Results 71 to 80 of about 11,848 (250)
DNN-Based Source Enhancement to Increase Objective Sound Quality Assessment Score [PDF]
We propose a training method for deep neural network (DNN)-based source enhancement to increase objective sound quality assessment (OSQA) scores such as the perceptual evaluation of speech quality (PESQ). In many conventional studies, DNNs have been used
Kazunori Kobayashi +4 more
core +3 more sources
Oxygen Evolution Reaction Catalysts for Acidic‐Media CO2 Electrolyzers
Acidic‐media CO2 electroreduction (CO2R) could decarbonize chemical production, despite relying on rare‐earth elements for anodic oxygen evolution reaction (OER). Transferring the learnings from mature sister technologies (water electrolysis) could accelerate technological development.
Mingcheng Huang, Adnan Ozden
wiley +1 more source
Rotation Invariant Automatic Infrared Target Recognition using G-Radon
In recent research, automatic target recognition (ATR) of infrared targets has been taking a lot of interest to the researchers. A rotation invariant method is useful in target recognition, classification and image analysis to reduce the number of ...
Won Jin-Ju, Kim Sungho
doaj +1 more source
Super-Resolution for Overhead Imagery Using DenseNets and Adversarial Learning
Recent advances in Generative Adversarial Learning allow for new modalities of image super-resolution by learning low to high resolution mappings.
Bosch, Marc +2 more
core +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
User acceptance of intelligent avionics: A study of automatic-aided target recognition [PDF]
User acceptance of new support systems typically was evaluated after the systems were specified, designed, and built. The current study attempts to assess user acceptance of an Automatic-Aided Target Recognition (ATR) system using an emulation of such a ...
Becker, Curtis A. +2 more
core +1 more source
3D Printing of Stretchable, Compressible and Conductive Porous Polyurethane for Soft Robotics
A 3D‐printable porous dopamine‐polyurethane acrylate elastomer results in conductive, stretchable, and compressible structures that can be metallized in situ through catechol‐mediated silver reduction. The resulting material function as both compliant soft robot with a and strain sensors without complex assemblies, enabling fully 3D‐printed soft ...
Ouriel Bliah +3 more
wiley +1 more source
Adhesive Double‐Network Granular Organogel E‐Skin
We introduce a double‐network granular organogel adhesive for electronic skin, overcoming adhesion and strength trade‐offs. It provides reversible, robust bonding and ionic conductivity, enabling wearable and soft robotic e‐skin. Thanks to the e‐skin adhesive, a soft robotic trunk can recognize touch, temperature, humidity, and acidity.
Antonia Georgopoulou +4 more
wiley +1 more source
Automated construction of a hierarchy of self-organized neural network classifiers [PDF]
This paper documents an effort to design and implement a neural network-based, automatic classification system which dynamically constructs and trains a decision tree. The system is a combination of neural network and decision tree technology.
Ruda, Harald, Snorrason, Magnus
core +1 more source
Radiative Cooling by Green(er) Solvents‐Upcycled Polyvinyl Chloride From Drug Blisters Waste
This study explores upcycling poly(vinyl chloride) (PVC) from used pharmaceutical blisters into sustainable radiative cooling materials. Using solvent separation and membrane fabrication, PVC was converted into white membranes paired with aluminum foil.
Andrea Lanfranchi +2 more
wiley +1 more source

