Deep Learning and Missing Data in Engineering Systems

Tshilidzi Marwala is the Vice-Chancellor and Principal of the University of Johannesburg. He was previously the Deputy Vice-Chancellor for Research and Internationalisation as well as Dean of Engineering and the Built Environment at the University of Johannesburg. Prior to that he was the Adhominem Professor of Electrical Engineering as well as the Carl and Emily Fuchs Chair of Systems and Control Engineering at the University of the Witwatersrand. He is a Fellow of The World Academy of Sciences of the Developing World (TWAS) as well as a distinguished member of the ACM. He holds a Bachelor of Science in Mechanical Engineering from Case Western Reserve University, USA, a Master of Engineering from the University of Pretoria, South Africa, and a PhD in Engineering from the University of Cambridge, UK. He was a postdoctoral research associate at the Imperial College of Science, Technology and Medicine, and a visiting fellow at Harvard University and Cambridge University.   Collins Leke holds a PhD and Master’s degrees from the University of Johannesburg. He also holds a Bachelor’s degree in Computer Science and Applied Mathematics from the University of the Witwatersrand. His research interests include the application of machine learning and computational intelligence to electrical and biomedical engineering, as well as in finance and insurance.

• Introduction to Missing Data Estimation.- Introduction to Deep Learning.- Missing Data Estimation Using Bat Algorithm.- Missing Data Estimation Using Cuckoo Search Algorithm.- Missing Data Estimation Using Firefly Algorithm.- Missing Data Estimation Using Ant Colony Optimization Algorithm.- Missing Data Estimation Using Ant-Lion Optimizer Algorithm.- Missing Data Estimation Using Invasive Weed Optimization Algorithm.- Missing Data Estimation Using Swarm Intelligence Algorithms from Reduced Dimensions.- Missing Data Estimation Using Swarm Intelligence Algorithms: Deep Learning Framework Analysis.- Conclusion.