Special Session 5

Special session on : Machine Learning and Applications

Description

Machine learning (ML) helps to prepare computers to study and infer relevant data to make important decisions without being programmed to perform a task. This can be achieved by studying available data and then searching and/or identifying hidden patterns from it through data analysis and machine learning algorithms. This technology works for huge amount of growing data, stored data and even for processing computations too. Today, companies can make informed decisions by using ML algorithms to develop analytical models, which uncover connections, trends and patterns with minimal or no human intervention. Python, Java, R, C++, C, JavaScript, Scala, Julia etc. languages can be used to develop ML applications. ML provides various applications from a business perspective, medical perspective, social perspective etc. which becomes more accurate in predicting outcomes.

Scope and Topics

There are so many remarkable ways where we can use ML and AI applications to influence our everyday lives and notify business decisions and optimize operations for different company products. The proposed special session aims to bring together theories and applications of Machine Learning, that involves following topics, but are not limited to:

  • Adding Sounds in Silent Films
  • AI and ML
  • Automated Medical Diagnosis
  • Automatic Colorization
  • Automatic Handwriting Generation
  • Automatic Image Caption Generation
  • Automatic Machine Translation
  • Automatic TextGeneration
  • Automatically Adding Sounds to Silent Movies
  • Automatically writing Wikipedia articles,math papers, computer code and even Shakespeare
  • Automating Employee Access Control
  • Banking Domain
  • Character Text Generation
  • Colorization of Black and White Images
  • Cybersecurity Defense
  • Data Visualization Tools
  • Deep dreaming
  • Deep Learning in Healthcare
  • Dubbing Silent Films
  • Energy Market Price Forecasting
  • Financial Services
  • Health Care Benefits
  • Health Monitoring
  • Identification and Recognition in Photographs
  • Identifying Handwriting
  • Image caption generation
  • Image Recognition
  • Insurance
  • Intelligent System for Predictive Maintenance
  • Language Recognition
  • Language Translation
  • Machine Learning Algorithms
  • Machine learning for monitoring vehicle performance in hazardous conditions
  • Machine Learning for optimizing staff scheduling
  • Machine learning for predictive maintenance
  • Machine-assisted auto translation
  • Marine Wildlife Preservation
  • Marketing and Sales
  • Neural Networks for Brain Cancer Detection
  • NLP
  • Object Classification in Photographs
  • Object Detection in Images
  • Powering Infrastructure, Solutions and Services
  • Predict potential heart failure
  • Predicting demographics and election results
  • Predicting Earthquakes
  • Predictive Data Analytics
  • Real-time multi-personpose estimation
  • Recruiting Automation
  • Regulating Healthcare efficiency
  • Safe driving using mobile phones
  • Self-driving cars
  • Sentiment Analysis
  • Smart Speaking with Machine Learning
  • Speech Recognition
  • Time Series Forecasting
  • Training a chatbot engine
  • User Behavior Analytics
  • Voice generation
  • Voice Search & VoiceActivated Assistants

Special Session Chair(S)

Dr. Sharvari C. Tamane

Professor & Head
Dept. of Information Technology
MGMs Jawaharlal Nehru Engineering
College, Aurangabad Email: hodit@jnec.ac.in

Dr. Meghana V. Kshirsagar

Associate Professor
Dept. of CSE
Government College of Engineering,
Aurangabad
Email: kshirsagarmeghana@gmail.com

Special Session 5 Timelines

Submission Deadline 25th December 2018
Decision Notification 2nd January 2019
Registration and CRC 9th January 2019

Publication Of Proceedings

All SmartCom 2019 presented papers will be published in conference proceedings by Springer Smart Innovation, Systems and Technologies (SIST). Series: http://www.springer.com/series/8767
Springer Smart Innovation, Systems and Technologies (SIST) Series.

The books of this series are submitted to ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink **

All submissions should be made directly at the Session Chairs for Special Session: hodit@jnec.ac.in , kshirsagarmeghana@gmail.com

Position: Ln 54, Ch 1 Total: Ln 194, Ch 8742 resize