Editorial: the use of deep learning in mapping and diagnosis of cancers
HIGHLIGHTS who: Abhishek Mahajan from the MedStar Georgetown University Hospital, United States have published the article: Editorial: The use of […]
Computer_Science
Computer_Science
Computer_Science
The power of transfer learning in agricultural applications: agrinet
HIGHLIGHTS SUMMARY Historically, the recognition task was relying on algorithms that needs handcrafted features, which were processed using relatively simple
Computer_Science
Leveraging machine learning and semi-structured information to identify political views from social media posts
HIGHLIGHTS who: Adriana Olteanu et al. from the Faculty of Automatic Control and Computers, Politehnica University of Bucharest, Bucharest, Romania
Computer_Science
An example-guide for rapid seismic assessment and frp strengthening of substandard rc buildings
HIGHLIGHTS who: Sousana Tastani and Georgia Thermou from the Civil Engineering Department, Democritus University of Thrace, , Xanthi, Greece have
Computer_Science
Deep learning-based artificial intelligence to investigate targeted nanoparticles’ uptake in tnbc cells
HIGHLIGHTS who: Rafia Ali and collaborators from the School of Pharmacy, Faculty of Medicine and Health, University of Sydney, Sydney,
Computer_Science
Machine learning in cnc machining: best practices
HIGHLIGHTS who: Tim von Hahn and Chris K. Mechefske from the Department of Mechanical and Materials Engineering, Queen`s University, Kingston,
Computer_Science
Automated identification of overheated belt conveyor idlers in thermal images with complex backgrounds using binary classification with cnn
HIGHLIGHTS who: Siami and collaborators from the AMC Vibro Spz oo., Pilotow, e, Kraku00f3w, Poland Department of Robotics and Mechatronics,
Computer_Science
A general pose recognition method and its accuracy analysis for 6-axis external fixation mechanism using image markers
HIGHLIGHTS who: Sida Liu et al. from the Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education,
Computer_Science
Revisioning and rebuilding britain`s war-damaged cities
HIGHLIGHTS who: Peter J. Larkham and David Adams from the edited by Seraphim Alvanides (Northumbria University) and Carol Ludwig (GESIS
Computer_Science
Prediction method for office building energy consumption based on an agent-based model considering occupant-equipment interaction behavior
HIGHLIGHTS who: Yan Ding et al. from the School of Environmental Science and Engineering, Tianjin University, Tianjin, China have published