Healthcare systems worldwide generate vast amounts of data from many different sources.
Although of high complexity for a human being, it is essential to determine the patterns and …

Extending technologies and data development culminated in the need for quicker and more
reliable processing of massive data sets. Machine Learning techniques are used …

Computer-aided detection using Deep Learning (DL) and Machine Learning (ML) shows
tremendous growth in the medical field. Medical images are considered as the actual origin …

Viral diseases are common and natural in human it spreads from animals and other
humans. It seeks to identify the proper, reliable, and effective disease detection as quickly as …

The digital transformation of the energy sector toward the Smart Grid paradigm, intelligent
energy management, and distributed energy integration poses new requirements for …

As non-renewable energy sources are in the verge of exhaustion, the entire world turns
towards renewable sources to fill its energy demand. In the near future, solar energy will be …

While MALDI-TOF mass spectrometry (MS) is widely considered as the reference method for
the rapid and inexpensive identification of microorganisms in routine laboratories, less …

Decision making in case of medical diagnosis is a complicated process. A large number of
overlapping structures and cases, and distractions, tiredness, and limitations with the human …

Application of machine learning technologies in detection and prediction of dementia may
provide an advantage to psychiatry and neurology by promoting a better understanding of …

People are increasingly getting type II diabetes mellitus (T2DM) due to unhealthy food
styles, decreased outdoor activities caused by the COVID-19 pandemic, and unawareness …