Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Kumar, Dhanraj"'
Autor:
Muthuraman Muthuchamy, Kumaran Subramanian, Chirayu Padhiar, Arvind Kumar Dhanraj, Swathi Desireddy
Publikováno v:
The International Journal of Artificial Organs. 45:936-944
Objectives: Placental tissue is an established biomaterial used in many clinical applications. However, its use for tissue engineering purposes has not been fully realized. Though articular cartilage extracellular matrix (ECM)-derived oriented scaffo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f322db4c1a3f87130a98d9bb2442d3af
https://doi.org/10.1177/03913988221118102
https://doi.org/10.1177/03913988221118102
Publikováno v:
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a4d3d0765c7f755333d8427dd8246dd
https://doi.org/10.1109/icac3n56670.2022.10074429
https://doi.org/10.1109/icac3n56670.2022.10074429
Publikováno v:
Polymer Bulletin. 79:7065-7116
Additive manufacturing offers flexibility in designing, customizing, minimization of waste, manufacturing complex profiles and faster prototyping. Among these, polyjet and fused deposition modelling (FDM) process are widely employed to manufacture th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d3d653901898d663649ae4759f00c74
https://doi.org/10.1007/s00289-021-03899-0
https://doi.org/10.1007/s00289-021-03899-0
Autor:
Chirayu Padhiar, A. Wilson Aruni, Mayur Abhaya, Muthuraman Muthuchamy, Arvind Kumar Dhanraj, Vignesh Ganesan, Flora Bai Bovas, Senthil Nagarajan Rajakani
Publikováno v:
Biochemical Engineering Journal. 184:108470
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b46f5f5184058959afe8bea5a2e46de2
https://doi.org/10.1016/j.bej.2022.108470
https://doi.org/10.1016/j.bej.2022.108470
Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and
Publikováno v:
Geotechnical & Geological Engineering; Dec2020, Vol. 38 Issue 6, p6157-6176, 20p