Abduljalil Mohamed

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—Wireless electroencephalogram (EEG) sensors have been successfully applied in many medical and computer brain interface classifications. A common characteristic of wireless EEG sensors is that they are low powered devices, and hence an efficient usage of sensor energy resources is critical for any practical application. One way of minimizing energy(More)
— Magnetic Flux Leakage (MFL) sensors are commonly utilized to detect defects in oil and gas pipelines and determine their depths and sizes. As a preprocessing step, MFL data are often reduced into a representative feature set that is capable of accurately estimating pipeline defect depths. However, this estimation capability may vary depending on the(More)
—Experienced engineers utilize Magnetic Flux Leakage (MFL) sensors to scan oil and gas pipelines for the purpose of localizing and sizing different defect types. The huge amount of raw data obtained by these sensors, however, makes the inspection task error-prone and time-consuming. In this paper, we propose a defect depth estimation approach using(More)
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