16 research outputs found
The Impact of Facilitated Quarantine on Mental Health Status of Non-Severe COVID-19 Patients
It has been shown that quarantine is important to reduce the incidence and mortality during COVID-19 pandemic.1 However, quarantine has consequences towards mental health. From previous outbreaks, several negative psychological effects such as post-traumatic stress symptoms, confusion, and anger were observed.2 In Indonesia, several successful suicide cases of COVID-19 patients in quarantine facilities have been reported, and being quarantined in quarantine facilities has been suggested to be the main cause. Nevertheless, no study has confirmed
whether being quarantined in quarantine facilities in fact, worsens the mental health status of COVID-19 patients
Urdu Nasta’liq text recognition system based on multi-dimensional recurrent neural network and statistical features
Segmentation techniques for recognition of Arabic-like scripts: a comprehensive survey
Application of Support Vector Machine Modeling on Phase Distribution in the Riser of an LSCFB Reactor
Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks
Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey
17 Halama
Statistical features extraction for character recognition using recurrent neural network
Adaptive filtering algorithms for channel equalization in wireless communication
The major problems in today\u27s wireless communications is time dispersion and inter symbol interference. To combat these issues various adaptive equalization techniques are used. In literature state of art algorithms of adaptive equalization will be studied in detail, however the utmost goal of these algorithms is to attain high convergence rate, less complexity and least error. In this paper a comparison between least mean square algorithm and fractional least mean square algorithm is presented and experimentally proved that the rate of convergence is high in case of fractional least mean square algorithm. Also it is observed that LMS algorithm has better performance for random signals and fractional LMS has proved very efficiently in case of deterministic signals. These both algorithms are implemented in MATLAB and eight channels with different tap weights are used but in this paper only selected are presented