Detection of Parkinson’s disease is often established on clinical monitoring and evaluation of medical signs, which include an indication of different motor signs. Furthermore, the ordinary point of view encounters r...
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Lung cancer, a pervasive global health concern, requires effective early detection and classification methodologies to improve patient outcomes. This project addresses this challenge by developing a comprehensive fram...
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Solar energy conversion to thermal energy has enormous potential for meeting the need for heat energy in a variety of applications. A parabolic trough solar collector (PTSC) has proven to be effective in solar to ther...
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Current smart parking systems primarily use technologies like ultrasonic sensors, RFID, and image recognition to detect parking space occupancy and assist drivers in finding available spots. These methods often face c...
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The inverter studied and simulated in this paper is a 3-phase-quasi-z-source inverter. It is preferred due to certain qualities like its simple structure and because of having a continuous input current, common ground...
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To solve the problem that external systematic errors of the optical camera cannot be fully estimated due to limited computing resources,a unified dimensionality reduction representation method for the external systema...
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To solve the problem that external systematic errors of the optical camera cannot be fully estimated due to limited computing resources,a unified dimensionality reduction representation method for the external systematic errors of the optical camera is proposed,and autonomous relative optical navigation is *** camera translational and misalignment errors are converted into a three-dimensional rotation error,whose differential model can be established through specific attitude control and appropriate ***,the rotation error and the relative motion state are jointly estimated in an augmented Kalman filter *** with the traditional method that estimates the camera translational and misalignment errors,the proposed method reduces the computational complexity in that the estimated state dimension is ***,as demonstrated by numerical simulation,the estimation accuracy is improved significantly.
The knee joint is susceptible to various pathological conditions that alter its biomechanical properties, leading to changes in vibrational characteristics detectable through Vibroarthrographic (VAG) signals. VAG sign...
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In this research endeavor, the primary objective is to craft a dynamic nonlinear model for the Magnetic Levitation System. The proposed approach involves the development of both nonlinear and linear state-space contro...
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Healthcare record administration faces many obstacles, including data manipulation, security vulnerabilities, and the risks associated with centralized storage. To securely store and manage health records, we provide ...
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This research work proposes a novel approach to sonic log prediction in the oil and gas industry, emphasizing the importance of accurate DTC (Compressional Sonic Transit Time) and DTS (Shear Sonic Transit Time) values...
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