A new study introduces a universal two-stage method that successfully segments plant stems and leaves across both monocotyledonous and dicotyledonous crops.
Land use and land cover (LULC) information underpins studies in climate science, disaster management, food security, and ...
By ingesting massive amounts of data, AI has revolutionized historical preservation by enabling the creation of detailed 3D ...
Experts from Beckhoff and Wago weigh in on tackling I/O complexity to ensure the highest levels of system performance, ...
Tech Xplore on MSN
Developing an autonomous crack segmentation and exploration system for civil infrastructure
Identifying cracks is critical for the monitoring of civil infrastructure. To enhance inspection efficiency, a proposed ...
A deep learning framework enhances personalized advertising by combining reinforcement learning, sentiment analysis, and user behavior ...
Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...
Researchers at University of Tsukuba have developed DeMemSeg, an AI-powered analysis pipeline that addresses a long-standing ...
This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback