Results 111 to 120 of about 5,510,322 (305)

Flexible Sensors for Robotics Tactile Perception: A Review

open access: yesAdvanced Robotics Research, EarlyView.
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

UC Food Waste: A Multimodal Robotic Perception Dataset for Robust Contaminant Detection in Complex Biowaste Scenes

open access: yesAdvanced Robotics Research, EarlyView.
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

Large receptive field convolutional neural network for image super-resolution

open access: yes, 2017
This paper presents a new approach to Single Image Super Resolution (SISR), based upon Convolutional Neural Network (CNN). Although the SISR is ill-posed which can be seen as finding a non-linear mapping from a low to high dimensional space.
Wang Q(王强)   +3 more
core  

Identifikasi Foto Fashion dengan Menggunakan Convolutional Neural Network (CNN)

open access: yes, 2021
Perkembangan teknologi sekarang ini berdampak pada banyak hal, salah satunya ialah pada bidang Fashion. Penggunaan Artificial Intelligence dan juga deep learning dapat dimanfaatkan dalam bidang Fashion, salah satu contohnya adalah pengenalan objek ...
Waworundeng, J. (Jacquline)   +1 more
core  

Solid Harmonic Wavelet Bispectrum for Image Analysis

open access: yesAdvanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown   +3 more
wiley   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

open access: yesAdvanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas   +6 more
wiley   +1 more source

Performance Analysis of a Hybrid Complex-Valued CNN-TCN Model for Automatic Modulation Recognition in Wireless Communication Systems

open access: yesApplied System Innovation
This paper presents a novel deep learning-based automatic modulation recognition (AMR) model, designed to classify ten modulation types from complex I/Q signal data.
Hamza Ouamna   +4 more
doaj   +1 more source

Gender Classification Using a Convolutional Neural Network (CNN)

open access: yes
Abstract The purpose of this paper is to demonstrate an innovative convolutional neural network (also known as CNN) methodology for real-time categorization of gender via face photos. The suggested CNN architecture boasts much reduced computational complexity than the current methodologies used in pattern recognition applications.
Vyshnavi, Cherukuri   +4 more
openaire   +2 more sources

HSI-CNN: A Novel Convolution Neural Network for Hyperspectral Image

open access: yesCoRR, 2018
With the development of deep learning, the performance of hyperspectral image (HSI) classification has been greatly improved in recent years. The shortage of training samples has become a bottleneck for further improvement of performance. In this paper, we propose a novel convolutional neural network framework for the characteristics of hyperspectral ...
Yanan Luo   +4 more
openaire   +2 more sources

Convolutional Neural Network - CS256-FC256

open access: yes, 2018
Convolutional Neural Network (CNN) trained for patch-based classification of invasive breast cancer from histopathology digital images. The CNN architecture is 256 units in convolution and pooling layers, 256 units of fully connected layer and 2 units ...
Michael Feldman (244700)   +8 more
core   +1 more source

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