[HTML][HTML] Supply chain risk management: A content analysis-based review of existing and emerging topics

A Emrouznejad, S Abbasi, Ç Sıcakyüz - Supply Chain Analytics, 2023 - Elsevier
This paper presents a systematic review of the literature on Supply Chain Risk (SCR)
research, focusing on content-based analysis. The study comprehensively examines the …

Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model

S Hossain, S Azam, S Montaha, A Karim, SS Chowa… - Heliyon, 2023 - cell.com
Introduction Breast cancer stands as the second most deadly form of cancer among women
worldwide. Early diagnosis and treatment can significantly mitigate mortality rates. Purpose …

Implementing blockchain and deep learning in the development of an educational digital twin

NK Dewangan, P Chandrakar - Soft Computing, 2024 - Springer
The education sector is a rapidly growing global infrastructure for human resources. It is an
essential and sensitive data-containing sector where sensitive private information about the …

Analysis of circular economy barriers in manufacturing context for indian industries: a BWM ranking process

M Sharma, NL Jain, JK Purohit - Environment, Development and …, 2024 - Springer
In the era circular economy, a nation's ability to sustainably grow its manufacturing sector is
crucial for overall economic development. Therefore, in order to make the industrial sector …

[HTML][HTML] Supply chain network design concerning economy and environmental sustainability: Crisis perspective

S Abbasi, S Abbaspour, MEN Siahkoohi, MY Sorkhi… - Results in …, 2024 - Elsevier
This paper proposes a GSCND that combines environmental, energy, and economic
sustainability aspects of the crisis. Global SCs have been disrupted by the epidemic …

Recycling of waste materials based on decision support system using picture fuzzy Dombi Bonferroni means

A Hussain, X Zhu, K Ullah, Tehreem, D Pamucar… - Soft Computing, 2024 - Springer
A picture fuzzy set (PFS) is the extended version of an intuitionistic fuzzy set (IFS) and can
deal with dubious and imprecision information. Dombi aggregation models are powerful …

Replacement of failed items in a two commodity retrial queueing-inventory system with multi-component demand and vacation interruption

K Jeganathan, VA Koffer, K Lakshmanan… - Heliyon, 2024 - cell.com
This study investigates a crucial aspect of inventory management, which is the process of
replacing failed items. In dynamic commercial environments, it is essential to efficiently and …

Environmental impacts of fertilization during rice production in saline-alkali paddy fields based on life cycle assessment

X Wang, H Zhu, S Hou, H Cui, B Yan - Journal of Cleaner Production, 2024 - Elsevier
While increasing rice yield, the irrational application of nitrogen fertilizers in paddy fields
leads to diverse environmental impacts. However, there exists a dearth of comprehensive …

Dynamic optimization of blood collection strategies from different potential donors using rolling horizon planning approach under uncertainty

SM Hosseini-Motlagh, MRG Samani, M Faraji - Computers & Industrial …, 2024 - Elsevier
Dynamic blood collection planning is crucial for adjusting strategies in response to varied
donors' behavior within the dynamic urban environment, which can be utilized to mitigate …

Sentiment score-based classification for fake news using machine learning and LSTM-BiLSTM

P Narang, AV Singh, H Monga - Soft Computing, 2024 - Springer
Fake news creates social turbulence, which may hamper our social or economic equilibrium.
Researchers have harnessed machine learning (ML) and deep learning (DL) algorithms to …