A critical review of existing and emerging technologies and systems to optimize solid waste management for feedstocks and energy conversion
Solid waste generation and its accumulation is increasing at an alarming pace due to
population growth and urbanization posing severe risks to health, safety, and natural …
population growth and urbanization posing severe risks to health, safety, and natural …
Compact and ultracompact spectral imagers: technology and applications in biomedical imaging
Significance Spectral imaging, which includes hyperspectral and multispectral imaging, can
provide images in numerous wavelength bands within and beyond the visible light …
provide images in numerous wavelength bands within and beyond the visible light …
Classification, identification, and growth stage estimation of microalgae based on transmission hyperspectral microscopic imaging and machine learning
A transmission hyperspectral microscopic imager (THMI) that utilizes machine learning
algorithms for hyperspectral detection of microalgae is presented. The THMI system has …
algorithms for hyperspectral detection of microalgae is presented. The THMI system has …
VNIR–NIR hyperspectral imaging fusion targeting intraoperative brain cancer detection
Currently, intraoperative guidance tools used for brain tumor resection assistance during
surgery have several limitations. Hyperspectral (HS) imaging is arising as a novel imaging …
surgery have several limitations. Hyperspectral (HS) imaging is arising as a novel imaging …
Hyperspectral and multispectral image processing for gross-level tumor detection in skin lesions: a systematic review
E Aloupogianni, M Ishikawa… - Journal of Biomedical …, 2022 - spiedigitallibrary.org
Significance: Skin cancer is one of the most prevalent cancers worldwide. In the advent of
medical digitization and telepathology, hyper/multispectral imaging (HMSI) allows for …
medical digitization and telepathology, hyper/multispectral imaging (HMSI) allows for …
Hyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection
Brain surgery is one of the most common and effective treatments for brain tumour. However,
neurosurgeons face the challenge of determining the boundaries of the tumour to achieve …
neurosurgeons face the challenge of determining the boundaries of the tumour to achieve …
Parallel wavelet networks incorporating modality adaptation for hyperspectral image super-resolution
Q Wang, Z Chen - Expert Systems with Applications, 2024 - Elsevier
Hyperspectral images (HSIs) have been applied to a wide range of areas thanks to their
high spectral resolutions. However, spatial resolutions of HSIs are inevitably compromised …
high spectral resolutions. However, spatial resolutions of HSIs are inevitably compromised …
A Bayesian optimal convolutional neural network approach for classification of coal and gangue with multispectral imaging
F Hu, M Zhou, P Yan, Z Liang, M Li - Optics and Lasers in Engineering, 2022 - Elsevier
The precise classification of coal and gangue is a crucial link for effective sorting and
efficient utilization. However, there are some shortcomings in traditional methods, such as …
efficient utilization. However, there are some shortcomings in traditional methods, such as …
based optical sensors paired with smartphones for biomedical analysis
The traditional analytical methods used for biomedical analysis are expensive and not easy
to handle and require sophisticated instruments, thus their application is limited in resource …
to handle and require sophisticated instruments, thus their application is limited in resource …
Light and autofluorescence, multitasking features in living organisms
AC Croce - Photochem, 2021 - mdpi.com
Organisms belonging to all life kingdoms may have the natural capacity to fluoresce.
Autofluorescence events depend on the presence of natural biomolecules, namely …
Autofluorescence events depend on the presence of natural biomolecules, namely …