The book consists of high-quality papers presented at the International Conference on Computational Science and Applications (ICCSA 2019), held at Maharashtra Institute of Technology World Peace University, Pune, India, from 7 to 9 August 2019. It covers the latest innovations and developments in information and communication technology, discussing topics such as soft computing and intelligent systems, web of sensor networks, drone operating systems, web of sensor networks, wearable smart sensors, automated guided vehicles and many more.
Empathic Diary based on Emotion Recognition using Convolutional Neural
Network.- Detection of Ransomware attack: A Review.- Room Service Robot.-
Comparative Analysis For An Optimized Data Driven System.- Fake Email & Spam
Detection: User Feedback with Naives Bayesian Approach.- C-ASFT:
Convolutional Neural Networks based Anti-Spam Filtering Technique.- Cognitive
Control of Robotic-Rehabilitation Device using Emotiv EEG Headset.-
Non-Stationary Data Stream Analysis: State-of-Art Challenges and Solutions.-
Parallel Job Execution To Minimise Overall Execution Time And Individual
Schedule Time Using Modified Credit Based Firefly Algorithm.- Novel
Non-Invasive Approach for Diagnosis of Medical Disorders based on De
Broglies Matter Waves & Water Memory.- Tamper Detection in Cassandra and
Redis Database- A Comparative Study.- Tamper Detection In MongoDB And CouchDB
Database.- Recommender System in eLearning: A Survey.- A Realistic
Mathematical Approach for Academic Feedback Analysis System.- Fake News
classification on Twitter using Flume, N-gram analysis and Decision Tree
machine learning technique.- Swarm Intelligence Based Systems: A Review.-
Internet of Things: A Survey on Distributed Attack Detection using Deep
Learning Approach.- Precise Orbit and Clock Estimation of Navigational
Satellite using Extended Kalman Filter Applicable to IRNSS NavIC Receiver
Data.- Effects of Color on Visual Aesthetics Sense.- Performance Evaluation
of Video Segmentation Metrics.- Suspicious Activity Detection Using Live
Video Analysis.- A Review on Using Dental Images as A Screening Tool for
Osteoporosis.- An expert diagnosis system for Parkinson's disease using
Bagging based Ensemble of Polynomial Kernel SVMs with Improved GA-SVM
Features Selection.- Case Study: Use of AWS Lambda for Building a Serverless
Chat Application.- Detection and Classification of Diabetic Retinopathy Using
Alex Net architecture of Convolutional Neural Networks.- Contextual
Recommendation and Summary of Enterprise Communication.- Cybersecurity and
Communication Performance Improvement of Industrial-IoT Network Towards
Success of Machine Visioned IR 4.0 Technology.- Dynamic Load Balancing in
Software Defined Networks using Machine Learning.- Analysis and Comparison of
Timbral Audio Descriptors with Traditional Audio Descriptors Used in
Automatic Tabla Bol Identification of North Indian Classical Music.-
Sentiment Analysis on Aadhaar for Twitter Data A Hybrid Classification
Approach.- Song Recommendation System Using Hybrid approach.- Arrhythmia
Detection using ECG Signal: A Survey.- Towards Designing the Best Model for
Classification of Fish Species using Deep Neural Networks.- A Study on
Attribute Based Predictive Modelling for Personal Systems & Components A
Machine Learning & Deep Learning Based Predictive Framework.- Text
Categorization Using Sentiment Analysis.- Automated Real Time E-mail
Classification System based on Machine Learning.- Smart Detection Of Parking
Rates And Determining The Occupancy.- Deep Learning-based Approach to
classify Praises or Complaints from Customer Reviews.- Psychological
Behavioral Analysis of Defaulter Students.- TNM Cancer Stage Detection from
Unstructured Pathology Reports of Breast Cancer Patients.- Restructuring of
Object Oriented Software System using Clustering Techniques.- Analysis of
System Logs for Pattern Detection and Anomaly Prediction.- Phishing
Detection: Malicious and Benign Websites Classification using Machine
Learning Techniques.- Automation of Paper Setting and Identification of
Difficulty Level of Questions and Question Papers.
Prof. Subhash Bhalla joined the faculty of the School of Computer and Systems Sciences at Jawaharlal Nehru University (JNU), New Delhi, in 1986. He was a Visiting Scientist at Sloan School of Management, Massachusetts Institute of Technology (MIT), USA (19871988). He is a member of the Computer Society of IEEE and SIGMOD of ACM. He currently works at the Department of Computer Software at the University of Aizu. He has lectured at numerous companies on conducting feasibility studies and adopting modern techniques. He has received several research grants, and his research interests include creating user interfaces for web users and transaction management systems for mobile computing, transaction management and algorithmic designs for distributed real-time systems. He is also pursuing performance evaluation and modelling of distributed algorithms.
Dr. Peter Kwan is Honorary Principal and Chief Advisor at Hong Kong College of Engineering. Previously, he also worked at Queen Mary Hospital and Wheelock Properties Ltd. He completed his B.Sc.Eng. at University of Glasgow in 1984; M.B.A. at the University of Strathclyde in 1990; and Ph.D. at the University of Newcastle in 2008. He has received numerous awards and honors for his academic achievements.
Dr. Mangesh V. Bedekar received his Ph.D. in Computer Science and Engineering from BITS Pilani, India. Prior to the Ph.D. program, he graduated from SSGMCE, Shegaon and completed his masters at BITS Pilani, India. He currently heads the School of Computer Engineering and Technology at MIT-WPU. His primary research interests include web data mining, web personalization, user interface design, user interface improvements, browser customization, affective computing and information visualization. He has authored numerous national and international publications.
Dr. Rashmi Phalnikar is an Associate Professor at School of Computer Engineering and Technology at MIT-WPU, Pune. She completed her Ph.D. in Computer Engineering at SV NIT Surat. Her research interests include data science and analysis and software engineering. She has published more than 40 research papers in international journals and conferences and has completed a research consultancy project.
Ms. Sumedha Sirsikar teaches at School of Computer Engineering and Technology at MIT-WPU, Pune. She has published 38 research papers in various renowned journals and 26 papers at international conferences. Her research interests include of computer networks and security and wireless sensor networks.
