2021 Ieee Conference On Computational Intelligence In Bioinformatics And Computational Biology Cibcb

2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

This conference will bring together top researchers, practitioners, academics and students from around the globe to discuss the latest advances in the field of Computational Intelligence and its application to real world problems in biology, bioinformatics, computational biology, chemical informatics, bioengineering, and related fields Computational Intelligence approaches include artificial neural networks, fuzzy logic, evolutionary algorithms, hybrid algorithms, and other emerging techniques The use of computational intelligence must play a substantial role in submitted papers Submissions will be peer reviewed and accepted papers will be published in the conference proceedings and will be indexed in IEEE Xplorer Selected papers, after a substantial extension, will be considered for publication in journal special issues Prospective authors are invited to submit papers in IEEE format, including results, figures, and references

AI Versus Epidemics

This book presents algorithms and tools that are designed to model and extract information from personal contact networks, which represent which individuals in a population are physically in contact with one another. The authors developed these tools based on research they conducted during the COVID-19 pandemic, with the goal of improving responses to epidemics in the future. The book provides methods for modelling the transmission of infection across a population. The authors explain how an epidemic model can be used to strategically distribute vaccines and minimize the spread of a virus. The book shows how evolutionary computation, graph compression, and network induction can be utilized to manage issues that arise from an epidemic.