Results 81 to 90 of about 1,532,491 (274)
Adaptive Gaze Estimation With Extended Memorization
IEEE AccessAppearance-based gaze estimation still lacks generalizability due to anatomical and appe- arance differences at the human level. Their performance deteriorates significantly during cross-person evaluation and even more during cross-dataset evaluation ...
Jan Glinko
doaj +1 more source
Advanced Functional Materials, EarlyView.Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi +5 more
wiley +1 more source
IEEE AccessAttribute-image person re-identification (AIPR) is a meaningful and challenging task to retrieve images based on attribute descriptions. In this paper, we propose a regularized dual modal meta metric learning (RDM3L) method for AIPR, which employs meta ...
Xianri Xu, Rongxian Xu
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Advanced Functional Materials, EarlyView.Modular diffractive deep neural network metasurfaces encode and reconstruct holograms across layer combinations and wavelengths, enabling secure, multifunctional operation. Each layer acts independently yet composes jointly, yielding up to m(2N −1) channels for m wavelengths and N layers.
Cherry Park +4 more
wiley +1 more source
IEEE AccessThe selection of the appropriate artificial intelligence (AI) model from a variety of different classes of models for network security is a challenging and time-consuming task.
Tanish Guntur +4 more
doaj +1 more source
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced Functional Materials, EarlyView.The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Learning to Equalize for Single-Carrier Underwater Acoustic Communications
Journal of Marine Science and EngineeringLearning-based equalizers for multicarrier communication systems have been widely studied over underwater acoustic (UWA) channels. In this article, a learning-based equalizer is utilized for single-carrier (SC) underwater acoustic communications.
Hao Zhao +5 more
doaj +1 more source
Multimodal meta-learning through meta-learned task representations
Neural Computing and ApplicationsAbstractFew-shot meta-learning involves training a model on multiple tasks to enable it to efficiently adapt to new, previously unseen tasks with only a limited number of samples. However, current meta-learning methods assume that all tasks are closely related and belong to a common domain, whereas in practice, tasks can be highly diverse and originate
Anna Vettoruzzo +2 more
openaire +3 more sources
Advanced Functional Materials, EarlyView.Cuttlebone‐inspired metamaterials exploit a septum‐wall architecture to achieve excellent mechanical and functional properties. This review classifies existing designs into direct biomimetic, honeycomb‐type, and strut‐type architectures, summarizes governing design principles, and presents a decoupled design framework for interpreting multiphysical ...
Xinwei Li, Zhendong Li
wiley +1 more source
Alpha MAML: Adaptive Model-Agnostic Meta-Learning
, 2019 Model-agnostic meta-learning (MAML) is a meta-learning technique to train a model on a multitude of learning tasks in a way that primes the model for few-shot learning of new tasks.
Baydin, Atılım Güneş +2 more
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