Over the last decade, increasing interest has been attracted towards the application of
artificial intelligence (AI) technology for analyzing and interpreting the biological or genetic …

In cancer, one of the main barriers to effective chemotherapy is inefficient drug delivery. The
delivery of drugs to solid tumors involves various biochemical, biophysical, and mechanical …

In this paper, an online self-organizing fuzzy modified least-square (SOFMLS) network is
proposed. The algorithm has the ability to reorganize the model and adapt itself to a …

Despite the highest classification accuracy in wide varieties of application areas, artificial
neural network has one disadvantage. The way this Network comes to a decision is not …

In this research work, a novel framework for the construction of augmented Fuzzy Cognitive
Maps based on Fuzzy Rule-Extraction methods for decisions in medical informatics is …

Pattern recognition, machine learning and artificial intelligence approaches play an
increasingly important role in rational drug design, screening and identification of candidate …

People can understand complex structures if they relate to more isolated yet understandable
concepts. Despite this fact, popular pattern recognition tools, such as decision tree or …

Competition and globalization imply a very accurate production and sourcing management
of the Textile–Apparel–Distribution network actors. A sales forecasting system is required to …

The Cross-Industry Standard Process for Data Mining (CRISP-DM) is a widely accepted
framework in production and manufacturing. This data-driven knowledge discovery …

Building Energy Management Systems (BEMSs) are essential components of modern
buildings that are responsible for minimizing energy consumption while maintaining …