Results 151 to 160 of about 173,176 (293)
TTEA: designing a quantum-ready and energy-conscious encryption model for secure IoT environments. [PDF]
Abdelaal MA +3 more
europepmc +1 more source
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
A low-cost color sensor device for rapid detection of high-grade serous ovarian carcinoma (HGSOC). [PDF]
Iqbal F.
europepmc +1 more source
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
PlatROB: An open-source, modular, and low-cost hardware platform for mobile robotics and AI education. [PDF]
Balbuena J +4 more
europepmc +1 more source
Arduino Printer Bachelor thesis „Arduino printer“, author Danielius Sivinskis. This project contains narrow instructions on how printer was built and programmed using Arduino language. Step-by-step instructions on how the structure was made. Explaining every component, it‘s purpose and why it was chosen specifically.
openaire +1 more source
This article introduces a computer vision‐assisted control strategy for light‐driven liquid crystal elastomer actuators. Through negative feedback regulation, the liquid crystal elastomer actuator exhibits accurate and stable bending deformation in complex environments.
Wei Zhang +6 more
wiley +1 more source
MicroStretch: Microstretcher designed for live imaging on microscopic stages. [PDF]
Switz A, Prasad A.
europepmc +1 more source
Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir
Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka +7 more
wiley +1 more source
Geriatric medicine in an ageing society: up for a challenge?
Arduino A Mangoni
doaj +1 more source

