IEEE

Data-Driven Customer Segmentation in E-Commerce using K-Means Clustering for Personalized Marketing Strategies

Abstract: With the big data era, precision marketing in e-commerce has become ever more important in order to target prospective customers with high relevance. The present research focuses on applying ...
IEEE

Software Estimation Process Improvement using Data Segmentation

Abstract: Estimating software development effort holds pivotal significance in the domains of resource allocation, budgeting, and project planning. Despite this importance, achieving precise ...
IEEE

Optimized Ensemble Learning for Semantic Segmentation of Satellite Imagery Using DeepLabV3+ and UNet With PSO and Cross-Dataset Evaluation

Abstract: Semantic segmentation is critical in remote sensing applications such as urban planning, disaster management, and environmental monitoring. However, segmenting complex satellite images ...
IEEE

Machine Learning and Deep Learning for Loan Prediction in Banking: Exploring Ensemble Methods and Data Balancing

Abstract: The prediction of loan defaults is crucial for banks and financial institutions due to its impact on earnings, and it also plays a significant role in shaping credit scores. This task is a ...
IEEE

Machine Learning for Multi-Class Kidney Tumour Segmentation: Advancing Classification Accuracy

Abstract: Appropriate treatment planning depends heavily on early detection together with accurate sectioning of kidney tumours. The research design introduces a deep learning architecture which ...
IEEE

Supplier Segmentation in Large Enterprises: A Supervised Machine Learning Approach

Abstract: With today’s extensive outsourcing practices, the role of supplier relationship management (SRM) in supply chain management (SCM) has never been more critical. This study investigates the ...
IEEE

Land-Cover Semantic Segmentation for Very-High-Resolution Remote Sensing Imagery Using Deep Transfer Learning and Active Contour Loss

Abstract: An accurate land-cover segmentation of very-high-resolution aerial images is essential for a wide range of applications, including urban planning and natural resource management. However, ...
IEEE

Efficient Machine Learning-Based Semantic Segmentation Algorithm for Consumer-Grade AAV Remote Sensing

Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...
IEEE

Customer Analytics: Using Machine Learning to Predict the Customer Life Time Value (CLTV) Based on Purchase History and Ratings

Abstract: Customer Life Time Value (CLTV) is a vital customer analytics metric that is intended to inform companies on the right investment in customer acquisition, retention, and engagement.
IEEE

Predicting Customer Churn Rate Using Machine Learning

Abstract: Customer churn prediction is essential for businesses aiming to retain their customer base in competitive markets. This study leverages machine learning to predict customer churn, employing ...
IEEE

Adaptive Pricing Optimization and Customer Segmentation at the 20 kV Distribution Level: A Machine Learning Framework Leveraging SCADA Data from 150/20 kV Power Transformers

Abstract: This paper addresses the challenge of implementing cost-reflective e lectricity p ricing inm arkets w ith limited Advanced Metering Infrastructure (AMI) coverage. A machine learning ...
IEEE

Segmentation and Detection of Liver Tumors from CT Scans using TransUNet Architecture in Deep Learning

Abstract: Globally, liver tumors and the third major cancer killer and sixth common disease. They occur mostly in people who take tobacco or alcohol very often. These factors are responsible for ...