electrical machines 2-ivanov smolensky.pdf

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electrical machines 2-ivanov smolensky.pdf

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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.

Seizure stage detection of epileptic seizure using convolutional neural networks

IJECEIAES

Augmented Reality (AR) with Augin Software.pptx

Mustafa Ahmed

Independent Solar-Powered Electric Vehicle Charging Station

siddharthteach18

8th International Conference on Soft Computing, Mathematics and Control (SMC 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Soft Computing, Mathematics and Control. The conference documents practical and theoretical results which make a fundamental contribution for the development of Soft Computing, Mathematics and Control. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

8th International Conference on Soft Computing, Mathematics and Control (SMC ...

josephjonse

NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024

EMMANUELLEFRANCEHELI

electrical installation and maintenance.

benjamincojr

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.

What is Coordinate Measuring Machine? CMM Types, Features, Functions

VIEW

Basics of Relay for Engineering Students

kannan348865

Interfacing Analog to Digital Data Converters ee3404.pdf

ragupathi90

We investigated the applicability and efficiency of the MLMC approach to the Henry-like problem with uncertain porosity, permeability and recharge. These uncertain parameters were modelled by random fields with three independent random variables. Permeability is a function of porosity. Both functions are time-dependent, have multi-scale behaviour and are defined for two layers. The numerical solution for each random realisation was obtained using the well-known ug4 parallel multigrid solver. The number of random samples required at each level was estimated by calculating the decay of the variances and the computational cost for each level. The MLMC method was used to compute the expected value and variance of several QoIs, such as the solution at a few preselected points $(t,\bx)$, the solution integrated over a small subdomain, and the time evolution of the freshwater integral. We have found that some QoIs require only 2-3 mesh levels and samples from finer meshes would not significantly improve the result. Other QoIs require more grid levels.

litvinenko_Henry_Intrusion_Hong-Kong_2024.pdf

Alexander Litvinenko

Raashid final report on Embedded Systems

RaashidFaiyazSheikh

Final DBMS Manual (2).pdf final lab manual

BalamuruganV28

Dynamo Scripts for Task IDs and Space Naming.pptx

Mustafa Ahmed

Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdf

JNTUA

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.

Seismic Hazard Assessment Software in Python by Prof. Dr. Costas Sachpazis

Dr.Costas Sachpazis

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.

Insurance management system project report.pdf

Kamal Acharya

Diploma Engineering Drawing Qp-2024 Ece .pdf