UNSW researchers have developed a thermal-aware tracking algorithm that reduces solar module temperatures and UV exposure during inverter clipping and curtailment, slowing degradation without lowering ...

Abstract: Computer-aided medical image segmentation helps to assist physicians in locating lesion area for the subsequent diagnosis and treatment. Due to the irregular shape of the target and the ...

Abstract: The Great Wall Construction Algorithm (GWCA) is an innovative meta-heuristic algorithm for solving engineering challenges. Parallel strategies are an effective approach to enhancing the ...

MATLAB, short for Matrix Laboratory, is a high-level programming language and software environment developed by MathWorks. It excels in numerical computation, data analysis, and algorithm development.

Objective: To assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s ...

U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Debuted with Apple Intelligence and iOS 18.2, Image Playground lets you generate fun & original AI images using prompts. It’s built into several first-party apps like Notes & Messages, and even ...

The manuscript introduces an important and innovative non-AI computational method for segmenting noisy grayscale images, with a particular focus on identifying immunostained potassium ion channel ...