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Titlebook: Intelligent Manufacturing and Mechatronics; Proceedings of the 2 Zamberi Jamaludin,Mohd Najib Ali Mokhtar Conference proceedings 2020 Sprin

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Firdaus Zainun,Samson Chan Kit Hwa,Nor Amylia Mohd Halmy,Choong Chia How,Muhammad Nasiruddin Mahyuddssen wur­ den, sowie Erläuterungen durch Beispiele stehen unter dem Text, durch ein Sternchen gekennzeichnet, oder im Anhang. Der Vortrag ist Fritz Schalk, der mir den Wiederanschluß an Deutschland in jeder Form möglich gemacht hat, in Verehrung und tiefer Dankbarkeit gewidmet. Que le Poete se fasse
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Predicting Outcomes in Patients with Traumatic Brain Injury Using Machine Learning Modelsr permanent impairments to the brain function. Accurate measurement of prediction for the outcomes of affected individual is highly desirable to plan and optimize treatment decision. The clinical experts predict the outcomes of brain injury patients with a high degree of accuracy based on their expe
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Blood Vessel Detection Monitoring System and Mobile Notification for Diabetic Retinopathy Diagnosispressure, cancer and glaucoma. The important part of the retinal is a blood vessel. Besides, the blood vessel study plays an important part in different medical areas such as ophthalmology, oncology, and neurosurgery. The significance of the vessel analysis was helped by the continuous overview in c
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Reduction of Salt-and-Pepper Noise from Digital Grayscale Image by Using Recursive Switching Adaptivlter, which is a type of non-linear filter. Standard median filter includes noisy pixels in calculating the median value for the restoration process. However, this will lead to an inaccurate result, where the noisy pixel values may be selected for the restoration. Another approach is by using recurs
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Predicting Serious Injuries Due to Road Traffic Accidents in Malaysia by Means of Artificial Neural he accidents, which could lead to permanent disability, might cause a long-term problem to the nation economy-wise. Predicting the number of serious injury cases in the future is important in understanding the trend of road traffic accidents to help policymakers in proposing a countermeasure. Time-s
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