Results 111 to 120 of about 84,089 (265)
Automatic differentiation of ruptured and unruptured intracranial aneurysms on computed tomography angiography based on deep learning and radiomics. [PDF]
Feng J +10 more
europepmc +1 more source
Electroactive Liquid Crystal Elastomers as Soft Actuators
Electroactive liquid crystal elastomers (eLCEs) can be actuated via electromechanical, electrochemical, or electrothermal effects. a) Electromechanical effects include Maxwell stress, electrostriction, and the electroclinic effect. b) Electrochemical effects arise from electrode redox reactions.
Yakui Deng, Min‐Hui Li
wiley +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Theano, TensorFlow, Keras, Torch, PyTorch, and other software frameworks have remarkably stimulated the popularity of deep learning (DL). Apart from all the good they achieve, the danger of such frameworks is that they unintentionally spur a black-box ...
Przemysław Klęsk
doaj +1 more source
Deep Learning for Automatic Differentiation of Mucinous versus Non-Mucinous Pancreatic Cystic Lesions: A Pilot Study. [PDF]
Vilas-Boas F +8 more
europepmc +1 more source
An oral nanoplatform, MOP@T@D, which can maintain glucose homeostasis and restore islet β cells in diabetic rats is developed. It achieves efficient intestinal absorption and liver‐targeted delivery. The nanoparticle disintegrates only in response to hyperglycemia to release insulin on demand and provides antioxidant protection through selenoprotein ...
Chenxiao Chu +14 more
wiley +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
A Motion Propagation Force Analysis of Multi-DoF Systems Using the Partial Lagrangian Method
A partial Lagrangian method is proposed as an inverse dynamics analysis method for multi-link systems. This method, combined with automatic differentiation, allows for the derivation of equations of motion and analytical extraction of motion-induced ...
Hironori Gunji +2 more
doaj +1 more source
Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study. [PDF]
Yang P +10 more
europepmc +1 more source
Synthetic Nanobiology Actuated Lipometabolic Cell Factory for Autologous Tumor Immunotherapy
FA plays a crucial role in the interaction between tumor cells and the tumor microenvironment, especially for the immune response. A biocatalytic immunoenhancement strategy is developed to boost antitumor immunity by FA metabolic orientation to ceramide. Through the design of this delicate catalytic immunoenhancement strategy, the synthetic nanobiology
Shoujie Zhao +8 more
wiley +1 more source

