This project segments 9,999 high-value retail customers using RFM (Recency, Frequency, Monetary) methodology. The analysis identifies distinct customer groups and provides targeted business ...

No matter what type(s) of photography you like to pursue, mastering exposure is key to creating successful images. While it can be tempting to use your camera's screen to judge exposure, that display ...

For startups and established businesses, understanding the importance of segmentation is essential for the granular analysis of consumer demographics, behaviors, needs, and preferences. These insights ...

Instance segmentation has been the most challenging task in the field of computer vision, and its techniques are widely used in the fields of intelligent driving, intelligent medical imaging, remote ...

In 2022, Rafael Nadal approached the baseline and began horizontally abducting his right arm to loft a tennis ball approximately 5 feet. He abruptly contacted the inferolateral aspect of the tennis ...

Abstract: Brain malignant growth detection is eased using medical images and machine learning paradigms. This article introduces a differential region-based segmentation method to improve brain tumor ...

This project evaluates 6 Explainable AI (XAI) methods in the context of semantic segmentation for autonomous driving. The evaluation is divided into three phases: Phase 1: Model application using ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Objectives: Oral cavity-derived cancer pathological images (OPI) are crucial for diagnosing oral squamous cell carcinoma (OSCC), but existing deep learning methods for OPI segmentation rely heavily on ...

Abstract: This study introduces a method for material classification using transient histograms obtained via a single-photon avalanche diode (SPAD) sensor. Temporal resolution in optical sensing plays ...