of magnetic resonanc.预测早期人类膝骨关节炎症状使用机器学习分类的磁共振图像骨关节 ...
Friedrich-Alexander-University Erlangen-Nurnberg (FAU)ErlangenGermanyEuropeCyborgsEmerging TechnologiesMachine LearningBy a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News 鈥 Researchers detail new data in artificial intelligence. According to news originating fromErlangen,...
Friedrich-Alexander-University Erlangen-Nurnberg (FAU) Researchers Have Provided New Data on Machine Learning (HARad- Net: Anchor-free target detection for radar point clouds using hierarchical attention and multi-task learning)By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily ...
Mohd' Akashah Fauthanhttps://ror.org/008g13a47grid.437877.80000 0001 2181 4765Machinery Technology CentreSIRIM Berhad No 1A, Persiaran Zurah, Kawasan Perindustrian Rasa, Hulu Selangor 44200 Selangor MalaysiaKhairuddin Mahalilhttps://ror.org/008g13a47grid.437877.80000 0001 2181 4765Machinery Technology ...
A Framework for User Characterization based on Tweets Using Machine Learning Algorithmsdoi:10.1145/3301326.3301373Kinza ZahraFarooque AzamWasi Haider ButtFauqia IlyasACM PressInternational Conference Network, Communication and Computing
Here, we use Machine Learning (ML) techniques to predict the elastic properties of Ordinary Portland Cement (OPC) pastes. A database with 365 observations is built on experimental studies from in the literature. We show that micromechanics-based estimations may provide missing data in databases to...
In this paper, a knowledge-based cognitive architecture is proposed that merges expert knowledge on the satellite infrastructure with the ability of machine learning algorithms to detect patterns from large amounts of data. The architecture is able to detect possible anomalies in the satellite ...