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 …

[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 …

Hyperspectral image classification—Traditional to deep models: A survey for future prospects

M Ahmad, S Shabbir, SK Roy, D Hong… - IEEE journal of …, 2021 - ieeexplore.ieee.org
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 …

[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 …

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 …

A disjoint samples-based 3D-CNN with active transfer learning for hyperspectral image classification

M Ahmad, U Ghous, D Hong, AM Khan… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) have been extensively studied for hyperspectral
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

F Ullah, I Ullah, RU Khan, S Khan… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
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 …

Spatial spectral transformer with conditional position encoding for hyperspectral image classification

M Ahmad, M Usama, AM Khan… - … and Remote Sensing …, 2024 - ieeexplore.ieee.org
In Transformer-based hyperspectral image classification (HSIC), predefined positional
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

MH Khan, Z Saleem, M Ahmad, A Sohaib… - Neural Computing and …, 2021 - Springer
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 …

(2+ 1) D Extreme Xception Net for Hyperspectral Image Classification

U Ghous, MS Sarfraz, M Ahmad, C Li… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
3-D CNNs have demonstrated their capability to capture intricate nonlinear relationships
within hyperspectral images (HSIs). However, the computational complexity of 3-D CNNs …