Results 131 to 140 of about 324,009 (309)

RADAR: Raman Spectral Analysis Using Deep Learning for Artifact Removal

Advanced Optical Materials, EarlyView.
RADAR is introduced, two lightweight deep learning models for artifact removal, capable of simultaneous denoising and correction of Raman spectra, significantly accelerating high‐quality data acquisition. This work advances Raman spectroscopy as a faster, more reliable tool for chemical analysis, with broad applications in materials science, biomedical
Joel Sjöberg, Nicoleta Siminea, Andrei Păun, Adrian Lita, Mioara Larion, Ion Petre   +5 more
wiley   +1 more source

Review of Coherent Anti‐Stokes Raman Scattering Nonresonant Background Removal and Phase Retrieval Approaches: From Experimental Methods to Deep Learning Algorithms

Advanced Photonics Research, EarlyView.
Coherent anti‐stokes Raman spectroscopy (CARS) enables high‐resolution vibrational imaging, yet non‐resonant background (NRB) distorts spectral fidelity. This review highlights NRB removal methods—from experimental strategies and numerical algorithms to emerging deep learning techniques.
Rajendhar Junjuri, Thomas Bocklitz
wiley   +1 more source

Incoherent Digital Holography Empowered by Wavefront and Information Engineering: A Review

Advanced Photonics Research, EarlyView.
Advancements in incoherent digital holography (IDH) have been achieved via wavefront engineering (using spatial light modulators, diffractive optics, and metasurfaces) and information engineering (using compressive sensing and deep learning). This paper presents an overview of IDH with wavefront and information engineering, paving the way toward its ...
Teruyoshi Nobukawa
wiley   +1 more source

Recognition of European mammals and birds in camera trap images using deep neural networks

IET Computer Vision
Most machine learning methods for animal recognition in camera trap images are limited to mammal identification and group birds into a single class. Machine learning methods for visually discriminating birds, in turn, cannot discriminate between mammals ...
Daniel Schneider, Kim Lindner, Markus Vogelbacher, Hicham Bellafkir, Nina Farwig, Bernd Freisleben   +5 more
doaj   +1 more source

Vision‐Assisted Avocado Harvesting with Aerial Bimanual Manipulation

Advanced Robotics Research, EarlyView.
This work outlines the design and implementation of a bimanual aerial robot that employs visual perception and learning to detect, reach, and harvest avocados. A new gripper and fixer arm assembly is used to harvest avocados, while visual perception enables the detection of avocados and estimation of their position and orientation for determining ...
Zhichao Liu, Jingzong Zhou, Caio Mucchiani, Konstantinos Karydis   +3 more
wiley   +1 more source

Integration of Soft‐Robotics and Deep Learning to Assess the Coordinated Biosonar Emission and Reception Dynamics in Hipposiderid Bats

Advanced Robotics Research, EarlyView.
Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang, Ruihao Wang, Xiaoyan Yin, Luhui Yang, Rolf Müller   +4 more
wiley   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

Emotion Recognition Based on EEG Using Generative Adversarial Nets and Convolutional Neural Network [PDF]

, 2021
Bo Pan, Wei Zheng
openalex   +1 more source

Effect of Atomic Charges on C2H2/CO2/CH4 Separation Performances of Covalent‐Organic Framework Adsorbents

Advanced Theory and Simulations, EarlyView.
Three charge assignment approaches (one quantum chemistry method‐based, the other two machine‐learning (ML) model‐based) are employed to investigate acetylene separation performances of experimental covalent‐organic frameworks. Partial Atomic Charge Predicter for Porous Materials based on Graph Convolutional Neural Network (PACMAN) ML model‐based ...
Hakan Demir, Ilknur Erucar
wiley   +1 more source

Approach for identifying crop seeds with similar appearances using hyperspectral images and improved ResNet 18 based on cloud platform

Electronics Letters
This study proposes an improved ResNet18 model based on cloud platform and hyperspectral image to identify crop seeds. Hyperspectral images are preprocessed by moving average method (MA) and standard normal variable transformation (SNV) to reduce ...
Hui Li, Xuliang Duan
doaj   +1 more source