Independent component analysis application for fault detection in process industries: Literature review and an application case study for fault detection in multiphase …

GLP Palla, AK Pani - Measurement, 2023 - Elsevier
In process industries, early detection and diagnosis of faults is crucial for timely identification
of process upsets, equipment and/or sensor malfunctions. Machine learning techniques …

A fuzzy convolutional neural network for enhancing multi-focus image fusion

K Bhalla, D Koundal, B Sharma, YC Hu… - Journal of Visual …, 2022 - Elsevier
The images captured by the cameras contain distortions, misclassified pixels, uncertainties
and poor contrast. Therefore, the multi-focus image fusion (MFIF) integrates various input …

A new algorithm for digital image encryption based on chaos theory

Y Pourasad, R Ranjbarzadeh, A Mardani - Entropy, 2021 - mdpi.com
In recent decades, image encryption, as one of the significant information security fields, has
attracted many researchers and scientists. However, several studies have been performed …

[HTML][HTML] Current advancements in therapeutic approaches in orthopedic surgery: a review of recent trends

W Liang, C Zhou, J Bai, H Zhang, B Jiang… - … in Bioengineering and …, 2024 - frontiersin.org
Recent advancements in orthopedic surgery have greatly improved the management of
musculoskeletal disorders and injuries. This review discusses the latest therapeutic …

Role of hybrid deep neural networks (HDNNs), computed tomography, and chest X-rays for the detection of COVID-19

M Irfan, MA Iftikhar, S Yasin, U Draz, T Ali… - International Journal of …, 2021 - mdpi.com
COVID-19 syndrome has extensively escalated worldwide with the induction of the year
2020 and has resulted in the illness of millions of people. COVID-19 patients bear an …

Security assured CNN-based model for reconstruction of medical images on the internet of healthcare things

S More, J Singla, S Verma, U Ghosh… - IEEE …, 2020 - ieeexplore.ieee.org
Medical Imaging is the most significant technique that constitutes information needed to
diagnose and make the right decisions for treatment. These images suffer from inadequate …

Above-ground biomass estimation of plantation with different tree species using airborne lidar and hyperspectral data

L Gao, G Chai, X Zhang - Remote Sensing, 2022 - mdpi.com
Forest above-ground biomass (AGB) is an important index to evaluate forest carbon
sequestration capacity, which is very important to maintain the stability of forest ecosystems …

A method noise-based convolutional neural network technique for CT image Denoising

P Singh, M Diwakar, R Gupta, S Kumar, A Chakraborty… - Electronics, 2022 - mdpi.com
Medical imaging is a complex process that capitulates images created by X-rays, ultrasound
imaging, angiography, etc. During the imaging process, it also captures image noise during …

Recent trends, technical concepts and components of computer-assisted orthopedic surgery systems: a comprehensive review

J Kubicek, F Tomanec, M Cerny, D Vilimek, M Kalova… - Sensors, 2019 - mdpi.com
Computer-assisted orthopedic surgery (CAOS) systems have become one of the most
important and challenging types of system in clinical orthopedics, as they enable precise …

Applicable artificial intelligence for brain disease: A survey

C Huang, J Wang, SH Wang, YD Zhang - Neurocomputing, 2022 - Elsevier
Brain diseases threaten hundreds of thousands of people over the world. Medical imaging
techniques such as MRI and CT are employed for various brain disease studies. As artificial …