IEEE

A Multimodal Semantic Segmentation Framework for Heterogeneous Optical and Complex SAR Data

Abstract: The advancement of remote sensing technology has led to a progressive enhancement in the resolution of remote sensing data, offering a multiperspective approach to Earth observation and ...
IEEE

Learning Domain Generalized Remote Sensing Image Segmentation by Multiscale Instance Disentanglement

Abstract: Remote sensing image segmentation is a fundamental task in Earth observation. Rapid development has been made in the past decade owing to the deep learning techniques. Most of the existing ...
IEEE

More Unlabeled Data Does Matter: A Full-Cycle Framework for Semi-Supervised Semantic Segmentation of Remote Sensing Images

Abstract: Semi-supervised semantic segmentation has gained considerable attention due to its ability to leverage large amounts of unlabeled data to enhance model generalization. Although increasing ...
IEEE

Cluster Boost: Stacked Machine Learning Model for Customer Behaviour Analysis in E-commerce

Abstract: This study focuses on the development of a stacked model, named Cluster Boost, which integrates K-means clustering and Gradient Boosting to analyse customer behaviour in e-commerce. Cluster ...
IEEE

Enhancing Customer Retention: A Federated Machine Learning Framework for Banking Churn Prediction

Abstract: Customer attrition has become the significant challenge for the bank, making large volume of customers to migrate to other banks, as the banks keeps providing multiple benefits to the ...
IEEE

Forest Fire Forecasting Leveraging Modis Satellite Fire Data Using Machine Learning For Jharkhand State, India

Abstract: Forest fires pose significant environmental and economic threats, necessitating robust predictive models for better management and prevention. This study focuses on the temporal and spatial ...
IEEE

Enhancing Nucleus and Cytoplasm Segmentation in Cervical Cytology Using Deep Learning

Abstract: Cervical cancer, with over 660,000 cases in 2022, ranks as the fourth most frequent malignancy in women globally, with low- and middle-income nations accounting for approximately 94% of the ...
IEEE

Analyzing Customer Feedback on Amazon to Reveal Sentiment Trends using Machine Learning

Abstract: Online reviews on platforms like Amazon provide valuable insights into customer experiences, but manually processing this data is time-consuming and impractical. This paper “Analyzing ...
IEEE

Land Cover Segmentation for Agricultural Monitoring Using Synthetic Aperture Radar (SAR) Imagery with Convolutional Neural Networks and Attention-Based Transformer Models

Abstract: Automated classification of land cover types is one of the most crucial aspects within many remote sensing applications, including the monitoring of agricultural land and territories. This ...
IEEE

Customer Segmentation using Mini Batch K-Means Clustering Algorithm

Abstract: Today, especially in this era of data, everything is becoming more mechanized. Data is the new electricity of the globe. This knowledge may help a lot of businesses in their marketing ...
IEEE

Demographic and Psychographic Customer Segmentation Analysis for Business Enrichment Using Data Science: A Case Study on Mobile Handset Market

Abstract: In present's competitive mobile handset market, understanding client preferences is critical to strategic business growth. This exploration employs Aspect-Based Analysis integrating ...
IEEE

Machine Learning Insights for Predicting Customer Behavior in Online Retail

Abstract: The research work reports a comprehensive analysis of predictive analytics of customer behavior on e-commerce based on high-end data science and artificial intelligence techniques. The ...