Abstract: Semantic segmentation is a critical process in remote sensing image analysis, supporting various applications. The recent development of the segment anything model (SAM), a visual foundation ...
When it comes to their expectations for their electricity providers and the management of their household electricity usage, today’s consumers exhibit a wide range of values, behaviors, concerns and ...
When it comes to market segmentation, I don’t see truly well-documented cases often. At a more simplistic level, we think of classic matrices such as BCG or McKinsey’s. But the real exercise of ...
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 ...
From all my years in research and consulting, I think I’ve learned a thing or two about marketing worth sharing. Enduring fundamentals, mostly—yet often overlooked. So, over the course of my biweekly ...
A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...
Delta Air Lines is studying how to segment its premium cabins. The airline could offer different options that are similar to changes it's made in the coach cabin. Other airlines offer more spacious ...
Accra, June 6, GNA – Dr Ibrahim Murtala Muhammed, the Minister of Environment, Science and Technology, has encouraged Ghanaians to embrace attitudinal change to prevent and protect the environment ...
Abstract: Individual tree segmentation from terrestrial laser scanning (TLS) point clouds is essential for precise forest inventory, instance-level tree modeling, and the estimation of forest stock ...
Smarter segmentation starts now. AI connects scattered customer data to allow more precise, real-time audience targeting across every channel. Online meets offline. Linking digital behavior with ...
Researchers have developed and tested an intervention called Counter-Attitudinal Advocacy and compared it to to the well-established Personalized Normative Feedback (PNF) to evaluate their ...