In an article published in the journal Sensors, researchers analyzed the deep learning EfficientDet model and determined its advantages in detecting hazardous goods vehicles.
A recent study published in Remote Sensing suggests an information-reinforced depth completion network based on single sparse depth input.
By Usman Ahmed
22 Sep 2022
Researchers have demonstrated a novel segmented linear ion trap for multiple-stage tandem mass spectrometry. The external injection of reagent ions, photons, radical neutral species, collisions with neutrals, and electrons were all components of the ion activation network.
By Pritam Roy
22 Sep 2022
Scientists have developed a flexible, needle-like endoscopic imaging tool that can capture 3D microscopic images of tissue.
Globally, experts are aiming to execute quantum information technologies. One significant path pertains to light: single light packages, also referred to as photons or light quanta, could convey data that is coded as well as efficiently tap-proof.
In an upcoming study from ACS Catalysis, researchers developed a series of novel phosphonium borane catalysts and investigated them using Raman spectroscopy in the context of CO2/epoxide copolymerizations.
Researchers have devised a fluorescence-based analysis method to determine the amount of recycled constituents in plastic and plastic packages intended for single usage.
By Ilamaran Sivarajah
21 Sep 2022
Researchers have proposed cure stage detection with Fiber Bragg Gratings (FBGs) inscribed in single mode and highly-birefringent side-hole fiber compared to the reference gel point detected with an in-mold DC sensor.
A recent study published in Remote Sensing demonstrates a novel decoupled independent feature image that can simultaneously sense the tilt/tilt and piston errors of all sub-mirrors.
By Usman Ahmed
21 Sep 2022
Investigators at Caltech have devised a new diagnostic imaging technology that offers surgeons greater accuracy in identifying cancerous bone tissue.
In an article published in Remote Sensing, researchers demonstrated a novel technique for bottom depth retrieval based on Hydrolight simulation.
By Pritam Roy
20 Sep 2022
High-quality visual displays rendered using the “path tracing” algorithm are often noisy. Recent supervised learning-based denoising algorithms rely on external training dataset, take long to train, and do not work well when the training and test images are different.
A new kind of holographic microscope was developed by scientists to observe the neural network in the brain.
Researchers have performed a review to bridge different dynamically adjustable LC architectures with their various applications in Soft Mattonics.
Quasi-parametric amplification enables high efficiency and low noise amplification of ultrashort pulses.