Publications by authors named "Sabah M Ahmed"

Article Synopsis
  • Recent advancements highlight potential applications of electromagnetic launchers for defense, space exploration, and transportation, particularly in deploying satellites and enhancing high-speed rail systems.
  • This paper proposes a novel design featuring a laminated iron yoke that significantly improves the inductance and efficiency of magnetic accelerators, achieving a 17.5% efficiency gain over traditional models.
  • An artificial intelligence optimization technique, the gravitational search algorithm, further increases system efficiency by an additional 15%, resulting in a total efficiency of 20%.
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Chemical bath deposition (CBD) technique is utilized to grow lead-oxide (PbO) nanostructures (NSs) over PbO seed fabricated by physical vapor deposition (PVD) method on glass substrates. The effect of growth temperatures 50 and 70 °C on the surface topography, optical properties, and crystal structure of lead-oxide NSs has been studied. The investigated results suggested that the growth temperature has a huge and very considerable influence on the PbO NS, and the fabricated PbO NS has been indexed as the PbO polycrystalline tetragonal phase.

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Article Synopsis
  • This study presents a method for detecting insect larvae using a stereo camera and deep learning, which can help farmers identify pests at early developmental stages, leading to better pest management.
  • The research utilizes advanced machine vision technology and deep learning algorithms on a custom dataset to improve pest detection accuracy while balancing smooth robot operation and precise localization.
  • Simulation results using CoppeliaSim and MATLAB/SIMULINK demonstrate the effectiveness of the system, achieving 99% classification accuracy and a 0.84 average precision for pest localization.
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Ultraviolet (UV) photodetectors (PDs) based on high-quality well-aligned ZnO nanorods (NRs) were fabricated using both modified and conventional chemical bath deposition (CBD) methods. The modified chemical bath deposition (M-CBD) method was made by adding air bubbles to the growth solution during the CBD process. The viability and effectiveness of M-CBD were examined by developing UV PDs based on ZnO NRs.

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Recently, remote healthcare systems have received increasing attention in the last decade, explaining why intelligent systems with physiology signal monitoring for e-health care are an emerging area of development. Therefore, this study adopts a system which includes continuous collection and evaluation of multiple vital signs, long-term healthcare, and a cellular connection to a medical center in emergency case and it transfers all acquired raw data by the internet in normal case. The proposed system can continuously acquire four different physiological signs, for example, ECG, SpO2, temperature, and blood pressure and further relayed them to an intelligent data analysis scheme to diagnose abnormal pulses for exploring potential chronic diseases.

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