Existing and emerging breast cancer detection technologies and its challenges: a review
Breast cancer is the most leading cancer occurring in women and is a significant factor in
female mortality. Early diagnosis of breast cancer with Artificial Intelligent (AI) developments …
female mortality. Early diagnosis of breast cancer with Artificial Intelligent (AI) developments …
recent advances and open challenges in RFID antenna applications
Abstract Ultra-high-frequency (UHF) radio frequency identification (RFID) technology has
been gaining significance with the progression of wireless communication systems and …
been gaining significance with the progression of wireless communication systems and …
Optimized intelligent classifier for early breast cancer detection using ultra-wide band transceiver
Breast cancer is the most common cancer diagnosed in women and the leading cause of
cancer-related deaths among women worldwide. The death rate is high because of the lack …
cancer-related deaths among women worldwide. The death rate is high because of the lack …
Effect of carbon composition on permittivity performance of dielectric material from agricultural waste
RD Giamasrow, AN Azman, N Zainol… - Materials Today …, 2023 - Elsevier
Agriculture in several nations, including Malaysia, yields abundant waste like timber, oil
palm waste, rice husks, coconut fibers, municipal waste, sugarcane residues, and pineapple …
palm waste, rice husks, coconut fibers, municipal waste, sugarcane residues, and pineapple …
Microwave breast tumor localization using wavelet feature extraction and genetic algorithm‐neural network
M Lu, X Xiao, G Liu, H Lu - Medical Physics, 2021 - Wiley Online Library
Abstract Purpose Ultra‐Wide Band (UWB) microwave breast cancer detection is a promising
new technology for routine physical examination and home monitoring. The existing …
new technology for routine physical examination and home monitoring. The existing …
Breast Cancer Diagnosis By IoB Implanted Tag Design And Machine Learning
F Rabee - Al-Salam Journal for Engineering and …, 2023 - journal.alsalam.edu.iq
Breast cancer is one of the worst diseases in the world and the most common cancer
affected by women. Early detection of cancers allows for faster treatments. Recent studies …
affected by women. Early detection of cancers allows for faster treatments. Recent studies …
Applicability of different neural network architectures in UWB signal processing for different object classification
K Greitans, M Greitans - 2022 Workshop on Microwave Theory …, 2022 - ieeexplore.ieee.org
In the paper, the performance of different Artificial neural network (ANN) architectures-CNN,
RNN, Transformers, CNN/LSTM, ResNet, and MLP is discussed in UWB impulse radio radar …
RNN, Transformers, CNN/LSTM, ResNet, and MLP is discussed in UWB impulse radio radar …
Multi-static UWB radar for classification of objects from different materials
K Greitans, M Greitans - 2021 IEEE Microwave Theory and …, 2021 - ieeexplore.ieee.org
This paper evaluates the advantages of Multi-static Ultra-wide band (UWB) radar
architecture for the classification of objects from different materials comparing single-static …
architecture for the classification of objects from different materials comparing single-static …
[PDF][PDF] Breast Cancer Diagnosis By IoB Implanted Tag Design And Machine Learning
HM Salih, F Rabee - Al-Salam Journal for Engineering and Technology, 2023 - iasj.net
Breast cancer is one of the worst diseases in the world and the most common cancer
affected by women. Early detection of cancers allows for faster treatments. Recent studies …
affected by women. Early detection of cancers allows for faster treatments. Recent studies …
Conformance analysis of model for material properties determination using simulation of ultra-wideband pulse radar
G Gaigals, V Aristov, M Greitans - 2021 IEEE Microwave …, 2021 - ieeexplore.ieee.org
This paper describes compliance analysis of the proposed mathematical model for
determination of materials relative permittivity and dielectric losses. The novelty of the …
determination of materials relative permittivity and dielectric losses. The novelty of the …