Abstract: Semi-supervised learning methods based on the mean teacher model have achieved great success in the field of 3-D medical image segmentation. However, most of the existing methods provide ...

Abstract: Customer churn is a critical issue in the telecommunication (Telecom) industry, leading to significant revenue loss and increased customer acquisition costs. To address this, a project was ...

Abstract: Sentiment analysis of customer reviews is crucial for understanding consumer feedback and improving business strategies in the e-commerce sector. This study proposes an enhanced deep ...

Abstract: Customer satisfaction in the airline industry is influenced by demographic, service-related, and operational factors. As competition grows and passenger expectations evolve, understanding ...

Abstract: This research investigates the application of Recurrent Neural Networks (RNNs), specifically Long Short-Term Memory (LSTM) networks, paired with gradient-based optimization techniques for ...

Abstract: Dense segmentation tasks, including semantic, instance, and panoptic segmentation, are essential for improving our comprehension of urban landscapes. This paper examines various deep ...

Abstract: The telecoms sector receives massive amounts of data every day from its vast population of customers. Here, acquiring additional customers is more expensive than retaining existing ones.

Abstract: In the dynamic and fiercely competitive landscape of the telecommunications industry, customer churn prediction poses a significant challenge due to the continuously evolving customer ...

Abstract: The current variants of the Segment Anything Model (SAM), which include the original SAM and Medical SAM, still lack the capability to produce sufficiently accurate segmentation for medical ...