Aiming at the poor reliability of targets destroy for single base surface-to-air-missile weapon system, and the existing shortcomings of anti-destroying ability for missile networking system, this paper research on system level surface-to-air-missile defense system network features. On the analysis of the missile launching area boundary, the kill probability, the operational time and threat lev...

Background: Early diagnosis of patients in the early stages of Alzheimer's, known as mild cognitive impairment, is of great importance in the treatment of this disease. If a patient can be diagnosed at this stage, it is possible to treat or delay Alzheimer's disease. Resting-state functional magnetic resonance imaging (fMRI) is very common in the process of diagnosing Alzheimer's disease. In th...

book social media are reading communities primarily developed as online social networks. this study aims to find precise criteria and indicators for evaluation of book social network and examine and rank the most popular book social networks. the sample population included 10 english and two persian book/reading social networks publicly available on the web. a checklist containing 9 main criter...

In this paper, we present a machine vision system that was developed on the basis of neural networks to identify twelve houseplants. Image processing system was used to extract 41 features of color, texture and shape from the images taken from front and back of the leaves. The features were fed into the neural network system as the recognition criteria and inputs. Multilayer perceptron (MLP) ne...

Face detection has been an important research topic over the last 20 years. It is commonly used as a first step in face recognition and several techniques were applied in face detection, going from geometrical methods such as model matching to connectionist methods such as neural networks. This work presents a face detection system that uses a Bayesian network to combine information from differ...

量子コンピュータハードウェアの目覚ましい発展に伴って，量子コンピュータの応用先を広げるための研究が活発化している．様々な応用先の中でも，機械学習への応用は特に注目されている分野である．本稿では，量子コンピュータの基礎的な事項を抑えることからはじめ，量子コンピュータを機械学習に使う手法を大まかに解説する．特に，近未来の量子コンピュータで実行することが期待されている，量子特徴量や量子ニューラルネットワークの考え方に焦点をあてて，最近の研究の展開を紹介する．