Spectral imaging with deep learning
The goal of spectral imaging is to capture the spectral signature of a target. Traditional
scanning method for spectral imaging suffers from large system volume and low image …
scanning method for spectral imaging suffers from large system volume and low image …
Modern trends in hyperspectral image analysis: A review
Over the past three decades, significant developments have been made in hyperspectral
imaging due to which it has emerged as an effective tool in numerous civil, environmental …
imaging due to which it has emerged as an effective tool in numerous civil, environmental …
Real-time fluorescence screening platform for meat freshness
Meat's freshness is closely related to food safety and human health and has received
increasing attention nowadays. To on-site visually screen meat freshness in a fast and non …
increasing attention nowadays. To on-site visually screen meat freshness in a fast and non …
Emerging non-destructive imaging techniques for fruit damage detection: Image processing and analysis
NK Mahanti, R Pandiselvam, A Kothakota… - Trends in Food Science …, 2022 - Elsevier
Background Fruits are vulnerable to mechanical damages and physiological disorders
caused by the static and dynamic forces acting on them during transportation and abiotic …
caused by the static and dynamic forces acting on them during transportation and abiotic …
Separation, characterization and identification of microplastics and nanoplastics in the environment
Microplastics (MPs) have globally been detected in aquatic and marine environments, which
has raised scientific interests and public health concerns during the past decade. MPs are …
has raised scientific interests and public health concerns during the past decade. MPs are …
Mechanisms and applications of terahertz metamaterial sensing: a review
W Xu, L Xie, Y Ying - Nanoscale, 2017 - pubs.rsc.org
Terahertz (THz) technology has attracted great worldwide interest and novel high-intensity
THz sources and plasmonics are two of the most active fields of recent research. Being …
THz sources and plasmonics are two of the most active fields of recent research. Being …
Integration of hyperspectral imaging and autoencoders: Benefits, applications, hyperparameter tunning and challenges
Hyperspectral imaging (HSI) is a powerful tool that can capture and analyze a range of
spectral bands, providing unparalleled levels of precision and accuracy in data analysis …
spectral bands, providing unparalleled levels of precision and accuracy in data analysis …
Hyperspectral imaging and machine learning in food microbiology: Developments and challenges in detection of bacterial, fungal, and viral contaminants
Hyperspectral imaging (HSI) is a robust and nondestructive method that can detect foreign
particles such as microbial, chemical, and physical contamination in food. This review …
particles such as microbial, chemical, and physical contamination in food. This review …
Medical hyperspectral imaging: a review
Hyperspectral imaging (HSI) is an emerging imaging modality for medical applications,
especially in disease diagnosis and image-guided surgery. HSI acquires a three …
especially in disease diagnosis and image-guided surgery. HSI acquires a three …
Classification of arrhythmia by using deep learning with 2-D ECG spectral image representation
The electrocardiogram (ECG) is one of the most extensively employed signals used in the
diagnosis and prediction of cardiovascular diseases (CVDs). The ECG signals can capture …
diagnosis and prediction of cardiovascular diseases (CVDs). The ECG signals can capture …