Publications by authors named "A M al-Bashir"

Article Synopsis
  • * To tackle these challenges, a simulated dataset resembling the human thorax was created, and an ensemble learning approach combining multiple convolutional neural network models (like CNN, AlexNet, and modified versions) was utilized for improved image reconstruction.
  • * The ensemble method achieved impressive results, with a root mean square error (RMSE) of 0.09404, a coefficient of determination (R score) of 0.926186, and an image correlation coefficient (ICC) of 0.95783, indicating its potential for effective clinical EIT imaging.
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Selecting the appropriate maintenance type is a challenging task that involves multiple criteria working together. This decision has a significant impact on the organization and its overall market sustainability. The primary categorization of maintenance consists of two main types: corrective maintenance and preventive maintenance.

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Obstructive Sleep Apnea/Hypopnea Syndrome (OSAHS) is sleep-disordered breathing distinguished by repetitive cessation or reduction of airflow due to the collapse or narrowing of the upper airway during sleep with continued respiratory effort. A high level of incidence of OSAHS is correlated with obesity. Both severely obese patients and OSAHS patients manifest Long QT Syndrome (LQTS).

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Unlabelled: The effect of untreated Obstructive Sleep Apnoea (OSA) on cerebral haemodynamics and CA impairment is an active field of research interest. A breath-hold challenge is usually used in clinical and research settings to simulate cardiovascular and cerebrovascular changes that mimic OSA events. This work utilises temporal arterial oxygen saturation (SpO) and photoplethysmography (PPG) signals to estimate the temporal cerebral blood flow velocity (CBFv) waveform.

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