Results 81 to 90 of about 297,664 (309)
Recognition Of Hand Gesture Using CNN for American Sign Language
We have proposed gesture recognition system for hand gesture in this paper which would make communication easier for people who have problem of hearing impairment,and they will have more opportunities to interact and deal with the outer ...
HADEEB KHAN +2 more
doaj
CNN-2 is composed of four layers: two convolutional layers, one fully connected layer, and an output layer.
No-Sang Kwak (3772630) +2 more
core +1 more source
Flexible Sensors for Robotics Tactile Perception: A Review
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley +1 more source
Beyond Traditional Biometrics: Harnessing Chest X-Ray Features for Robust Person Identification
Person identification through chest X-ray radiographs stands as a vanguard in both healthcare and biometrical security domains. In contrast to traditional biometric modalities, such as facial recognition, fingerprints and iris scans, the research ...
Farah Hazem +5 more
doaj +1 more source
In this paper, we consider convolutional neural networks operating on sparse inputs with an application to depth upsampling from sparse laser scan data. First, we show that traditional convolutional networks perform poorly when applied to sparse data even when the location of missing data is provided to the network. To overcome this problem, we propose
Jonas Uhrig +5 more
openaire +3 more sources
Zuckerberg exclusive broadcast interview on CNN\u27s ʺNew Dayʺ about internet.org launch
CNN\u27s New Day interviews Mark Zuckerberg about the internet.org launch in 2013https://epublications.marquette.edu/zuckerberg_files_videos/1069/thumbnail ...
CNN
core
CNN-HMM for constraining state transitions.
The figure illustrates how the HMM is used on top of the CNN to enforce prediction sequences which adhere to physiological constraints. In particular, we disallow REM → NREM and WAKE → REM vigilance state transitions.
Antoine Adamantidis (586786) +11 more
core +1 more source
A balanced multimodal food‐waste dataset and a novel Split Spatial‐Spectral Attention fusion framework are presented for robotic contaminant detection. Separate processing of RGB, thermal, and multispectral inputs preserves subtle material signatures before feature integration, reducing modality interference and improving classification and ...
Matthew Vestal +5 more
wiley +1 more source
Implementation of MobileNet Architecture for Skin Cancer Disease Classification
As the number of occurrences of skin cancer increases year, it becomes more and more crucial to identify the disease accurately and effectively. This study aims to implement and evaluate the MobileNet architecture for classifying nine types of skin ...
Haniifa Aliila Faudyta +2 more
doaj +1 more source
Eight visual fields correctly discriminated by the CNN: control cases from the BD data set with G program test pattern (a-b) and the RT data set with 24–2 test pattern (c-d); EG cases from the BD data set with G program test pattern (e-f) and the RT data
Şerife Seda Kucur (4512340) +2 more
core +1 more source

