Abstract Machine learning is quickly becoming an important tool for diagnosis and prognosis
of various medical conditions. Complex input output mappings are dealt in deep learning …

Deep generative models, such as deep Boltzmann machines, focused on models that
provided parametric specification of probability distribution functions. Such models are …

Manual methods for the task of brain tumor identification and analysis require a high amount
of domain knowledge, are expensive, time consuming, and at times, inaccurate. Artificial …

Throughout this chapter the objective is to bring deep learning techniques and algorithms,
specifically CNN, which bring about ease for a researcher with respect to time and …

Recurrent neural networks (RNNs) were designed for dealing with time-series data and
have recently been used for creating predictive models from functional magnetic resonance …

DNA sequencing deals with figuring out the order of arrangement of the bases in the DNA.
These bases are the building blocks of DNA molecules and their arrangement mostly …

Garbage recycling is a key aspect of maintaining our environment in good condition. Poor
waste management has the potential to have a significant negative effect on the …

Healthcare is of paramount importance globally. Various diseases, whether pandemic,
epidemic, or common, pose significant threats to human society. Unlike pandemics or …

Various kinds of Cancers have been the most dreaded diseases, which are responsible for a
substantial portion of deaths year after year. Early detection of Cancer is crucial in saving the …

In today's world, most of the things we buy, whether we talk about buying apparels, home
decor or kitchen utensils, are through the online mode. E-commerce websites play a major …