About the Book
Current trends in application problems in engineering, science and technology are also
reaching into the areas of economics, finance and, especially the social sciences. This
edited book focuses on well-known and new methodologies of optimization techniques in humanized computing that are used to resolve some of the very complicated and hard
problems faced today. The book reviews present and developing deep model-based
methods of mathematics and the less model-based, also so-called smart or intelligent
algorithms with their roots in the engineering disciplines, in computer science, and
informatics and how combing the strengths of humans and computers can create
powerful solutions.
Key Features:
Interdisciplinary coverage
Focus on applications
includes case studies and real life implemented solutions
Reviews present state of play and future challenges
One of the few books solely focused on humanised computing.
Table of Contents:
1. ANN approach to Sensor Deployment and Transmission
Deepa Rajasekar , SRM Institute of Science and Technology, Tamilnadu, India
2. ANFIS based optimization of hybrid solar and wind renewable enery systems
Diriba Kajela Geleta, Department of Mathematics, Madda Walabu University, Oromia,
Ethiopia
3. ACO based modeling of wind energy harvesting system
Tigilu Mitiku, Department of Mathematics, Bule Hora University, Bule Hora, Ethiopia
4. Prominence of Sentiment Analysis in Web-based Data using deep learning
Bazeer Ahamed B ,AL musanna college of technology, Oman
5. Smart agriculture with ANFIS for decision making based on sensor data
Parijata Majumdar, Department of Computer Science and Engineering, National Institute
of Technology, Agartala, India
6. A hybrid Grey Wolf Optimization and ACO for Global Optimization
Hisham Shehadeh,Departments of Computer Science and Computer System and
Technology, Faculty of Computer Sciences and Informatics, Amman Arab
University, Amman, Jordan
7. Model reduction and controller scheme development of permanent magnet
synchronous motor drives in the delta domain using a improved bat algorithm
Souvik Ganguli,Department of Electrical and Instrumentation Engineering, Thapar
Institute of Engineering and Technology, Patiala-147004, Punjab, India
8. Improved Grey wolf Optimization Algorithm: A bio-inspired optimizer Mehmet Cem Catalbas ,Electronics Technology, OSTIM Technical University,
Ankara/Turkey
9. GWO method for identifying the optimal threshold with an application to email
classification
Oluwafunmibi O. Fasanya, Department of Statistics, Federal University of Technology,
Akure, Nigeria.
10. Design & Development of ANN Model for Computer Based Control Systems in a
Multivariable Chemical Process
Mandrita Mondal, Electronics and Communication Sciences
Unit Indian Statistical Institute, Kolkata, India
11. ANFIS based application of group method of data handling for forecasting
permeate flux (%) of Disc shaped membrane
Anirban Banik, Department of Civil Engineering, National Institute of Technology Agartala,
jirania, Tripura (W) 799046, India
12. Soft Computing on Complex Plane For Cryptographic Applications
Tun Myat Aung, Faculty of Computer System and Technology, University of Computer
Studies, Yangon (UCSY), Myanmar
13. Assessing mental workload based on nature inspired computing
Souvik Das, Indian Institute of technology, Kharagpur, India
14. Smart and sustainable Computing for Precision Agriculture
Priyanka Gupta , Manipal University Jaipur, India
15. Cognitive Services Applied as Customer Support Service Chatbot
Tomislav Mesic, Algebra University College, Zagreb, Croatia
16. Monitoring the number and duration of power outages and voltage deviations in
smart energy systems using machine learning
Vadim Bolshev, Federal Scientific Agroengineering Center VIM, Moscow, Russia
17. Design of a Distribution Network Using neural network composition
Cruz-Mejia, Universidad Autónoma del Estado de México, 57000 Nezahualcoyotl, MEX,
Mexico
18. Web prefetching through efficient prediction by deep learning
Adrian Florea, Computer Science and Electrical Engineering Department, Lucian Blaga
University of Sibiu, Sibiu, Romania
19. Handling Data Heterogeneity in Electricity Load Disaggregation via nature
inspired algorithms
Kwok Tai Chui, The Open University of Hong Kong, Hong Kong
20. Machine Learning Models as a Tool for Churn Reduction and Custom Product
Development in Telecommunication Industries
Goran Klepac, Raiffeisenbank Austria, Croatia
21. Radial Basis Function Neural Networks for Two-Phase Flow Regime Identification
Tatiana Tambouratzis, Department of Industrial Management & Technology, University of
Piraeus, 107 Deligiorgi St., Piraeus 185 34, Greece 22. ANN based optimization of logistics strategy of a company
Joanna Sadłowska-Wrzesińska, Poznan University of Technology, Faculty of Management
Engineering, ul. Strzelecka 11, 60-965, Poznań, Poland
23. Fuzzy design methods of reducing human error in practice
M. Butlewski, Poznan University of Technology, Poznań, Poland
24. Deep learning for prediction strategies in gene-environment networks
Erik Kropat, Institute for Applied Computer Science, Universität der Bundeswehr
München, 85577 Neubiberg, Germany
