نتایج جستجو برای: recognition

تعداد نتایج: 251548  

Journal: :توسعه کارآفرینی 0
علی صفری استادیار گروه مدیریت دانشکده علوم اداری و اقتصاد دانشگاه اصفهان آرزو خواجه پور دانشجوی کارشناسی ارشد مدیریت کارآفرینی گروه مدیریت دانشکده علوم اداری و اقتصاد دانشگاه اصفهان علی شائمی هیئت علمی گروه مدیریت دانشکده علوم اداری و اقتصاد دانشگاه اصفهان

this research aims to design the portfolio entrepreneurship model and to analyze the effect of social capital, prior experience and knowledge, the entrepreneur’s financial resources, as well as human capital on portfolio entrepreneurship and also to investigate the effect of portfolio entrepreneurship on recognition of new opportunities, as well as business growth and development. the research ...

Journal: :the modares journal of electrical engineering 2006
alireza darvish ehsanollah kabir hosein khosravi

in this paper, we used a shape matching algorithm to recognize farsi digits. for each sampled point on the contour of a shape, we obtain a descriptor showing the distribution of the other points of the contour, with respect to this point. based on these descriptors, we find the corresponding points of the two contours and take the sum of their distances as a dissimilarity measure between two sh...

Journal: :International Journal of Scientific Research in Computer Science and Engineering 2018

Journal: :journal of ai and data mining 2014
ali harimi ali shahzadi alireza ahmadyfard khashayar yaghmaie

speech emotion recognition (ser) is a new and challenging research area with a wide range of applications in man-machine interactions. the aim of a ser system is to recognize human emotion by analyzing the acoustics of speech sound. in this study, we propose spectral pattern features (sps) and harmonic energy features (hes) for emotion recognition. these features extracted from the spectrogram ...

Journal: :journal of advances in computer research 0
mohsen tavana department of computer engineering, mamasani branch, islamic azad university, mamasani, iran mohammad mohammadi department of computer engineering, mamasani branch, islamic azad university, mamasani, iran hamid parvin department of computer engineering, mamasani branch, islamic azad university, mamasani, iran young researchers and elite club, mamasani branch, islamic azad university, mamasani, iran

exploiting multimodal information like acceleration and heart rate is a promising method to achieve human action recognition. a semi-supervised action recognition approach aucc (action understanding with combinational classifier) using the diversity of base classifiers to create a high-quality ensemble for multimodal human action recognition is proposed in this paper. furthermore, both labeled ...

Journal: :iranian red crescent medical journal 0
mohammad ebrahim mahdavi department of audiology, school of rehabilitation sciences, iran university of medical sciences, tehran, iran; department of audiology, school of rehabilitation, shahid beheshti university of medical sciences, tehran, iran; department of audiology, school of rehabilitation, shahid beheshti university of medical sciences, tehran, iran akram pourbakht department of audiology, school of rehabilitation sciences, iran university of medical sciences, tehran, iran akram parand faculty of psychology and education, university of tehran, tehran, iran shohreh jalaie department of physiotherapy, school of rehabilitation, tehran university of medical sciences, tehran, iran maryam rezaeian department of audiology, school of rehabilitation, shahid beheshti university of medical sciences, tehran, iran elham moradiju department of audiology, school of rehabilitation, shahid beheshti university of medical sciences, tehran, iran

conclusions monaural and binaural recognition of words and digits-in-noise are impaired in ld children with dichotic listening deficit. it seems that bdsd children show an inter-aural asymmetry in recognition of words-in-noise with poorer performance in the right ear. background previous studies have reported the weakness of recognition of speech-in-noise and dichotic listening deficit in learn...

A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by him/her. Iris recognition (IR) is known to be the most reliable and accurate biometric identification system. The iris recognition system (IRS) consists of an automatic segmentation mechanism which is based on the Hough transform (HT). This paper presents a robust IRS i...

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