K. Lim

MS-RBC: A Range Bias Correction Method for Saturated Returns in Multiwavelength Underwater LiDAR

Multiwavelength underwater LiDAR can simultaneously provide 3-D geometric and spectral information for precise seafloor topography mapping and benthic habitat characterization. However, achieving both high-ranging accuracy and cross-wavelength ranging consistency remains challenging. Systems employing a supercontinuum...

A Survey on Vision Transformers: Design Pressures, Architectural Taxonomy, and Future Outlook

Vision Transformers (ViTs) have developed from a patch-based alternative to convolutional backbones into a diverse architectural family spanning tokenization, attention reformulation, hierarchy construction, hybrid design, token economy, and training-oriented regularization. As this literature has matured, the main que...

Diffusion-inspired prototypical network for few-shot fine-grained classification

Churn Prediction and Risk Profiling Using Machine Learning and Customer Segmentation

Customer churn occurs when they stop doing business with a company, leading to the loss of customers. Customer churn prediction has become a significant technique for identifying customers who are about to churn. The proposed method begins with data preprocessing, involving the standardization of data types and the imp...

AM-DANet: Additive margin with dynamic augmentation network for speaker identification

Speaker identification is a critical enabler for operational intelligence and personalized customer engagement, yet it remains challenging due to background noise interference, data scarcity under limited training conditions, and the need to generalize across large and diverse speaker populations. Traditional methods r...