Hyperspectral remote sensing in lithological map**, mineral exploration, and environmental geology: an updated review

S Peyghambari, Y Zhang - Journal of Applied Remote Sensing, 2021 - spiedigitallibrary.org
Hyperspectral imaging has been used in a variety of geological applications since its advent
in the 1970s. In the last few decades, different techniques have been developed by …

A comprehensive review of binary neural network

C Yuan, SS Agaian - Artificial Intelligence Review, 2023 - Springer
Deep learning (DL) has recently changed the development of intelligent systems and is
widely adopted in many real-life applications. Despite their various benefits and potentials …

Computer vision applications in offsite construction

F Alsakka, S Assaf, I El-Chami, M Al-Hussein - Automation in Construction, 2023 - Elsevier
The field of computer vision has undergone rapid growth in recent years, yet the use of
computer vision in offsite construction remains an under-researched area of study. Given the …

Survey on the analysis of user interactions and visualization provenance

K Xu, A Ottley, C Walchshofer, M Streit… - Computer Graphics …, 2020 - Wiley Online Library
There is fast‐growing literature on provenance‐related research, covering aspects such as
its theoretical framework, use cases, and techniques for capturing, visualizing, and …

Monitoring and map** vegetation cover changes in arid and semi-arid areas using remote sensing technology: a review

R Almalki, M Khaki, PM Saco, JF Rodriguez - Remote Sensing, 2022 - mdpi.com
Vegetation cover change is one of the key indicators used for monitoring environmental
quality. It can accurately reflect changes in hydrology, climate, and human activities …

A review of the medical hyperspectral imaging systems and unmixing algorithms' in biological tissues

A ul Rehman, SA Qureshi - Photodiagnosis and Photodynamic Therapy, 2021 - Elsevier
Hyperspectral fluorescence imaging (HFI) is a well-known technique in the medical research
field and is considered a non-invasive tool for tissue diagnosis. This review article gives a …

Long-tailed visual recognition with deep models: A methodological survey and evaluation

Y Fu, L **ang, Y Zahid, G Ding, T Mei, Q Shen, J Han - Neurocomputing, 2022 - Elsevier
In the real world, large-scale datasets for visual recognition typically exhibit a long-tailed
distribution, where only a few classes contain adequate samples but the others have (much) …

Transfer learning-based state of charge and state of health estimation for Li-ion batteries: A review

L Shen, J Li, L Meng, L Zhu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
State of charge (SOC) and state of health (SOH) estimation play a vital role in battery
management systems (BMSs). Accurate and robust state estimation can prevent Li-ion …

3D texture feature extraction and classification using GLCM and LBP-based descriptors

S Barburiceanu, R Terebes, S Meza - Applied Sciences, 2021 - mdpi.com
Lately, 3D imaging techniques have achieved a lot of progress due to recent developments
in 3D sensor technologies. This leads to a great interest regarding 3D image feature …

[PDF][PDF] An integrated interactive technique for image segmentation using stack based seeded region growing and thresholding.

S Hore, S Chakraborty, S Chatterjee, N Dey… - International Journal of …, 2016 - academia.edu
Image segmentation is a challenging process in numerous applications. Region growing is
one of the segmentation techniques as a basis for the Seeded Region Growing method. A …