Innovative vibrational spectroscopy research for forensic application
A Weber, B Hoplight, R Ogilvie, C Muro… - Analytical …, 2023 - ACS Publications
Forensic science is a unique field of study as it combines fundamental and applied research
to assist with matters of the criminal justice system. While other branches of science have a …
to assist with matters of the criminal justice system. While other branches of science have a …
[HTML][HTML] On the identification of body fluids and tissues: a crucial link in the investigation and solution of crime
T Sijen, SA Harbison - Genes, 2021 - mdpi.com
Body fluid and body tissue identification are important in forensic science as they can
provide key evidence in a criminal investigation and may assist the court in reaching …
provide key evidence in a criminal investigation and may assist the court in reaching …
Hyperspectral image classification—Traditional to deep models: A survey for future prospects
Hyperspectral imaging (HSI) has been extensively utilized in many real-life applications
because it benefits from the detailed spectral information contained in each pixel. Notably …
because it benefits from the detailed spectral information contained in each pixel. Notably …
[HTML][HTML] Recent advances in multi-and hyperspectral image analysis
J Nalepa - Sensors, 2021 - mdpi.com
Current advancements in sensor technology bring new possibilities in multi-and
hyperspectral imaging. Real-life use cases which can benefit from such imagery span …
hyperspectral imaging. Real-life use cases which can benefit from such imagery span …
Non-destructive detection and classification of textile fibres based on hyperspectral imaging and 1D-CNN
J Huang, H He, R Lv, G Zhang, Z Zhou, X Wang - Analytica Chimica Acta, 2022 - Elsevier
Textile fibre is very common in daily life, and its classification and identification play an
important role in textile recycling, archaeology, public security, and other industries …
important role in textile recycling, archaeology, public security, and other industries …
A disjoint samples-based 3D-CNN with active transfer learning for hyperspectral image classification
Convolutional neural networks (CNNs) have been extensively studied for hyperspectral
image classification (HSIC). However, CNNs are critically attributed to a large number of …
image classification (HSIC). However, CNNs are critically attributed to a large number of …
Conventional to deep ensemble methods for hyperspectral image classification: A comprehensive survey
Hyperspectral image classification (HSIC) has become a hot research topic. Hyperspectral
imaging (HSI) has been widely used in a wide range of real-world application areas due to …
imaging (HSI) has been widely used in a wide range of real-world application areas due to …
Spatial spectral transformer with conditional position encoding for hyperspectral image classification
In Transformer-based hyperspectral image classification (HSIC), predefined positional
encodings (PEs) are crucial for capturing the order of each input token. However, their …
encodings (PEs) are crucial for capturing the order of each input token. However, their …
Hyperspectral imaging-based unsupervised adulterated red chili content transformation for classification: Identification of red chili adulterants
Preserving red-chili quality is of utmost importance in which the authorities demand quality
techniques to detect, classify, and prevent it from impurities. For example, salt, wheat flour …
techniques to detect, classify, and prevent it from impurities. For example, salt, wheat flour …
(2+ 1) D Extreme Xception Net for Hyperspectral Image Classification
3-D CNNs have demonstrated their capability to capture intricate nonlinear relationships
within hyperspectral images (HSIs). However, the computational complexity of 3-D CNNs …
within hyperspectral images (HSIs). However, the computational complexity of 3-D CNNs …