Cancer is a class of diseases, which driven by change in cells the body and increase beyond normal growth control. Breast cancer one frequent types cancer. Prognosis breast recurrence highly required to raise survival rate patient suffering from With advancement technology machine learning techniques, diagnosis detection accuracy has improved. Machine (ML) techniques offer various probabilistic statistical methods that allow intelligent systems learn reoccurring past experiences detect...

During the recent advancement in terms of technology and its real world application, Wireless Sensor Network(WSN) has made a special niche for itself. WSN offers variety applications solutions. To have an optimum performance tradeoff is required between power consumption percentage area covered. coverage nodes are expected to be placed such way that maximum covered with minimum number nodes. In this manuscript Modified Particle Swarm Optimization been proposed idea negative velocity. The...

The EEG signal consist various frequency bands, which represents human activities like emotion, attention sleep stage etc. For the detection of epileptical seizures, it is required to perform classification on basis segments. This paper, presents performance analysis gamma band in using short-time fourier transform (STFT). It also gives comparison methods and achieves very good accuracy with some techniques. Analysis has been performed following stages STFT, extraction band, statistical...

Static Random Access Memory (SRAM) is primarily used as a memory storage element, which susceptible to radiation-induced Single Event Upsets (SEUs). Hence, robust SRAM bit-cell design difficult task address the space radiation environment. Furthermore, transistor's size moves into nanometer regimes, new challenge like Multiple Effects (SEME's) evolved in SRAMs. SEME's make of serious challenge. In this article, novel Radiation Hardened By Design (RHBD) proposed based on polarity upset...

Cancer is a collection of diseases which obsessed by uncontrolled growth cells in the body to produce abnormal cells. Breast cancer most common among women. In cancer, spread other part that advance stage cancer; at this survival rate very low. So, detection early highly required reduce mortality rate. Here, Mortality means death because cancer. With improvement innovation and machine learning techniques, has made advances. Machine (ML) allows system learn on basis past experiences take...

The health Internet of Things (IoT) lays the basis for emergency care epileptic patients.The security data transmission in network calls a robust monitoring technique.This paper proposes model patients, using cloud-based IoT system.To ensure security, watermarking was carried out through discrete wavelet transform-singular value decomposition (DWT-SVD), followed by short time Fourier transform (STFT).The proposed scheme, which is based on STFT and DWT-SVD, verified electroencephalography...

In this study, gamma band (30-60 Hz) is used for detection of epileptical seizures using Haralick features. Most the previous methods are based on whole frequency spectrum detection. This work use only high electroencephalogram (EEG) subband seizure image descriptors. To convert one dimensional EEG data into Short-time Fourier transform (STFT) has been used. Gamma cut from time (t-f) plane and features as descriptors to fed in decision tree classifier. The results have evaluated receiver...