Leveraging image complexity in macro-level neural network design for medical image segmentation
Recent progress in encoder–decoder neural network architecture design has led to significant performance improvements in a wide range of medical image segmentation tasks.
Tariq M. Khan +2 more
doaj +1 more source
Gyroid Structured Globugraphite Carbon Foam With Hierarchical and Tailored Pore Size
Secondary sacrificial templates were designed and printed to create a defined network within a porous carbon. Lattices thermally degrades during the sintering process. Lattices are imprinted into the ceramic template and transferred to the morphology of Globugraphite.
Christiane Roller +6 more
wiley +1 more source
LGM-Pose: A Lightweight Global Modeling Network for Real-Time Human Pose Estimation
Most of the lightweight methods of the current top-down multi-person pose estimation are based on multi-branch parallel pure CNN network architecture, which often struggle to capture the global context required for detecting semantically complex ...
Biao Guo +5 more
doaj +1 more source
SSD7-FFAM: A Real-Time Object Detection Network Friendly to Embedded Devices from Scratch
The high requirements for computing and memory are the biggest challenges in deploying existing object detection networks to embedded devices. Living lightweight object detectors directly use lightweight neural network architectures such as MobileNet or ...
Qing Li, Yingcheng Lin, Wei He
doaj +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Infrared and Visible Image Fusion Network Based on Self-Compensating Lightweight Convolution
Deep learning has significantly improved the quality of infrared and visible image fusion. However, existing mainstream deep fusion networks often come with complex architectures and a large number of parameters.
Ruolin Li +5 more
doaj +1 more source
A survey on communication protocols and performance evaluations for Internet of Things
The Internet of Things (IoT) is a large-scale network of devices capable of sensing, data processing, and communicating with each other through different communication protocols.
Cüneyt Bayılmış +4 more
doaj +1 more source
Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies
Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke +3 more
wiley +1 more source
Coordinated Architectural and Chemical Reinforcement in the Crushing Mandible of a Soldier Termite
The crushing mandible of a soldier termite withstands substantial biting loads despite lacking mineral. Its cuticle is partitioned: convex teeth pair hardness and zinc enrichment with aligned chitin fibers for contact durability, while stiffer concave regions between teeth carry bending loads.
Andrew Tran Nguyen +16 more
wiley +1 more source
TCSR: Lightweight Transformer and CNN Interaction Network for Image Super-Resolution
Convolutional neural network (CNN) has achieved impressive success in lightweight image super-resolution (SR) methods, yet the nature of its local operations constrains the SR performance.
Danlin Cai +6 more
doaj +1 more source

