Results 101 to 110 of about 148,198 (270)
Generating 3D faces using Convolutional Mesh Autoencoders
, 2018 Learned 3D representations of human faces are useful for computer vision problems such as 3D face tracking and reconstruction from images, as well as graphics applications such as character generation and animation.
Black, Michael J. +3 more
core +1 more source
Advanced Materials Technologies, EarlyView.This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
LigVoxel: inpainting binding pockets using 3D-convolutional neural networks
Bioinformatics, 2018 Abstract Motivation Structure-based drug discovery methods exploit protein structural information to design small molecules binding to given protein pockets. This work proposes a purely data driven, structure-based approach for imaging ligands as spatial fields in target protein pockets. We use an end-
Miha Skalic +4 more
openaire +2 more sources
Advanced Materials Technologies, EarlyView.Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
wiley +1 more source
Engineered Optical Fibers for Deep‐Tissue Applications
Advanced Optical Materials, EarlyView.This review establishes a foundational framework for designing optical fibers for deep‐tissue medicine. It systematically links material innovations like polymers and hydrogels with structural paradigms to enable state‐of‐the‐art diagnostics, including endoscopy and biosensing, and targeted therapeutics, guiding future clinical translation.
Yuzhen Li +16 more
wiley +1 more source
3D Topology Optimization using Convolutional Neural Networks
, 2018 The paper is under review in 'Special issue on Computer-Aided Design on Advances in Generative Design', 16 Pages, 7 tables, 8 ...
Banga, Saurabh +4 more
openaire +2 more sources
Advanced Optical Materials, EarlyView.Solution‐processed MoS2 films with intrinsic sulfur‐vacancy traps are used to integrate light sensing and memory in a simple two‐terminal pixel. Successive optical pulses program persistent, multilevel conductance states, while oxygen exposure enables rapid erasure.
Jihyun Kim +8 more
wiley +1 more source
Liquid Metal Sensors for Soft Robots
Advanced Robotics Research, EarlyView.This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang +7 more
wiley +1 more source
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection
, 2015 Efforts to automate the reconstruction of neural circuits from 3D electron microscopic (EM) brain images are critical for the field of connectomics. An important computation for reconstruction is the detection of neuronal boundaries.
Lee, Kisuk +3 more
core