MC-L4-U3-LC2-10 Lesson 10 My Culture 10 memory

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Teacher Gabby

Engineering

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According to the World Health Organization (WHO), seventy million individuals worldwide suffer from epilepsy, a neurological disorder. While electroencephalography (EEG) is crucial for diagnosing epilepsy and monitoring the brain activity of epilepsy patients, it requires a specialist to examine all EEG recordings to find epileptic behavior. This procedure needs an experienced doctor, and a precise epilepsy diagnosis is crucial for appropriate treatment. To identify epileptic seizures, this study employed a convolutional neural network (CNN) based on raw scalp EEG signals to discriminate between preictal, ictal, postictal, and interictal segments. The possibility of these characteristics is explored by examining how well timedomain signals work in the detection of epileptic signals using intracranial Freiburg Hospital (FH), scalp Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) databases, and Temple University Hospital (TUH) EEG. To test the viability of this approach, two types of experiments were carried out. Firstly, binary class classification (preictal, ictal, postictal each versus interictal) and four-class classification (interictal versus preictal versus ictal versus postictal). The average accuracy for stage detection using CHB-MIT database was 84.4%, while the Freiburg database's time-domain signals had an accuracy of 79.7% and the highest accuracy of 94.02% for classification in the TUH EEG database when comparing interictal stage to preictal stage.

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This simple Python software is designed to assist Civil and Geotechnical Engineers in performing site-specific seismic hazard assessments. The program calculates the seismic response spectrum based on user-provided geotechnical and seismic parameters, generating a comprehensive technical report that includes the response spectrum data and figures. The analysis adheres to Eurocode 8 and the Greek Annex, ensuring compliance with international standards for earthquake-resistant design.

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A Coordinate Measuring Machine (CMM) is a precision measuring metrology machine used in manufacturing and quality control processes to precisely measure the geometric characteristics of objects. It operates on the principle of coordinate geometry, employing a probe to collect data points from the surface of an object to determine the dimensions, shapes, and positions of features, such as holes, slots, and surfaces. CMMs are essential tools for ensuring that manufactured parts meet design specifications and quality standards.

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The project entitled as “Insurance Management System” is developed in a manner to help all the Insurance Agency Members. It is developed using Visual Basic 6.0 as Front-End and MS Access as the Back-End tool. The system is designed in such a way that it accepts and stores the input data, process and produce output under the direction of a detailed step by step stored programmed instruction. This system includes Client Dairy, Client Details, Add new Client, Policy Details and Payment Details information’s and gives details based on the policy Number of the client. This system is necessary for Storing Information, assessing Workload and hence their efficiency. The System provides the adequate information to the concern for its smooth run.

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MC-L4-U3-LC2-10Lesson 10 My Culture 10
MC-L4-U3-LC2-10Lesson 10 My Culture 10

MC-L4-U3-LC2-10 Lesson 10 My Culture 10 memory

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