In the recent years, computerized biomedical image and analysis are extremely promising and more interested and beneficial, it provides remarkable information and diagnoses of skin lesion. Melanoma distinguish one of lethal ...

In this paper, a new personal identification method based on unconstrained iris recognition is presented. We apply a nontraditional step for feature extraction where a new circular contourlet filter bank is used to capture ...

Distributed generators (DGs) are currently extensively used to reduce power losses and voltage deviations in distribution networks. The optimal location and size of DGs achieve the best results. This study presents a novel ...

This paper proposes new scheduling algorithms for best effort (BE) traffic classification in business femtocell networks. The purpose of traffic classification is to provide differentiated services to BE users depending ...

Wireless body area network is a type of wireless sensor network that enables efficient healthcare system. To minimize frequent sensor replacement due to resource restrictions, it is necessary to improve energy efficiency ...

In this paper an individual - suitable function calculating design for WSNs is conferred. A multi-agent-located construction for WSNs is planned and an analytical type of the active combination is built for the function ...

Orthogonal frequency division multiple access (OFDMA) in Long Term Evolution (LTE) can effectively eliminate intra-cell interferences between the subcarriers in a single serving cell. But, there is more critical issue that, ...

Wireless body area network (WBAN) is a network composed of tiny sensor nodes that can be placed on/in/around the body to measure physiological parameters in real time and transmit it through the Internet to a caregiver. ...

Medical data classification is an important factor in improving diagnosis and treatment and can assist physicians in making decisions about serious diseases by collecting symptoms and medical analyses. In this work, hybrid ...

In the artificial intelligence community the multi-objective optimization problem become very common and has been rapidly increasing attention. This significant is due to the fact that there is high number of real-world ...