A research team introduces a scalable, drone-based 3D reconstruction pipeline combined with a novel deep learning framework—SegVoteNet—to phenotype sorghum panicles in field trials.
A research team at UCLA, led by Professor Aydogan Ozcan, has introduced BlurryScope, a compact, cost-effective scanning microscope that combines simple optical hardware with advanced deep learning ...
1 College of Mathematics and Computer Science, Chifeng University, Chifeng, China 2 General Surgery Thoracic Surgery, Chifeng Songshan Hospital, Chifeng, China Introduction: Breast cancer stands is a ...
CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...
Learn how DenseNet works and why it’s a powerful architecture in deep learning. This tutorial breaks down DenseNet’s key concepts, including dense connections, feature reuse, and parameter efficiency ...
Researchers have introduced a transformative deep learning-based framework that could redefine the future of wireless communications. Their work addresses the critical issue of signal detection in ...
Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...
What if you could build an AI system capable of not just completing simple tasks but orchestrating complex, multi-step operations with the finesse of a seasoned strategist? Enter the world of AI deep ...
Abstract: The increasing complexity and volume of financial and behavioral data in modern credit scoring and risk assessment present significant challenges to traditional modeling methods. Existing ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback