Mapping the landscape of artificial intelligence in skin cancer research: a bibliometric analysis

Q Liu, J Zhang, Y Bai - Frontiers in Oncology, 2023 - frontiersin.org
Objective Artificial intelligence (AI), with its potential to diagnose skin cancer, has the
potential to revolutionize future medical and dermatological practices. However, the current …

[PDF][PDF] A review of the automated timber defect identification approach

HC Teo, UR Hashim, S Ahmad… - International Journal of …, 2023 - academia.edu
Timber quality control is undoubtedly a very laborious process in the secondary wood
industry. Manual inspections by operators are prone to human error, thereby resulting in …

[PDF][PDF] Kidney stones detection based on deep learning and discrete wavelet transform

FS Tahir, AA Abdulrahman - Indonesian Journal of Electrical …, 2023 - academia.edu
The problem of the research is to find medical images of purity, high quality and free of
impurities, which contributes to enabling doctors to obtain the results of analyzing the health …

Detection of the patient with COVID-19 relying on ML technology and FAST algorithms to extract the features

SA Sahy, SH Mahdi, HM Gheni… - Bulletin of Electrical …, 2022 - beei.org
COVID-19 is unquestionably one of the most hazardous health issues of our century, and it
is a significant cause of mortality for both men and women throughout the globe. Even with …

Designing a power system stabilizer using a hybrid algorithm by genetics and bacteria for the multi-machine power system

M Zadehbagheri, T Sutikno, MJ Kiani… - Bulletin of Electrical …, 2023 - beei.org
This research creates an optimal power grid stabilizer for four machines. Rotor speed
signals are system inputs in the proposed design. To improve response, this system uses a …

[PDF][PDF] Multi object detection based on deep learning and discrete wavelet transform

ZK Abdullah, AA Abdulrahman - Int. J. Math. Computer Sci, 2024 - ijmcs.future-in-tech.net
Object detection is one of the most important applications in the field of artificial intelligence,
as is the case in identifying faces and license plates. As for the developed technology, work …

An effective fuzzy based segmentation and twin attention based convolutional gated recurrent network for skin cancer detection

AK Rai, S Agarwal, S Gupta, G Agarwal - Multimedia Tools and …, 2024 - Springer
Skin cancer is one of the most deadly types of cancer that makes people less aware of the
signs and symptoms. The skin cells are destroyed in people affected by skin cancer, a …

SkinMultiNet: Advancements in Skin Cancer Prediction Using Deep Learning with Web Interface

MNH Likhon, SU Rana, S Akter, MS Ahmed… - Biomedical Materials & …, 2024 - Springer
Cancer remains the leading cause of death worldwide, significantly impacting individuals
and healthcare systems alike. In recent decades, skin cancer has surged in prevalence …

Palembang songket fabric motif image detection with data augmentation based on ResNet using dropout

E Ermatita, H Noprisson, A Abdiansah - Bulletin of Electrical Engineering …, 2024 - beei.org
A good way to spread knowledge about Palembang songket woven cloth patterns is to use
information technology, especially artificial intelligence technology. This study's main goal is …

Enhancing skin cancer classification using a fusion of Densenet and Mobilenet models: a deep learning ensemble approach

MH Imam, N Nahar, MA Rahman, F Rabbi - Multidisciplinary Science …, 2024 - malque.pub
Skin cancer is a condition that causes the formation of abnormal cells in the skin tissue.
Every year, millions of individuals experience skin cancer. Skin cancer identification in its …