Learn how multi-location brands fix complex marketing & GBP challenges with an AI layer and a 4-step local optimization ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

There are several blind spots that companies face on the way to quantum readiness, but boards can work to resolve these.

Abstract: Noisy image segmentation using fuzzy c-means clustering (FCM) algorithm is an important direction in the field of image segmentation, among which FCM using local information or nonlocal ...

Abstract: The possibilistic c-means (PCM) clustering is an important unsupervised pattern recognition method. However, it is still faced with huge challenges in clustering multidimensional data with ...

Why was the dataset created? Embrapa WGISD (Wine Grape Instance Segmentation Dataset) was created to provide images and annotation to study object detection and instance segmentation for image-based ...

Research on specific domain question-answering technology has become important with the increasing demand for intelligent question-answering systems. This paper proposes a domain question-answering ...

This code was developed as part of Jessica Chan’s master’s thesis in Dr Hyonny Kim’s lab at UC San Diego. The code takes pulse-echo ultrasonic C-scan data in character delimited formats (.csv, .txt, ...

With the development of bionic computer vision for images processing, researchers have easily obtained high-resolution zoom sensing images. The development of drones equipped with high-definition ...

The high prevalence of polycystic ovary syndrome (PCOS) among reproductive-aged women has attracted more and more attention. As a common disorder that is likely to threaten women’s health physically ...