Wound Segmentation Network Based on Location Information Enhancement

Location based speaker segmentation

This paper proposes a technique that segments audio according to speakers based on their location. In many multi-party conversations, such as meetings, the location of participants is restricted to a small number of regions, such as seats around a table, or at a whiteboard. In such cases, segmentation according to these discrete regions would be a reliable means of determining speaker turns. We...

Multi-criteria Logistic Hub Location by Network Segmentation under Criteria Weights Uncertainty (RESEARCH NOTE)

Third party service providers are locating logistic hub for operating their tasks. Finding a proper location helps them to have better performance in competitive environment. Multiple characteristics of proper location selection faces the decision maker to have a multi criteria decision making problem. Since the location decision is a long term planning, the robustness of the decision is gettin...

Analyzing the Impact of Service Accessibility Enhancement on Urban Energy Efficiency Based on GIS Network Analysis

Information Fusion Based Fault Location Technology for Distribution Network

Along with the increasing the level of distribution network intelligence and the network complexity, the automatic fault location technology for distribution network is particularly important. But the traditional fault location methods based on one information source is impossible to locate the faults accurately because of there are losses or faults in the information from the distribution. So,...

Neural Network-Based Learning Kernel for Automatic Segmentation of Multiple Sclerosis Lesions on Magnetic Resonance Images

Background: Multiple Sclerosis (MS) is a degenerative disease of central nervous system. MS patients have some dead tissues in their brains called MS lesions. MRI is an imaging technique sensitive to soft tissues such as brain that shows MS lesions as hyper-intense or hypo-intense signals. Since manual segmentation of these lesions is a laborious and time consuming task, automatic segmentation ...