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