CENIEH co-leads a pioneering study that, for the first time, applies hyperspectral imaging to effectively discriminate rock blocks, sediment ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

Unlock next-level RAG performance with Jina v4, the embedding model designed for precision, efficiency, and complex data ...

Innovative advances in digitalisation will help pave the way ahead for the future sustainable hydropower industry ...

Most Australian adults are confused about what ultra-processed foods (UPFs) are and often misidentify them based on packaging ...

In this paper, we propose a new method for CT pathological image analysis of brain and chest to extract image features and classify images. Because the deep neural network needs a large number of ...

The capabilities of artificial intelligence (AI) have been overhyped in several areas, leading to unrealistic expectations of ...

Computer vision has revolutionized image analysis by enabling automated recognition and interpretation of complex visual data. This study delves into recent advancements in deep learning, focusing on ...

Fiber-optic ATR-IR spectroscopy enables real-time liver tumor classification during surgery, offering faster and more ...

PhoSim simulates the atmosphere, including air turbulence, as well as distortions from the shape of the telescope’s mirrors and the electrical properties of the sensors. The photons are propagated ...