special session 3

special session 3

Special Session Title: Machine Learning and Applications

Brief 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.

Related 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 Text Generation
  • 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-person pose 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 & Voice-Activated Assistants
  • AI in Defense
  • AI in radar and automobiles
  • AI in radar and satellite communications
  • Grammatical based evolutionary Computation
  • Machine learning models based on grammatical evolution
  • Optimisation in grammatical evolutionary systems
  • Fine tuning of grammatical evolutionary parameters
  • Evolution of language independent functions from grammars

Names of organizers

Dr. Sharvari C. Tamane

Professor & Head
Dept. of Information Technology
MGMs Jawaharlal Nehru Engineering College, Aurangabad

E-Mail: hodit@jnec.ac.in

Email of main contact person : hodit@jnec.ac.in

Brief bio(s) of organizer(s):

Dr. S C Tamane : Dr. Sharvari C Tamane is currently working as a Professor and the Head of Department of Information Technology in MGMs Jawaharlal Nehru Engineering College (JNEC), Aurangabad, affiliated to Dr. Babasaheb Ambedkar Technological University, Lonere, Maharashtra, India. She has 22 years of teaching experience in JNEC, Aurangabad. She is the active member of “Board of Studies” for “Computer Science & Engineering’ for Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, and Dr. Babasaheb Ambedkar Technological University, Lonere. She has also worked as an Editorial Board Member for various International Journals. She has edited two books on “Privacy and Security Policies in Big Data” and “Big Data Analytics for Smart and Connected Cities” with IGI Global, USA. She is the author of two chapters “The Basics of Big Data & Security Concerns” and “Smart and Connected Cities Through Technologies” published by the above-mentioned edited books by IGI Global. She is author of a book, “Data Structures Using C” and published more than 50 research papers in international conferences and journals. She has also worked as a Reviewer for many SCIE, Scopus indexed journals. She has been invited as a panelist for the:International Conference at Mauritius in the panel discussion Towards “Sustainable Development Goals in India” and International conference on "Application of Data Science Across Domain", on topic "Upskilling, Careers and Career Path in Data Science" organized by Women in Data Science (WIDS) 2019, Pune. She has also been invited to many institutes to deliver expert talks on various research areas. She has organized many special sessions in International conferences and delivered webinars in various colleges. She has been also invited as an expert speaker for State/National/International level Seminars/Conferences/Workshops at various institutes. She has also worked as a Program Chair for IEEE and CSI sponsored international conferences, held at MGMs' JNEC. Her area of research includes (but not limited to) Big Data, Cloud Computing, Algorithms, Advanced Database Management Systems etc.

Potential participants:

Academicians, Industrialists, Research Scholars, UG/PG Students etc.

Special Session Timelines:

  • Submission Deadline : 30th October 2019
  • Decision Notification : 20th November 2019
  • Registration and CRC : 30th November 2019

Publication of Proceedings

All ICICT 2020 presented papers for the Special Session 3 will be published in conference proceedings by Springer AISC. ISBN Number - 2194-5357 Series
http://www.springer.com/series/11156

All submissions should be made directly at the Session Chair(s) for Special Session 3
E-Mail ID: hodit@jnec.ac.in and kshirsagarmeghana@gmail.com

Important Note - Papers submitted directly to conference will not be considered under Special Session 3.