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Proceeding of International Conference on Computational Science and Applications ICCSA 2019
- Available as
- Online
- Summary
-
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 Un...
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.
Details
- Creator
- edited by Subhash Bhalla, Peter Kwan, Mangesh Bedekar, Rashmi Phalnikar, Sumedha Sirsikar
- Format
- Books
- Language
- English
- Contributors
- Publication
-
- 1st ed. 2020
- Singapore : Springer Nature Singapore : Imprint: Springer, 2020
- Physical Details
-
- XVI, 460 p. online resource
- text file PDF
- ISBNs
- 9789811507892, 9789811507908, 9789811507915, 9789811507922, 9811507902
- OCLC
- on1135666693
- 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 Broglie’s 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 Praise’s or Complaint’s 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