[PDF][PDF] Machine Learning and Deep Learning Models for Demand Forecasting in Supply Chain Management: A Critical Review.
K Douaioui, R Oucheikh… - Applied System …, 2024 - pdfs.semanticscholar.org
This paper presents a comprehensive review of machine learning (ML) and deep learning
(DL) models used for demand forecasting in supply chain management. By analyzing 119 …
(DL) models used for demand forecasting in supply chain management. By analyzing 119 …
Benefits, challenges, and limitations of inventory control using machine learning algorithms: literature review
This article presents a comprehensive review of the literature on the benefits, challenges,
and limitations of using machine learning (ML) algorithms in inventory control, focusing on …
and limitations of using machine learning (ML) algorithms in inventory control, focusing on …
Remix-based Real Time Blood Bank Communication Integrating Access Control Using XGBoost and Supabase
R Ch - 2024 IEEE Students Conference on Engineering and …, 2024 - ieeexplore.ieee.org
A blood bank keeps blood in reserve so that it can be transfused later. To quickly obtain the
necessary blood type in emergency scenarios, users must be able to locate the closest …
necessary blood type in emergency scenarios, users must be able to locate the closest …
Big Data—Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques
This article systematically identifies and comparatively analyzes state-of-the-art supply chain
(SC) forecasting strategies and technologies within a specific timeframe, encompassing a …
(SC) forecasting strategies and technologies within a specific timeframe, encompassing a …
Supervised learning techniques for blood product prediction in patients with hematologic diseases: a multi-centre study in Western Algeria
Blood transfusion is a medical procedure that involves transfusing blood or one of its
components from one or more donors into a patient. Digital technology and machine …
components from one or more donors into a patient. Digital technology and machine …
Blood Product Prediction Using Supervised Machine Learning
Y Amel, LN Selma, B Menaouer - International Conference on Artificial …, 2023 - Springer
Blood transfusion is a medical act that involves transfusing blood or one of its components
from one or more donors into a patient. Digital technology and machine learning have …
from one or more donors into a patient. Digital technology and machine learning have …
Blood Product Prediction Using Supervised
YALN Selma, B Menaouer - … of Renewable Energy Systems and Micro … - books.google.com
Blood transfusion is a medical act that involves transfusing blood or one of its components
from one or more donors into a patient. Digital technology and machine learning have …
from one or more donors into a patient. Digital technology and machine learning have …