[HTML][HTML] Intelligent breast cancer diagnostic system empowered by deep extreme gradient descent optimization

MBS Khan, MS Nawaz, R Ahmed, MA Khan… - Mathematical …, 2022 - aimspress.com
Cancer is a manifestation of disorders caused by the changes in the body's cells that go far
beyond healthy development as well as stabilization. Breast cancer is a common disease …

Optimizing the economic order quantity using fuzzy theory and machine learning applied to a pharmaceutical framework

K Kalaichelvan, S Ramalingam, PB Dhandapani… - Mathematics, 2024 - mdpi.com
In this article, we present a novel methodology for inventory management in the
pharmaceutical industry, considering the nature of its supply chain. Traditional inventory …

Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review

F Darbanian, P Brandtner… - … and Supply Chain …, 2024 - journal.oscm-forum.org
In recent years, there has been a growing surge of interest in the application of data
analytics (DA) within the realm of supply chain management (SCM), attracting attention from …

Fuzzy Inventory Implementation of Minimum Value unused Storing Profitable by Executing Python

K Kalaiselvan - Decision Making Advances, 2025 - dma-journal.org
Stock management holdings would be required in this scenario to reduce losses and
increase profits. In light of this, we propose in this article that you build a model by combining …

[HTML][HTML] A Hybrid Fuzzy Mathematical Programming Approach for Manufacturing Inventory Models with Partial Trade Credit Policy and Reliability

PB Dhandapani, K Kalaichelvan, V Leiva, C Castro… - Axioms, 2024 - mdpi.com
This study introduces an inventory model for manufacturing that prioritizes product quality
and cost efficiency. Utilizing fuzzy logic and mathematical programming, the model …

Fuzzy Inventory Implementation of Minimum Value Unused Storing Profitable by Python Execution

K Iyappan, MCJ Anand, K Kalaiarasi… - … on Intelligent and Fuzzy …, 2024 - Springer
Stock management holdings would be required in this scenario to reduce losses and
increase profits. In light of this, we proposed a model by combining time series data with …

Fuzzy Inventory Grinding Production Process Optimization for Rotor Manufacturing Using Python and MATLAB

K Iyappan, OM Teraiya, K Kalaiarasi, S Swathi… - … on Intelligent and Fuzzy …, 2024 - Springer
A single-item inventory model for deteriorating items under fuzzy sense is formulated and
solved. In this paper, a methodology for identifying process inventory variables that …

Digitizing DNA Sequences Using Multiset-Based Nucleotide Frequencies for Machine Learning-Based Mutation Detection

S Anjum, S Kousar, N Kausar, N Aydin… - … in Management and …, 2024 - dmame-journal.org
Investigating algebraic structures in a non-conventional framework supplements
mathematics for hard-nosed practical applications to the fields of theoretical biology and …

Revisiting distance metrics in k-nearest neighbors algorithms: Implications for sovereign country credit rating assessments

Aİ Çetin, AH Büyüklü - Thermal Science, 2024 - doiserbia.nb.rs
The k-Nearest Neighbors algorithm, a fundamental machine learning technique, typically
employs the Euclidean distance metric for proximity-based data classification. This research …

Fuzzy Inventory Implementation of Minimum Value Unused Storing Profitable by Python

K Iyappan¹, MCJ Anand, K Kalaiarasi… - Intelligent and Fuzzy …, 2024 - books.google.com
Stock management holdings would be required in this scenario to reduce losses and
increase profits. In light of this, we proposed a model by combining time series data with …