[HTML][HTML] Hesitant and uncertain linguistics based executive decision making using risk and regret aversion: Methods, implementation and analysis
Presence of globally-affecting issues, such as the recent COVID-19 pandemic is a major
factor impacting the operation of services provided by high-stake companies. These factors …
factor impacting the operation of services provided by high-stake companies. These factors …
Cognitive Modelling of Bankruptcy Risk: A Comparative Analysis of Machine Learning Models to Predict the Bankruptcy
Machine learning models can assess the financial health of companies and predict the
likelihood of them going bankrupt. Early detection gives companies and stakeholders more …
likelihood of them going bankrupt. Early detection gives companies and stakeholders more …
Analysis of Student Graduation Prediction Using Machine Learning Techniques on an Imbalanced Dataset: An Approach to Address Class Imbalance
Purpose: Machine learning is a key area of artificial intelligence, applicable in various fields,
including the prediction of timely graduation. One method within machine learning is …
including the prediction of timely graduation. One method within machine learning is …
An Ontological Framework for Lung Carcinoma Prognostication via Sophisticated Stacking and Synthetic Minority Oversampling Techniques
MAH Raju, T Imam, J Islam, A Al Rakin… - 2024 IEEE Asia …, 2024 - ieeexplore.ieee.org
Lung cancer remains one of the leading causes of cancer-related mortality worldwide,
predominantly due to its late-stage diagnosis and rapid progression. This study proposes an …
predominantly due to its late-stage diagnosis and rapid progression. This study proposes an …
A Comprehensive Framework for Advanced Machine Learning and Deep Learning Models in Cervical Cancer Prediction
A Al Rakin, MN Nayyem, KS Sharif… - 2024 IEEE Asia …, 2024 - ieeexplore.ieee.org
Cervical cancer is a major public health chal-lenge globally and a leading cause of cancer-
related deaths in women. Early detection significantly improves survival rates. In this study …
related deaths in women. Early detection significantly improves survival rates. In this study …
[PDF][PDF] Recondite Thyroid Pathology Prediction: Hermeneutic Integration of Neural and Machine Learning Architectures
MDSH Sabuj, T Imam, J Islam, S Sultana, MS Uddin… - researchgate.net
Thyroid issues are increasingly prevalent, making early detection crucial for reducing
mortality and complications. Accurate disease progression estimation and understanding …
mortality and complications. Accurate disease progression estimation and understanding …
[PDF][PDF] Epistemological Advancements in Cardiological Forecasting: Machine Learning as a Paradigm for Prognostic Precision
B Uddin, MS Uddin, S Sultana, MDSH Sabuj, FF Neha… - researchgate.net
Cardiovascular disease (CVD) constitutes a heterogeneous ensemble of pathological
conditions impacting the heart and vasculature, encompassing a multitude of disorders …
conditions impacting the heart and vasculature, encompassing a multitude of disorders …
[PDF][PDF] Analyzing Neuroimaging Epiphenomena: Machine Learning Approaches in Alzheimer's Prognostication
S Sultana, B Uddin, MS Uddin, MDS Uddin, F Karim… - researchgate.net
Alzheimer's Disease (AD) constitutes a progressive neurodegenerative pathology that
undermines cognitive faculties, mnemonic capacity, and the aptitude for executing quotidian …
undermines cognitive faculties, mnemonic capacity, and the aptitude for executing quotidian …
[PDF][PDF] Deciphering Oncological Recurrence through Hybridized Machine Learning Paradigms in Thyroid Disorders
S Sultana, MDS Uddin, B Uddin, MS Uddin, FF Neha - researchgate.net
Thyroid disorders are manifesting with increasing frequency, rendering early identification
indispensable for mitigating mortality and associated complications. Precise estimation of …
indispensable for mitigating mortality and associated complications. Precise estimation of …
[PDF][PDF] Hierarchical Superiority of Machine Learning Ensembles in Diabetes Risk Apprehension: A Granular Analytical Perspective
J Islam, T Imam, S Sultana, MDSH Sabuj, MS Uddin… - researchgate.net
Diabetes is a prevalent chronic disease that significantly impacts public health, contributing
to increased morbidity and healthcare costs worldwide. Accurate prediction of diabetes risk …
to increased morbidity and healthcare costs worldwide. Accurate prediction of diabetes risk …