A review of explainable artificial intelligence in supply chain management using neurosymbolic approaches

EE Kosasih, E Papadakis, G Baryannis… - International Journal of …, 2024 - Taylor & Francis
Artificial Intelligence (AI) has emerged as a complementary technology in supply chain
research. However, the majority of AI approaches explored in this context afford little to no …

[Retracted] Effective Image Processing and Segmentation‐Based Machine Learning Techniques for Diagnosis of Breast Cancer

S Chaudhury, AN Krishna, S Gupta… - … Methods in Medicine, 2022 - Wiley Online Library
Breast cancer is the second leading cause of death among women, behind only heart
disease. However, despite the high incidence and mortality rates associated with breast …

[HTML][HTML] Flood prediction with time series data mining: Systematic review

DK Hakim, R Gernowo, AW Nirwansyah - Natural Hazards Research, 2023 - Elsevier
The global community is continuously working to minimize the impact of disasters through
various actions, including earth surveying. For example, flood-prone areas must be …

Network mining techniques to analyze the risk of the occupational accident via bayesian network

NR Nayak, S Kumar, D Gupta, A Suri, M Naved… - International Journal of …, 2022 - Springer
Today, as the construction industry grows, the frequency of occupational accidents has risen
as well. The advancement of technology, inadequacies in workplace safety procedures, and …

[Retracted] Assessment of Mental Workload by Visual Motor Activity among Control Group and Patient Suffering from Depressive Disorder

G Murugesan, TI Ahmed, M Shabaz… - Computational …, 2022 - Wiley Online Library
Major depressive disorder (MDD) is a mood state that is not usually associated with vision
problems. Recent research has found that the inhibitory neurotransmitter GABA levels in the …

Spatial modeling of flood hazard using machine learning and GIS in Ha Tinh province, Vietnam

HD Nguyen - Journal of Water and Climate Change, 2023 - iwaponline.com
The objective of this study was the development of an approach based on machine learning
and GIS, namely Adaptive Neuro-Fuzzy Inference System (ANFIS), Gradient-Based …

[Retracted] Supervised Computer‐Aided Diagnosis (CAD) Methods for Classifying Alzheimer's Disease‐Based Neurodegenerative Disorders

S Gupta, V Saravanan, A Choudhury… - … Methods in Medicine, 2022 - Wiley Online Library
Alzheimer's disease is incurable at the moment. If it can be appropriately diagnosed, the
correct treatment can postpone the patient's illness. To aid in the diagnosis of Alzheimer's …

Bank Soundness Level Prediction: ANFIS vs Deep Learning

SN Maharani, B Sugeng… - Journal of Applied …, 2023 - bright-journal.org
The systemic nature of the risk of bankruptcy of financial institutions has become an
important issue in maintaining the existence and stability of domestic and global finance …

Integrating hydraulic flow unit concept and adaptive neuro-fuzzy inference system to accurately estimate permeability in heterogeneous reservoirs: Case study Sif …

F Djebbas, O Ameur-Zaimeche, R Kechiched… - Journal of African Earth …, 2023 - Elsevier
Formation characteristics are a crucial requirement for reservoir modeling and they need to
be constantly updated as new static and/or dynamic reservoir-property details become …

[Retracted] PSO‐Based Evolutionary Approach to Optimize Head and Neck Biomedical Image to Detect Mesothelioma Cancer

S Praveen, N Tyagi, B Singh, GR Karetla… - BioMed Research …, 2022 - Wiley Online Library
Mesothelioma is a form of cancer that is aggressive and fatal. It is a thin layer of tissue that
covers the majority of the patient's internal organs. The treatments are available; however, a …