Skin cancer detection: a review using deep learning techniques
Skin cancer is one of the most dangerous forms of cancer. Skin cancer is caused by un-
repaired deoxyribonucleic acid (DNA) in skin cells, which generate genetic defects or …
repaired deoxyribonucleic acid (DNA) in skin cells, which generate genetic defects or …
Decoding skin cancer classification: perspectives, insights, and advances through researchers' lens
Skin cancer is a significant global health concern, with timely and accurate diagnosis
playing a critical role in improving patient outcomes. In recent years, computer-aided …
playing a critical role in improving patient outcomes. In recent years, computer-aided …
Heuristic techniques to optimize neural network architecture in manufacturing applications
C Ciancio, G Ambrogio, F Gagliardi… - Neural Computing and …, 2016 - Springer
Nowadays application of neural networks in the manufacturing field is widely assessed even
if this type of problem is typically characterized by an insufficient availability of data for a …
if this type of problem is typically characterized by an insufficient availability of data for a …
Flow data forecasting for the junction flow using artificial neural network
The present study aims to predict the flow characteristics downstream of a cylinder, which is
the result of junction flow using an Artificial Neural Network (ANN) algorithm. The training …
the result of junction flow using an Artificial Neural Network (ANN) algorithm. The training …
Low power architecture for fall detection system
TKH Nguyen - 2015 - theses.hal.science
Nowadays, fall detection is a major challenge in the public health care domain, especially
for the elderly living alone and rehabilitants in hospitals. This thesis presents an exploration …
for the elderly living alone and rehabilitants in hospitals. This thesis presents an exploration …
[PDF][PDF] Wind speed estimation for missing wind data with three different backpropagation algorithms
In this study, wind data acquired from Tokat province located in the Central Black Sea
section of the Black Sea region of Turkey were used to estimate wind speed by using …
section of the Black Sea region of Turkey were used to estimate wind speed by using …
A comparative study of breast cancer diagnosis based on neural network ensemble via improved training algorithms
H Azami, J Escudero - … Conference of the IEEE Engineering in …, 2015 - ieeexplore.ieee.org
Breast cancer is one of the most common types of cancer in women all over the world. Early
diagnosis of this kind of cancer can significantly increase the chances of long-term survival …
diagnosis of this kind of cancer can significantly increase the chances of long-term survival …
AI Applications in Analyzing Gene Expression for Cancer Diagnosis: A Comprehensive Review
P Agrawal, G Kaur, V Gupta, K Agarwal… - Genomics at the …, 2025 - Wiley Online Library
In the domain of cancer detection, machine learning (ML), deep learning (DL), and transfer
learning (TL) have become innovative instruments that hold great promise for early …
learning (TL) have become innovative instruments that hold great promise for early …
Deep Learning Based Software-Defined Indoor Environment for Space-time Coded Wireless Communication Using Reconfigurable Intelligent Surfaces.
AO Ojo, OI Esan, OO Omitola - International Journal of …, 2022 - search.ebscohost.com
In the domain of wireless communication, the demand for high-speed data communication is
at an all-time high as a result of proliferation of data intensive applications. Users not only …
at an all-time high as a result of proliferation of data intensive applications. Users not only …
A comparative study of MLP networks using backpropagation algorithms in electrical equipment thermography
Nowadays, infrared thermographic inspection has increasingly been utilized for fault
diagnosis tools of electrical equipment, because it maintains non-interrupting operation of …
diagnosis tools of electrical equipment, because it maintains non-interrupting operation of …