breast cancer is the most common type of cancer among women. the important key to treat the breast cancer is early detection of it because according to many pathological studies more than 80% of all abnormalities are still benign at primary stages; so in recent years, many studies and extensive research done to early detection of breast cancer with higher precision and accuracy.infra-red breast...

Ethanol has been used, or proposed for use, as a process fluid or separation agent for a number of biorefining operations. These include oil extraction, solvent exchange, displacement drying, protein extraction, blood plasma fractionation, shellac deposition, protein film deposition, corn zein protein extraction, corn total protein extraction and wheat gluten protein from starch physical separa...

The rapid development and extensive use of digital technologies, electronic mail, Internet and mobile communication systems, and electronic commerce applications lead to the collection and processing of huge amounts of personal data. The increasing reliance on the information systems conducts to the selection of security controls, that are driven by the business needs and the associated securit...

The advent of machine learning techniques and image processing has led to new research opportunities in this area. Machine enabled automatic extraction analysis information from images. convergence with is useful a variety security applications. Image plays significant role physical as well digital security. Physical applications include homeland security, surveillance applications, identity au...

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

In contrast with other NLP tasks, only few and limited evaluation challenges have been carried out for terminology acquisition. It is nevertheless important to assess the progress made, the quality and limitations of terminological tools. This paper argues that it is possible to define evaluation protocols for tasks as complex as computational terminology. We focus on the core task of term extr...

Quality-of-service (QoS) routing satisfies application performance requirements and optimizes network resource usage but effective path-selection schemes require the distribution of link-state information, which can impose a significant burden on the bandwidth and processing resources in the network. We investigate the fundamental trade-off between network overheads and the quality of routing d...

We propose a general approach to modeling semi-supervised learning constraints on unlabeled data. Both traditional supervised classification tasks and many natural semisupervised learning heuristics can be approximated by specifying the desired outcome of walks through a graph of classifiers. We demonstrate the modeling capability of this approach in the task of relation extraction, and experim...

Platoon-based vehicular cyber-physical systems (VCPSs) have attracted much attention due to their potential improve road capacity and energy efficiency. However, the comprehensive effect of mismatched modeling dynamics unknown disturbances can impose a great challenge on convergence stability vehicle platooning. In this paper, we propose novel decentralized robust control approach address exter...