Results 161 to 170 of about 3,867,649 (355)
Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review
Advanced Robotics Research, EarlyView.This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj +2 more
wiley +1 more source
Purpose and usability of digital libraries [PDF]
, 2000 Yin Leng Theng +2 more
openalex +1 more source
Digital Libraries and Medicine [PDF]
Yearbook of Medical Informatics, 2001 R Haux, C A Kulikowski
openaire +2 more sources
Advanced Sensor Research, EarlyView.This study introduces a textile‐based capacitive pressure sensor featuring a triangular prism microstructure, which significantly enhances sensitivity to 5.52% kPa−¹ and supports a wide sensing range up to 330 kPa. The sensor's performance is validated in a 4‐channel capacitive pressure‐based force myography (cFMG) armband for gesture recognition ...
Rayane Tchantchane +3 more
wiley +1 more source
Label‐Free FET Based Biosensor for Detection of Engineered CAR T‐Cells at Single Cell Resolution
Advanced Sensor Research, EarlyView.A silicon nanowire field‐effect transistor (SiNW FET) biosensor that allows for label‐free, real‐time detection and quantification of engineered Chimeric Antigen Receptor (CAR) T‐cells at single‐cell resolution is presented. By mimicking the CAR‐specific antigen interface, the platform provides highly selective analysis of individual cell surface ...
Trang Anh Nguyen‐Le +5 more
wiley +1 more source
Solutions to Challenges Facing a University Digital Library and Press [PDF]
, 2000 Michael P. D’Alessandro +7 more
openalex +1 more source
Usability of digital libraries [PDF]
International Journal on Digital Libraries, 2004 Blandford, A., Buchanan, G., Jones, M.
openaire +4 more sources
Advanced Theory and Simulations, EarlyView.Machine Learning (ML) and optimization have permeated almost every aspect of engineering applications. Recent years have seen great traction toward ML‐based GaN HEMT modelling. However, ML‐based GaN HEMT models are mostly developed using variants of Artificial Neural Network (ANN).
Saddam Husain +2 more
wiley +1 more source