Modular digital and 3d-printed dental models with applicability in dental education
HIGHLIGHTS SUMMARY The digital revolution has spread across all medical fields, including dentistry, and, as expected, it has also touched […]
Computer_Science
Computer_Science
Computer_Science
Facile and highly precise ph-value estimation using common ph paper based on machine learning techniques and supported mobile devices
HIGHLIGHTS who: Mohamed M. Elsenety from the DepartmentAzhar University have published the paper: Facile and highly precise pH-value estimation using
Computer_Science
Fill in the blank for fashion complementary outfit product retrieval: visum summer school competition
HIGHLIGHTS SUMMARY The increasing demand for fashion complementary product recommendation has motivated the development of several techniques that can determine
Computer_Science
Nonlinear physics opens a new paradigm for accurate transcription start site prediction
HIGHLIGHTS who: Josu00e9 Antonio Barbero-Aparicio from the Departamento Informu00e1tica, Avda Spain have published the Article: Nonlinear physics opens a new
Computer_Science
Restinet: an efficient deep learning approach to improve human detection accuracy
HIGHLIGHTS who: Shahriar Shakir Sumit from the of Computer and Information Sciences, Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia
Computer_Science
International journal of multidisciplinary: applied business and education research
HIGHLIGHTS SUMMARY In a similar context, findings of Zulueta et_al, reported that there is a moderate level of 21st-century skills
Computer_Science
Computational design of quinone electrolytes for redox ow batteries using high-throughput machine learning and theoretical calculations
HIGHLIGHTS who: . et al. from the Praxair, United States Auburn University, United States have published the research: Computational design
Computer_Science
Development open distance learning of modern engineering tool and its assessment for civil engineering 2023)
HIGHLIGHTS who: Hassan Danial from the School of Civil Engineering, College of Engineering, Universiti Teknologi MARA Cawangan Johor, Kampus Pasir
Computer_Science
Comparative performance of machine-learning and deep-learning algorithms in predicting gas-liquidflow regimes
HIGHLIGHTS who: Noor Hafsa and colleagues from the Department of Computer Science, College of Computer Science and Information Technology, King
Computer_Science
Design, implementation, and analysis of a block cipher based on a secure chaotic generator
HIGHLIGHTS who: Fethi Dridi and colleagues from the Electronics and Microelectronics Laboratory (Eu00b5E), Faculty of Sciences of, University of, CNRS,