Results 101 to 110 of about 1,457,631 (249)
Vision transformer for contrastive clustering
Knowledge-Based SystemsVision Transformer (ViT) has shown its advantages over the convolutional neural network (CNN) with its ability to capture global long-range dependencies for visual representation learning. Besides ViT, contrastive learning is another popular research topic recently. While previous contrastive learning works are mostly based on CNNs, some recent studies
Hua-Bao Ling +5 more
openaire +3 more sources
Advanced Functional Materials, EarlyView.The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
Simulation of dielectric frequency response of transformer insulation system
, 2013 Frequency domain spectroscopy has been widely used to monitor the condition of insulation system in power transformers. For a core type of transformer, a simplified XY model of a duct has been developed which allows one to examine the contribution from ...
Yu, Guo, Chen, George
core +1 more source
Vision Transformer Adapters for Generalizable Multitask Learning [PDF]
, 2023 We introduce the first multitasking vision transformer adapters that learn generalizable task affinities which can be applied to novel tasks and domains.
Bhattacharjee, Deblina +2 more
core +2 more sources
Machine learning models in evaluating the malignancy risk of ovarian tumors: a comparative study
Journal of Ovarian ResearchObjectives The study aimed to compare the diagnostic efficacy of the machine learning models with expert subjective assessment (SA) in assessing the malignancy risk of ovarian tumors using transvaginal ultrasound (TVUS).
Xin He +3 more
doaj +1 more source
DeepFake Video Detection using Vision Transformer [PDF]
International Journal of Intelligent Computing and Information SciencesTechnology is always a double-edged sword, and with the astonishing advancements in technology, it is expected that the DeepFake problem will become more common and serious.
Shereen Hussien, Seif Mohamed
doaj +1 more source
Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices
Advanced Functional Materials, EarlyView.This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies +2 more
wiley +1 more source
Frequency-aware vision transformers for high-fidelity super-resolution of Earth system models
Scientific ReportsSuper-resolution can play an essential role in enhancing the spatial fidelity of Earth System Model outputs, allowing fine-scale structures highly beneficial to climate science to be recovered from coarse simulations.
Ehsan Zeraatkar +2 more
doaj +1 more source
Cocoa Ripeness Classification Using Vision Transformer
Journal of Applied Engineering and Technological ScienceThe quality of manual methods for assessing the ripeness of cocoa pods is subjective and varies from one person to another because of the intense labor required and variation of light and background conditions within the field. This research implemented
Febryanti Sthevanie +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Eu‐doped {ZnCdO/ZnO} structures grown on Si are developed, showcasing dual‐functionality controlled by europium doping. While high europium concentration transforms the device into an ultrafast, self‐powered photodetector, low‐doped structures can be used as an optoelectronic synapse.
Igor Perlikowski +3 more
wiley +1 more source