A SQUID based fetal magnetocardiography (fMCG) can be used for prenatal prognosis of many fetal diseases. Due to the weak fMCG signal, a stable environment is required in addition to the SQUID gradiometer. This paper ...
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Using cutting-edge technology like wearables, internet access of Things, and smartphones, smart healthcare has become a crucial component of health policy services. This revolutionary method enables seamless connectio...
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Six-port interferometric receiver is a competitive low-power front-end receive solution and suitable for multi-function wireless applications. In this paper, we propose the wideband, high throughput, concurrent dual-b...
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This paper focuses on the implementation of the Direct-Quadrature-Zero transforms in the RGB color space of a digital image. The implementation of the proposed method transforms the RGB channels of the matrix represen...
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Paper and board for printing commonly contains optical brightening agents that fluoresce in the presence of UV radiation, making the prints appear brighter and bluer. If the relative amount of optical brightening agen...
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The growing elderly population and the increasing demand for nursing home care have led to a need to improve the quality of life for residents. A popular solution is developing a companion robot to assist residents wi...
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For healthcare IT is essential, as it determines the quality of people's lives, it creates patterns that help organize medical prevention activity conceptually, therefore it determines the quality of medical care,...
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Fluctuations in food prices play a pivotal role in maintaining economic equilibrium and influencing the very fabric of our everyday lives. This paper presents a comprehensive framework for modeling and analyzing food ...
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CuO nanoparticles are used for p-type thin film transistor integration at low temperatures. The gate dielectric layer is a spin-on nanocomposite resin with a dielectric constant of about 8. Transistors show low-voltag...
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This study presents a robust framework that leverages advanced deep-learning techniques for ear-based human recognition. Faced with the challenge of dataset sizes, our approach is developed based on a generative adver...
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