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Two-step single slope/SAR ADC with error correction for CMOS image sensor
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Hindawi Publishing Corp
, 2014 , Article)
Conventional two-step ADC for CMOS image sensor requires full resolution noise performance in the first stage single slope ADC, leading to high power consumption and large chip area. This paper presents an 11-bit two-step ...
Real-time automated image segmentation technique for cerebral aneurysm on reconfigurable system-on-chip
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Elsevier B.V.
, 2018 , Article)
© 2018 Elsevier B.V. Cerebral aneurysm is a weakness in a blood vessel that may enlarge and bleed into the surrounding area, which is a life-threatening condition. Therefore, early and accurate diagnosis of aneurysm is ...
Electronic nose system on the Zynq SoC platform
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Elsevier B.V.
, 2017 , Article)
Electronic nose or machine olfaction are systems used for detection and identification of odorous com- pounds and gas mixtures. An electronic nose system is mainly made of two parts, the sensing part which takes the form ...
Content-based image retrieval with compact deep convolutional features
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Elsevier B.V.
, 2017 , Article)
Convolutional neural networks (CNNs) with deep learning have recently achieved a remarkable success with a superior performance in computer vision applications. Most of CNN-based methods extract image features at the last ...
ECG encryption and identification based security solution on the Zynq SoC for connected health systems
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Academic Press Inc.
, 2017 , Article)
Connected health is a technology that associates medical devices, security devices and communication technologies. It enables patients to be monitored and treated remotely from their home. Patients' data and medical records ...
Text-Independent Speaker Identification Using Vowel Formants
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Springer New York LLC
, 2016 , Article)
Automatic speaker identification has become a challenging research problem due to its wide variety of applications. Neural networks and audio-visual identification systems can be very powerful, but they have limitations ...
The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Among the large number of efforts that study the role of technology in energy saving, there exists, first, frameworks for monitoring and controlling energy consumption in households, second, systems that suggest best ...
Zynq SoC based acceleration of the lattice Boltzmann method
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John Wiley and Sons Ltd
, 2019 , Article)
Cerebral aneurysm is a life-threatening condition. It is a weakness in a blood vessel that may enlarge and bleed into the surrounding area. In order to understand the surrounding environmental conditions during the ...
Inequality Indexes as Sparsity Measures Applied to Ventricular Ectopic Beats Detection and its Efficient Hardware Implementation
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Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
Meeting application requirements under a tight power budget is of a primary importance to enable connected health internet of things applications. This paper considers using sparse representation and well-defined inequality ...
A Hybrid Feature Selection Method for Complex Diseases SNPs
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Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
Machine learning techniques have the potential to revolutionize medical diagnosis. Single Nucleotide Polymorphisms (SNPs) are one of the most important sources of human genome variability; thus, they have been implicated ...