IEEE

On-Off Keying Signal Detection Based on Hidden Markov Model for Rydberg Atomic Sensor

Abstract: Rydberg atomic sensors have been seen as novel radio frequency (RF) measurements and the high sensitivity to a large range of frequencies makes it attractive for communications reception. In ...
C&EN

Ultrasensitive Mid-Infrared Optical Gas Sensor Based on Germanium-on-Insulator Photonic Circuits with Limit-of-Detection at Sub-ppm Level

School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-Ro, Yuseong-Gu, Daejeon 34141, Republic of Korea School of Electrical Engineering, Korea ...
C&EN

Insertable Glucose Sensor Using a Compact and Cost-Effective Phosphorescence Lifetime Imager and Machine Learning

Electrical & Computer Engineering Department, University of California, Los Angeles, California 90095, United States Bioengineering Department, University of California, Los Angeles, California 90095, ...
the-ambient

Aqara Hub M3 review

I wish I could say it was worth the wait but it fails at what really Matters... The Aqara Hub M3 is arguably the best Aqara smart home hub so far but, and it’s a big but, it’s only really on the Aqara ...
Frontiers

Wearable sensor devices can automatically identify the ON-OFF status of patients with Parkinson's disease through an interpretable machine learning model

Introduction: Accurately and objectively quantifying the clinical features of Parkinson's disease (PD) is crucial for assisting in diagnosis and guiding the formulation of treatment plans. Therefore, ...
IEEE

Investigation of the Global Shutter Operation of the Quantum-Dot Short-Wave Infrared Image Sensor

Abstract: Quantum dot (QD) thin-film photodiodes (TFPDs) are studied extensively in the image sensor field as they can pave the way toward the cost-efficient implementation of short-wave infrared ...
GitHub

door-lock

This project is an intelligent system that detects faces real time and unlocks a door lock employing an AVR development board, based on the famous and best in the domain of face detection, research ...