Convolutional Neural Networks in Chronic Wound Segmentation and Tissue Classification Using Real-World Images. [PDF]
Huttunen E +6 more
europepmc +1 more source
A nanoporous SiO2 memristor enabling reconfigurable volatile and non‐volatile switching within a single device is demonstrated. The dual‐mode functionality supports both physical reservoir dynamics and synaptic weight storage, allowing unified hardware implementation of reservoir computing for temporal information processing, including image and ...
Bohao Ding +5 more
wiley +1 more source
Application of convolutional neural networks for automated segmentation and classification in esophageal diseases. [PDF]
Pu L, Wang X, Yan S, Zhuang S, He X.
europepmc +1 more source
An exciting Approach to Theoretical Spectroscopy
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno +29 more
wiley +1 more source
LIGO Core-Collapse Supernova Detection Using Convolutional Neural Networks. [PDF]
Pan Z +3 more
europepmc +1 more source
Thin‐Film Transistor Based Active Taxel for Multimode Tactile Perception and Fused Processing
Skin serves as the largest‐area organ for human and embodied intelligent robots, providing tactile interaction. An active multimode fused (AMF) artificial skin is developed using standard TFT processes, featuring 2T‐1C taxels with optical and electrostatic capacitive receptors for cross‐modal sensing.
Sihao Wu +13 more
wiley +1 more source
Brain Tumor Classification in MRI Images Using Combined Transfer Learning and Convolutional Neural Networks. [PDF]
Abbas M, Hassan M, Wang RZ, Teng CH.
europepmc +1 more source
Dual‐Module Near‐Infrared Fluorophores Discovery System via Knowledge Transfer
This study presents a dual‐module deep learning system for the design of near‐infrared (NIR) fluorophores. A large molecular library is generated and analyzed, leading to the suggestions of promising candidates. The effectiveness of the system is further validated through the synthesis, characterization, and in vivo imaging, demonstrating its potential
Yixin Zhu +7 more
wiley +1 more source
Impact of Transfer Learning on Convolutional Neural Networks for Odontogenic Tumor Diagnosis. [PDF]
Giraldo-Roldán D +16 more
europepmc +1 more source
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source

