In today's world, a massive amount of data is available through various fields in the form of
text, images and audio. All this data can be a vast repository of information when analysed to …

Intrusion detection systems (IDSs) have been studied widely in the computer security
community for a long time. The recent development of machine learning techniques has …

It is well known that the safety, reliability and energy efficiencies are the prime concerns
while designing and deploying wireless sensor networks. Therefore, unattained features …

Face recognition, as one of the major biometrics identification methods, has been applied in
different fields involving economics, military, e-commerce, and security. Its touchless …

The intrusion detection problem is one of the core problems in cyber-security. In recent
years, there are many research studies that leverage the power of supervised machine …

Anomaly detection in data streams comes with different technical challenges due to the data
nature. The main challenges include storage limitations, the speed of data arrival, and …

An intrusion detection system is continuous observation of system or over the network
assessment of an intruder or any other attacks. In this paper, design, and analysis of …

Multidisciplinary approach of artificial intelligence is revolutionizing the traditional
technologies used in medical image computing, radiology imaging, medical diagnoses and …

Alzheimer ailment is forward moving mind issue dementia, neurodegenerative, irreversible
infection. Dementia is fundamental driver of Alzheimer's sickness which impact the day by …

Alzheimer's disease is an irreversible, progressive brain disorder that slowly destroys
memory and thinking skills. Image processing and deep learning are widely used in the …