Showing 85–96 of 3682 results
A Dual Series-Resonant DC-DC Converter Abstract– A dual series-resonant DC-DC converter with zero voltage switching (ZVS) and zero current switching (ZCS) features is proposed in this paper. The topology consists of two switches and a clamping capacitor on the primary side of an isolating transformer. The two switches are operated in complementary mode under pulse…
A Dual-Band Highly Miniaturized Patch Antenna Abstract? A highly miniaturized dual-band patch antenna is proposed for small form factor (SFF) devices. The antenna is designed to cover two wireless local area network (WLAN) bands at 2.4 and 5.2 GHz. The antenna is miniaturized using a shorting post and a novel defected ground structure (DGS). The…
A Dynamic Image Matching Model and Architecture for Smart Devices. The aim of this research is on developing a dynamic image matching model (DIMM) for smart devices. People with no knowledge on searching keywords can see the information and make good use of it in their daily life. Although existing search engines (Google, Yahoo etc.)…
A Dynamical and Load-Balanced Flow Scheduling Approach for Big Data Centers in Clouds Abstract? Load-balanced flow scheduling for big data centers in clouds, in which a large amount of data needs to be transferred frequently among thousands of interconnected servers, is a key and challenging issue. The OpenFlow is a promising solution to balance data…
A family Particle Swarm Optimization based on the family tree Abstract?A family Particle Swarm Optimization based on the family tree. The concept of the family was previously introduced into Particle Swarm Optimization (PSO). To further study the multi-group structure of the Family PSO (FPSO), this paper introduces the family tree into the FPSO. It made…
A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method Abstract? A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method. Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database…
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data Abstract? A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data.Feature selection involvesidentifying a subset of the most useful features that produces compatible results as the original entire set of features. A feature selection algorithm may be evaluated from both the efficiency and effectiveness points…
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data Abstract? A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data. Feature selection involves identifying a subset of the most useful features that produces compatible results as the original entire set of features. A feature selection algorithm may be evaluated from both the efficiency and…
A fault-tolerant scheduling system for computational grids Abstract? Fault-tolerant scheduling is an important issue for computational grid systems, as grids typically consist of strongly varying and geographically distributed resources. The main scheduling strategy of most fault-tolerant scheduling systems depends on the response time and fault index when selecting a resource to execute a certain…
A Feature Learning and Object Recognition Framework for Underwater Fish Images Abstract? Live fish recognition is one of the most crucial elements of fisheries survey applications where the vast amount of data is rapidly acquired. Different from general scenarios, challenges to underwater image recognition are posted by poor image quality, uncontrolled objects and environment, and…
A Feature Learning and Object Recognition Framework for Underwater Fish Images Abstract-Live fish recognition is one of the most crucial elements of fisheries survey applications where vast amount of data are rapidly acquired. Different from general scenarios, challenges to underwater image recognition are posted by poor image quality, uncontrolled objects and environment, as well as…
A Feature Selection and Classification Algorithm Based on Randomized Extraction of Model Populations Abstract-We here introduce a novel classification approach adopted from the nonlinear model identification framework, which jointly addresses the feature selection (FS) and classifier design tasks. The classifier is constructed as a polynomial expansion of the original features and a selection process is…
End of content
End of content
Don't have an account yet? Sign up
No items in your cart. Go on, fill it up with something you love!
Start Shopping Now
Free 
