Employing Sisko non-Newtonian model to investigate the thermal behavior of blood flow in a stenosis artery: Effects of heat flux, different severities of stenosis, and different radii of the artery

Haowei, MA; Hussein, Uday Abdul-Reda; Al‐qaim, Zahraa Haleem; Altalbawy, Farag M. A.; AI_Sadi, Hafidh l.; Fadhil, Ali Abdulhussain; Al-Taee, Muataz Mohammed; Hadrawi, Salema K.; Khalaf, Reem Muhsin; Jirjees, Iman Hazim; Zarringhalam, Majid; Hekmatifar, Maboud

doi:10.1016/j.aej.2022.12.048

Cited by 18 publications

(2 citation statements)

References 17 publications

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“…In the visual navigation and positioning system for autonomous positioning of robots, the navigation method of installing vehicle cameras in robots based on local vision is widely used at home and abroad. In this navigation mode, control equipment and sensing devices are loaded on the robot body, and [11] high-level decisions such as image recognition and path planning are completed by the on-board control computer.…”

Section: Robot Autonomous Localization Slam Technology Can Realize Au...mentioning

confidence: 99%

Integrating artificial intelligence with SLAM technology for robotic navigation and localization in unknown environments

Fan,

Li,

Ding

et al. 2024

ACE

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In the era of advancing technology, unmanned inspection robots have become indispensable for their efficiency, precision, and safety. Key to their autonomous operation is Simultaneous Localization and Mapping (SLAM) technology, which allows robots to navigate and create maps of unknown environments in real-time. This article explores the integration of SLAM with artificial intelligence, highlighting its role in robotic navigation, localization, and obstacle avoidance. Specifically, we delve into SLAM's principles, its implementation with LiDAR technology, and its application in autonomous robot localization. Furthermore, we introduce a collaborative mapping algorithm based on ORB-SLAM3, enhancing map construction efficiency and real-time performance. Through our exploration, we illustrate the transformative potential of SLAM technology, paving the way for safer and more efficient robotic inspection systems across various industries.

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Section: Robot Autonomous Localization Slam Technology Can Realize Au...mentioning

confidence: 99%

Integrating artificial intelligence with SLAM technology for robotic navigation and localization in unknown environments

Fan,

Li,

Ding

et al. 2024

ACE

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“…With degradable implants, patients do not have to undergo a second surgery, which is cost-effective and beneficial for them [10]. The slow load transfer from the implant to the damaged area allows the damaged bone or tissue to heal faster [11]. A biodegradable implant must, however, be controlled so that degradation does not occur faster or slower than the time necessary for healing to ultimately happen [12,13].…”

Section: Introductionmentioning

confidence: 99%

Unveiling the Effect of Particle Incorporation in PEO Coatings on the Corrosion and Wear Performance of Magnesium Implants

Almajidi,

Ali,

Jameel

et al. 2023

Lubricants

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Magnesium has been a focal point of significant exploration in the biomedical engineering domain for many years due to its exceptional attributes, encompassing impressive specific strength, low density, excellent damping abilities, biodegradability, and the sought-after quality of biocompatibility. The primary drawback associated with magnesium-based implants is their susceptibility to corrosion and wear in physiological environments, which represents a significant limitation. Research findings have established that plasma electrolytic oxidation (PEO) induces substantial modifications in the surface characteristics and corrosion behavior of magnesium and its alloy counterparts. By subjecting the surface to high voltages, a porous ceramic coating is formed, resulting in not only altered surface properties and corrosion resistance, but also enhanced wear resistance. However, a drawback of the PEO process is that excessive pore formation and porosity within the shell could potentially undermine the coating’s corrosion and wear resistances. Altering the electrolyte conditions by introducing micro- and nano-particles can serve as a valuable approach to decrease coating porosity and enhance their ultimate characteristics. This paper evaluates the particle adhesion, composition, corrosion, and wear performances of particle-incorporated coatings applied to magnesium alloys through the PEO method.

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Interaction between soliton and periodic solutions and the stability analysis to the Gilson–Pickering equation by bilinear method and $$\exp (-\theta (\alpha ))$$-function approach arising plasma physics

Cheng,

Manafian,

Singh

et al. 2024

Opt Quant Electron

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Employing Sisko non-Newtonian model to investigate the thermal behavior of blood flow in a stenosis artery: Effects of heat flux, different severities of stenosis, and different radii of the artery

Cited by 18 publications

References 17 publications

Integrating artificial intelligence with SLAM technology for robotic navigation and localization in unknown environments

Integrating artificial intelligence with SLAM technology for robotic navigation and localization in unknown environments

Unveiling the Effect of Particle Incorporation in PEO Coatings on the Corrosion and Wear Performance of Magnesium Implants

Interaction between soliton and periodic solutions and the stability analysis to the Gilson–Pickering equation by bilinear method and $$\exp (-\theta (\alpha ))$$-function approach arising plasma physics

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