Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods

R Ranjbarzadeh, S Dorosti, SJ Ghoushchi… - Computers in Biology …, 2023 - Elsevier
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 …

[HTML][HTML] Logistic autonomous vehicles assessment using decision support model under spherical fuzzy set integrated Choquet Integral approach

SR Bonab, SJ Ghoushchi, M Deveci… - Expert systems with …, 2023 - Elsevier
Autonomous vehicles (AVs) are the newest products in the intelligent transportation system
that can move around with minimal human intervention. These products continue their path …

Circular economy of medical waste: novel intelligent medical waste management framework based on extension linear Diophantine fuzzy FDOSM and neural network …

XY Chew, KW Khaw, A Alnoor, M Ferasso… - … Science and Pollution …, 2023 - Springer
Environmental pollution has been a major concern for researchers and policymakers. A
number of studies have been conducted to enquire the causes of environmental pollution …

Sustainable resilient supplier selection for IoT implementation based on the integrated BWM and TRUST under spherical fuzzy sets

SR Bonab, G Haseli, H Rajabzadeh… - … in management and …, 2023 - dmame-journal.org
Supplier selection process plays a vital role in supply chain management and is the most
important variable in its success. With increasing environmental considerations …

Exploring Circular economy practices in the healthcare sector: A systematic review and bibliometric analysis

C D'Alessandro, K Szopik-Depczyńska… - Sustainability, 2024 - mdpi.com
The healthcare sector produces 2 gigatons of CO2. To address this impactful trend and
contribute to the Sustainable Development Goals (SDGs), the adoption of circular economy …

Road safety assessment and risks prioritization using an integrated SWARA and MARCOS approach under spherical fuzzy environment

S Jafarzadeh Ghoushchi… - Neural computing and …, 2023 - Springer
There are a lot of elements that make road safety assessment situations unpredictable and
hard to understand. This could put people's lives in danger, hurt the mental health of a …

An integrated SWARA-CODAS decision-making algorithm with spherical fuzzy information for clean energy barriers evaluation

SJ Ghoushchi, H Garg, SR Bonab, A Rahimi - Expert Systems with …, 2023 - Elsevier
Clean energy has various environmental and economic benefits, including reducing air
pollution. Also, due to its characteristics, it can be more compatible with the environment …

Introducing urdu digits dataset with demonstration of an efficient and robust noisy decoder-based pseudo example generator

W Khan, K Raj, T Kumar, AM Roy, B Luo - Symmetry, 2022 - mdpi.com
In the present work, we propose a novel method utilizing only a decoder for generation of
pseudo-examples, which has shown great success in image classification tasks. The …

[HTML][HTML] A dynamic expert system to increase patient satisfaction with an integrated approach of system dynamics, ISM, and ANP methods

J Nazarian-Jashnabadi, SR Bonab, G Haseli… - Expert Systems with …, 2023 - Elsevier
It is unquestionable that health, both individually and collectively, is the most important issue
in life, which is why human beings pay special attention to health maintenance and …

Assessment of sustainable waste management alternatives using the extensions of the base criterion method and combined compromise solution based on the fuzzy …

N Zafaranlouei, SJ Ghoushchi, G Haseli - Environmental Science and …, 2023 - Springer
A number of factors have contributed to the increase in waste production and diversity of
waste, such as the increase in population, alterations in consumption patterns, economic …