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In the field of data mining and computational intelligence, many researchers have developed a lot of feasible solutions for the breast cancer detection and classification. Breast Cancer is a malignant tumour that develops from the cells of the breast. In underdeveloped, developing and developed nations, the major cause of death among women is due to breast cancer. To mitigate the death caused by breast...
This paper presents a comprehensive analysis of performance characteristics under varying load condition for asynchronous generator. Performance of asynchronous generator depends on variation in prime mover speed, excitation capacitance and load. Estimation of magnetic characteristics involve complicated mathematical computation due to nonlinear nature of magnetization curve. It provides an opportunity...
Characterized by transient, sudden and recurrent electrical disturbances in the cortical regions of the brain, epilepsy can be mentioned as one of the most common neurological disorders. Certain disorders in the nervous systems also cause this fatal condition epilepsy. The activities of the brain can be monitored through Electroencephalogram (EEG) and thus it has become a vital tool for the analysis...
EEG is the most commonly used technique for the monitoring of the brain activities in the case of epilepsy. Generally, the visual encephalographers and the expert neurologists analyze the EEG records and it is quite time consuming. In the EEG recordings, several noisy characteristics are present making it difficult for the experts to differentiate between an artifact and seizure in raw EEG signals...
The aim of this paper is to give a performance analysis by considering the advantage of Code Converters as a feature extraction technique and Sparse Representation Classifier (SRC) as a post classifier for the classification of the epilepsy risk levels obtained from Electroencephalography (EEG) signals. A group of related or similar disorders which is generally characterized by the occurrence of frequency...
Epilepsy is the most commonly occurring neurological disorder when compared to other neurological disorders like dementia and chronic headaches and is characterized by recurrent seizures. To understand the mechanism of a particular seizure, the prediction of epileptic seizure plays a significant role in it. The EEG signals are often relied upon to study and analyze brain's behavior during seizures...
Epilepsy is the most prevalent neurological disorder affecting the autonomous nervous system to a higher extent. Characterized by the sudden onset of recurrent, regressive and transient disturbances epilepsy occurs due to the hyper synchronization of the neurons in the cortical regions of the brain. The epileptic patient always experiences continuous electrical discharges in the brain. The recurrent...
This paper proposes a method to design optimally tuned fractional order as well as integer order proportional-integral-derivative (PID) controllers for twin rotor-multi-input multi-output system (TRMS), Two fractional order PID (FOPID) controllers for one degree of freedom (1-DOF) in horizontal plane and 1-DOF in vertical plane are designed separately using linear model. Design criterion consists...
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