A special session on “Application of Machine Learning: Multidisciplinary Domains” will be held as part of the 3rd International Conference on Intelligent Computing and Communication ICICC 2019 held at Dayananda Sagar University, School of Engineering
Near Kudlu Gate, Hosur Road, Bangalore.
The main aim of this special session is to introduce state-of-the-art and advanced techniques for developing software systems dealing with the machine and deep learning. The objective of this special session is to resolve the difficult task for effort estimation and reusability prediction.
The several techniques proposed by the different authors but required more intelligent techniques to predict the reusability estimation from the software code. Predicting the reusability metrics is one of the challenging tasks in software engineering domain.
According to recent studies, soft computing has become an important issue in the development of the software engineering field.
Soft Computing uses special techniques like neural networks, fuzzy logic, Support Vector
Machines, Evolutionary computation to minimize the execution periods of functional tasks. The aim of this special issue is to highlight the utility of different soft computing methodologies on software engineering problems.
For a long time, Software Engineering has served as a bridge between other disciplines and their information needs. Its application domain has broadened and evolved day by day, and also the complexity of the engaged problems has increased. Prediction of software quality related issues such as faulty classes, change proneness classes, refactoring classes, is an
area which has attracted the attention of several researchers.
- Dr.Neelamadhab Padhy, Asst Professor,GIET University, Gunupur
- Prof.R.P.Singh, Vice-chancellor, Sri Satya Sai University of Technology and Medical Science (SSSUTM, Sehore)
- Dr.Jitendra Sethlani, Assoc Professor ,Sri Satya Sai University of Technology and Medical Science (SSSUTM, Sehore), Dean School of Computer Science
Paper Submission Process
Please submit your paper (in word/pdf format) at email: firstname.lastname@example.org / email@example.com with ‘AMLiM (Application of Machine Learning: Multidisciplinary Domains: ’ mentioned in the subject line.
- Dr.Nilambar Sethi, Assoc Professor, GIET, University, Gunupur
- Dr.Pragnyaban Mishra, Assoc Professor, KL University, Guntur
For any further queries related to this special session, please contact the session chairs at:
E-mail ID: firstname.lastname@example.org, email@example.com, firstname.lastname@example.org
Mobile Number: 9437771064 / 7978557037