Results 61 to 70 of about 104,305 (311)
GCB‐YOLO: A Lightweight Algorithm for Wind Turbine Blade Defect Detection
For the current visual detection methods of wind turbine blade defects, their detection models are usually excessively large, making it difficult to achieve a balance between model accuracy and inference speed.
Zhiming Zhang +5 more
doaj +1 more source
Research on mining area obstacle detection model for edge computing
In recent years, with the rise of autonomous driving technology for mining trucks, detecting obstacles on mining roads has become crucial. Object detection models based on deep learning have been applied to significant effect in detecting obstacles on ...
Shunling RUAN +3 more
doaj +1 more source
This study demonstrates an efficient recycling route for out‐of‐spec AlSi10Mg atomized powders through compaction and arc remelting followed by suction casting. By correlating compaction load, cooling rate, and resulting microstructure, we show that intermediate pressures (50–80 kN) and rapid cooling refine dendrites, reduce porosity, and enhance ...
Mila Christy de Oliveira +4 more
wiley +1 more source
YOLOSeaShip: a lightweight model for real-time ship detection
With the rapid advancements in computer vision, ship detection models based on deep learning have been more and more prevalent. However, most network methods use expensive costs with high hardware equipment needed to increase detection accuracy.
Xiaoliang Jiang, Jianchen Cai, Ban Wang
doaj +1 more source
A Compact Spin‐Coated Graphene UWB Antenna for Breast Tumor Detection
A compact, spin‐coated graphene ultra‐wideband patch antenna designed for breast tumor detection, capable of distinguishing between malignant and benign tumors. This innovative antenna can serve as an effective initial screening tool, particularly in resource‐limited settings such as rural areas, where access to advanced medical equipment like MRI and ...
Raja Rashidul Hasan +9 more
wiley +1 more source
This paper describes the mechanisms that are needed in order to provide a secure directory service based on the X.500 data model. A brief introduction to the X.500 data model is given followed by an overview of the Lightweight Directory Access Protocol ...
Chadwick, David W.
core
Establishing a Stronger Baseline for Lightweight Contrastive Models
Recent research has reported a performance degradation in self-supervised contrastive learning for specially designed efficient networks, such as MobileNet and EfficientNet. A common practice to address this problem is to introduce a pretrained contrastive teacher model and train the lightweight networks with distillation signals generated by the ...
Wenye Lin +3 more
openaire +2 more sources
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals
Background Autism spectrum disorder is a common group of conditions affecting about one in 54 children. Electroencephalogram (EEG) signals from children with autism have a common morphological pattern which makes them distinguishable ...
Faust, Oliver +11 more
core +1 more source
Using lightweight modeling to understand chord [PDF]
Correctness of the Chord ring-maintenance protocol would mean that the protocol can eventually repair all disruptions in the ring structure, given ample time and no further disruptions while it is working. In other words, it is "eventual reachability." Under the same assumptions about failure behavior as made in the Chord papers, no published version ...
openaire +1 more source

