A REVIEW ON EPILEPTIC SEIZURES DETECTION USING DEEP LEARNING

Epilepsy is a life-threatening chronic disease with repeated seizures. This in effect affects the persons health. Various screening approaches such as EEG (Electroencephalogram) and MRI (Magnetic Resonance Imaging) are employed to detect the seizure patterns based on the chemical variations in the brain. In this approach, EEG is regarded as the primary diagnostic test for Read More …

REVIEW OF GRID TIED SOLAR PV WITH VOLTAGE DROP CONTROL TECHNIQUES FOR DC MICROGRID

This work present a closed-loop method is applied to control the multilevel inverter which injects power into the grid. The voltage and current controls are implemented for controlling the system by using Droop control, master slave control and average current sharing control. Among them Droop control techniques is very popular due to better communication and Read More …

OPTIMIZATION OF WORKING PARAMETER OF VCR CI ENGINE FUELED WITH KARANJA BIODIESEL BLEND FOR BTE USING TAGUCHI’S TECHNIQUE

This Present research work is a study about the parametric optimization of BThE using a one-cylinder Diesel engine for Karanja Biodiesel & Diesel mixture supported by Taguchi method. B0 (100% Diesel, 0% Biodiesel on volume basis), B50, B100 is used for practical work. Before the work started, Density & Calorific Value of the blend is Read More …

DATA SECURITY IN IOT A FOCUS ON LIGHTWEIGHT ENCRYPTION

The Internet of Things (IoT) has witnessed unprecedented growth, bringing numerous benefits and challenges, particularly in terms of data security. This review paper examines key aspects of data security in IoT, including data integrity, authentication, access control, confidentiality, and encryption methods, with a specific focus on lightweight encryption .By analyzing the state of the art Read More …

ANALYTICAL SOLUTION OF THE SPACE-TIME FRACTIONAL TELEGRAPH EQUATION INVOLVING MODIFIED RIEMANN-LIOUVILLE FRACTIONAL DERIVATIVE

In this paper, we have considered the space-time fractional telegraph equation and we have employed the fractional Adomian decomposition technique to derive solutions in series form. The fractional derivatives used in both time and space are modified Riemann-Liouville derivatives. The solutions thus obtained are in compact form and expressible in terms of the well-known Mittag-Leffler Read More …

A COMPARATIVE STUDY OF PCA & LDA HUMAN

In this research, we investigate face recognition with the Principal Component Analysis (PCA) technique and with Linear Discriminant Analysis (LDA) with Euclidean distance as the classifier. Many authors have used the Olivetti Research Laboratory (ORL) database and FERET face databases for these methods. Face recognition software employs memory to identify a given face image, usually Read More …