Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods
Abstract The Global Cancer Statistics 2020 reported breast cancer (BC) as the most
common diagnosis of cancer type. Therefore, early detection of such type of cancer would …
common diagnosis of cancer type. Therefore, early detection of such type of cancer would …
ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition
R Ranjbarzadeh, S Jafarzadeh Ghoushchi… - Artificial Intelligence …, 2023 - Springer
Breast tumor segmentation and recognition from mammograms play a key role in healthcare
and treatment services. As different tumors in mammography have dissimilar densities …
and treatment services. As different tumors in mammography have dissimilar densities …
Evaluation of electrical efficiency of photovoltaic thermal solar collector
MH Ahmadi, A Baghban, M Sadeghzadeh… - Engineering …, 2020 - Taylor & Francis
In this study, machine learning methods of artificial neural networks (ANNs), least squares
support vector machines (LSSVM), and neuro-fuzzy are used for advancing prediction …
support vector machines (LSSVM), and neuro-fuzzy are used for advancing prediction …
A deep learning approach for robust, multi-oriented, and curved text detection
R Ranjbarzadeh, S Jafarzadeh Ghoushchi, S Anari… - Cognitive …, 2024 - Springer
Automatic text localization and segmentation in a normal environment with vertical or curved
texts are core elements of numerous tasks comprising the identification of vehicles and self …
texts are core elements of numerous tasks comprising the identification of vehicles and self …
Support vector machines-based heart disease diagnosis using feature subset, wrapping selection and extraction methods
SMS Shah, FA Shah, SA Hussain, S Batool - Computers & Electrical …, 2020 - Elsevier
Heart disease is one of the leading causes of human death and in the absence of an
accurate diagnosis, there are limitations to beat it. In this research, an automatic diagnostic …
accurate diagnosis, there are limitations to beat it. In this research, an automatic diagnostic …
[HTML][HTML] An insight into tetracycline photocatalytic degradation by MOFs using the artificial intelligence technique
M Gheytanzadeh, A Baghban, S Habibzadeh… - Scientific Reports, 2022 - nature.com
Tetracyclines (TCs) have been extensively used for humans and animal diseases treatment
and livestock growth promotion. The consumption of such antibiotics has been ever-growing …
and livestock growth promotion. The consumption of such antibiotics has been ever-growing …
[HTML][HTML] Modeling solubility of CO2–N2 gas mixtures in aqueous electrolyte systems using artificial intelligence techniques and equations of state
R Nakhaei-Kohani, E Taslimi-Renani… - Scientific Reports, 2022 - nature.com
Determining the solubility of non-hydrocarbon gases such as carbon dioxide (CO2) and
nitrogen (N2) in water and brine is one of the most controversial challenges in the oil and …
nitrogen (N2) in water and brine is one of the most controversial challenges in the oil and …
Real-time dynamic prediction model of NOx emission of coal-fired boilers under variable load conditions
T Yang, K Ma, Y Lv, Y Bai - Fuel, 2020 - Elsevier
This study focuses on the problem of predicting nitrogen oxide (NO x) concentration at the
inlet of selective catalytic reduction (SCR) reactors under variable load conditions of thermal …
inlet of selective catalytic reduction (SCR) reactors under variable load conditions of thermal …
Rigorous modeling of CO2 equilibrium absorption in ionic liquids
A Baghban, AH Mohammadi, MS Taleghani - International Journal of …, 2017 - Elsevier
Over the past few decades, solution of high amount of carbon dioxide in ionic liquids (ILs)
has been the object of extensive studies. It is believed that ILs can be applied to capture CO …
has been the object of extensive studies. It is believed that ILs can be applied to capture CO …
[HTML][HTML] Entropy generation analysis for hydromagnetic two-layered pulsatile immiscible flow with Joule heating and first-order chemical reaction
K Goyal, S Srinivas - Case Studies in Thermal Engineering, 2023 - Elsevier
The current research deals with the MHD pulsating flow of two immiscible liquid layers with
joule heating and first-order chemical reaction. The channel is partitioned into two regions …
joule heating and first-order chemical reaction. The channel is partitioned into two regions …