breast cancer is the second largest cause of cancer deaths among women. at the same time, it is also among the most curable cancer types if it can be diagnosed early. this paper presents a novel hybrid intelligent method for recognition of breast cancer tumors. the proposed method includes three main modules: the feature extraction module, the classifier module and the optimization module. in t...

This paper presents an empirical mode decomposition (EMD) based adaptive filter (AF) for channel estimation in OFDM system.  In this method, length of channel impulse response (CIR) is first approximated using Akaike information criterion (AIC). Then, CIR is estimated using adaptive filter with EMD decomposed IMF of the received OFDM symbol. The correlation and kurtosis measures are used to sel...

background: hepatitis c virus (hcv) infection is one of the most prevalent infectious diseases responsible for high morbidity and mortality worldwide. therefore, designing new and effective therapeutics is of great importance. the aim of the current study was to construct a dna vaccine containing structural proteins of hcv and evaluation of its expression in a eukaryotic system. methods: struct...

Early warning systems are key components of strategies to reduce risk. This research, by adopting a systematic approach in the management of the risk of desertification and by including previously developed models and systems, offers an integrated efficient structure in terms of early warning for the risk of desertification as a pilot system for semi-arid areas of west Golestan Province in IRAN...

<span lang="EN-US">This study describes a new optimization approach for three-phase induction motor speed drive to minimize the integral square error controller and improve dynamic performance. The proposed algorithm, African vulture optimizer algorithm (AVOA) optimizes internal parameters of fuzzy like proportional differential (PD) controller. AVOA is notable its ease implementation, mi...