Finding Desirable Items in E-Commerce Search by Discovering the Worst Title Tokens Abstract—Given an e-commerce query, how well the titles of items for sale match the user intent is an important signal for ranking the items. A well-known technique for computing this signal is to use a standard machine-learned model […]
Towards a Semantic Keyword Search over Industrial Knowledge Graphs Abstract—Semantic Search over Industrial Knowledge Graphs.Knowledge graphs have become powerful assets for enhancing search and data integration and are now widely used in both academia and industry. Existing semantics of keyword search over knowledge graphs, especially in industrial context, has limitations. […]
IoT and cloud convergence: Opportunities and challenges The success of the IoT world requires service provision attributed with ubiquity, reliability, high-performance, efficiency, and scalability. In order to accomplish this attribution, future business and research vision is to merge the Cloud Computing and IoT concepts, i.e., enable an “Everything as a […]
Combined Mining: Discovering Informative Knowledge in Complex Data Enterprise data mining applications often involve complex data such as multiple large heterogeneous data sources, user preferences, and business impact. In such situations, a single method or one-step mining is often limited in discovering informative knowledge. It would also be very time […]
NFV Enabled IoT Architecture for an Operating Room Environment The Internet of Things (IoTs) refers to the interconnection of billions of smart devices. The steadily increasing number of IoT devices with heterogeneous characteristics requires that future networks evolve to provide a new architecture to cope with the expected increase in […]
Device-to-Device Networking Meets Cellular via Network Coding The increasing popularity of diverse applications in today’s mobile devices introduces higher demand for throughput, and puts a strain on network resources especially on cellular links. In fact, cellular traffic is growing exponentially, and it is expected to remain so for the foreseeable […]
A Backup Algorithm for Power Communication Network Based on Fault Cascade in the Network Virtualization Environment. Network modeling and topological characteristics of a three-tier power grid in NV. We use the degree sorting algorithm as the control group which is widely used in power grid.Server unreasonable phenomena were reported in […]
Offline and Online Scheduling Algorithms for Energy Harvesting RSUs in VANETs Vehicular ad-hoc networks (VANETs) have emerged in recent years as a solution to enhance the way we travel and communicate on the roads, and to regulate vehicular traffic. In these networks, vehicles are seen as mobile nodes that communicate […]
Design of Plant Disease Detection System: A Transfer Learning Approach Work in Progress The use of Information and communication technologies(ICT) has become essential to help farmers collect important and updated information and knowledge which are valuable resources that farming depend. The study embarked investigates the problem sources of unavailability or […]
Single Image Super-Resolution via Multiple Mixture Prior Models Example learning-based single image super-resolution (SR) is promising method for reconstructing a high-resolution (HR) image from a single input low-resolution (LR) image. Lots of popular SR approaches are more likely either time- or space-intensive, which limit their practical applications. Hence some researches […]
