Results 161 to 170 of about 408 (250)
A brief history of Aβ imaging. [PDF]
Cohen AD, Villemagne VL.
europepmc +1 more source
DEEP LEARNING FOR AUTOMATED DETECTION OF BREAST CANCER IN DEEP ULTRAVIOLET FLUORESCENCE IMAGES WITH DIFFUSION PROBABILISTIC MODEL. [PDF]
Ghahfarokhi SS +5 more
europepmc +1 more source
Animating blossom: Time‐lapse to encourage plant awareness in the YouTube era
Time‐lapse videos can effectively capture key traits of flower blossoms, such as color, 3D structure, and temporal changes, making them valuable complements to herbarium specimens and other botanical collections. Despite the abundance of such videos on YouTube, most provide no ecological and botanical insights.
Tae Kyung Yoon
wiley +1 more source
Research on liver cancer pathology image recognition based on deep learning image processing. [PDF]
Yang M, Niu H.
europepmc +1 more source
Target‐site based imidazolinone resistance in brome grass was found to be conferred by a mutation at position 574 in the ALS gene and to severely impact the efficacy of the herbicide Intervix®, a co‐formulation of imazamox and imazapyr. Abstract BACKGROUND Brome grass (Bromus diandrus) is a prevalent weed in southern Australian cropping regions which ...
Roberto Busi +5 more
wiley +1 more source
The power of combined modalities in interactive robot learning. [PDF]
Beierling H, Beierling R, Vollmer AL.
europepmc +1 more source
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
Multi-Granularity Domain Adversarial Learning for Cross-Domain Tea Classification Using Electronic Nose Signals. [PDF]
Wang X, Gu Y.
europepmc +1 more source
This review summarizes the recent progress in responsive NO‐releasing materials and their applications in biofilm‐associated infectious diseases. The design principles and response mechanisms are given to provide inspiration toward the future development of multi‐responsive NO‐releasing materials.
Wenyue Sun +8 more
wiley +1 more source
A Review of Multi-Sensor Fusion in Autonomous Driving. [PDF]
Qian H, Wang M, Zhu M, Wang H.
europepmc +1 more source

