E-raamat: Advances in Computational Intelligence and Informatics: Proceedings of ICACII 2019

Extraction of Tumor Chunk Using Image Segmentation Thresholding and
HSV Color Space.- Predictive & Interactive IOT Diagnosis System with AI and
ML Tools: Review.- Multi Agent Data Mining using Asymmetric AES Algorithm in
Cloud Computing.- A Novel Architecture for a Two-Pass Opinion Mining
Classifier.- QoS based Routing Algorithm for Software Defined Network using
Ant Colony optimization.- An Integrated AdaBoost Algorithm for Down Syndrome
Disease Recognition.- A Comprehensive Healthcare Model for a Smart Left
Ventricle Assisting Device.- Moving Hand Segmentation from H.264 Compressed
Sign Language Videos.- CNN-Based Real-time Indian Sign Language Recognition
System.- Sarcasm Detection using Multiple Occurrences of Emojis and
Hashtagged Words.- Multiclass Multiple Object Tracking.- Dimensionality
Reduction in Hyperspectral Images using Auto-encoders.- Improved Registration
of Infrared Images using EOH Descriptor.- Fine Grained Analysis of Bridging
Social Capital with Triadic Analysisin a Co-Author Network.- Accumulation of
Methodologies for Intensifying the Lifetime of the Wireless Sensor Networks.-
A Multifactor Biometric Based User Authentication Protocol for IOT Networks.-
Leveraging Topic Models with Novel Word Embeddings for Effective Document
Clustering.- Survey on Access Control Mechanisms in Cloud Environments.-
Sales Analysis and Performance of Super Store using Qlik Geo Analytics.-
Assessment of Crop Rotation Using Multi Polarized Sentinel-1 Temporal SAR
Data Over Parts of Kumaun Region of Uttarakhand.- Spatiotemporal and Delay
Dynamics on a Prey Predator Fishery Model.- An Efficient Intrusion Detection
System with Convolutional Neural Network.- Supervised Machine Learning
Approach for Identification of Malicious URLs.- A Unified Framework for
Stress Forecasting Using Machine Learning Algorithms.- Investigation and
Analysis of Crop Maintenance Using IoT & KNN Techniques.- Enhancement of
Anisotropic Diffusion Filtered Cardiac MR Images using Contrast based Fuzzy
Approach.- Social Media Ecosystem: Review on Social Media Profiles Security
and Introduce a New Approach.- An Investigation on Managing Patient Flow at
Hospital Emergency Care Unit using Tree-Based Data Mining Techniques.- A Path
Based Model for Link Prediction in Location Based Social Networks.-
Predicting the Cost of Pre-owned Cars using Linear Regression Mechanisms in
Machine Learning.- Bio-Inspired High Utility Item Framework based Particle
Swarm Optimization Tree Algorithms for Mining High Utility Itemset.- On
Atom-Bond Connectivity Invariant of Graphs.- Theoretical Design and
Experimental Study for Urban Data Management using Energy-Saved IoT Big
Data.- An Effective Approach for Security Attacks Based on Machine Learning
Algorithms.- Class Based Associative Classification using Super Subset to
Predict the By-Diseases in Thyroid Disorders.- Recommendation of Diet using
Hybrid Collaborative Filtering Learning Methods.- Classification of Natural
Images Using Machine Learning Classifiers on Graph Based Approaches.-
Convolutional Neural Network Based Diagnosis of Alzheimers Disease using
Time Frequency features.- Humanly Evolving Robotics with Angular Sensor
Control (HERASC).- Post-occupancy Evaluation of Building Facilities in a
University Community using an Electronic Platform.- Internet of Things:
Demystifying Smart Cities & Communities.- Comparative Analysis of
Optimizations of Antecedents and Consequents of Fuzzy Inference System Rules
Lists using Genetic Algorithm Operations.- Uses and Impact of Social Media on
Work Performance of Low Literate People.- A Comparative Analysis on Rumor
Microblogs Detection from Social Network Sites.- Smart Sprint Methodology for
Financial Management System Development.- A Novel Infrared Image Segmentation
Method for Identifying the Faults in the Systems.

Dr. C. Raghavendra Rao is a Professor at the School of Computer & Information Sciences (SCIS), University of Hyderabad. He received his bachelors degree from Andhra University, and his masters and Ph.D. from Osmania University, Hyderabad. A Fellow of the IETE, APAS and senior member of the IRSS, his interests include operations research, stochastic processes, computer graphics, artificial intelligence and rough computing. He is a Professional Member of the ACM, Society for the Development of Statistics, Indian Society for Probability and Statistics, Indian Mathematical Society, and many more.





Dr. Salvatore Distefano is an Associate Professor at the University of Messina, Italy, and Fellow Professor at Kazan Federal University, Russia, as well as Head of the Social and Urban Computing Group and of the Cisco Innovation Center in Kazan. He received his masters degree in Computer Engineering from the University of Catania, and his Ph.D. in Computer Science and Engineering from the University of Messina, in 2001 and 2006. Dr. Salvatore has authored or co-authored more than 200 scientific papers and contributions to international journals, conferences and books. He has 16 years of experience in teaching, research, consultancy and curriculum development.





Dr. Sandeep Singh Rawat is a Professor at the Computer Science & Engineering Department, Anurag Group of Institutions, Hyderabad. He received his bachelors degree in Computer Science & Engineering from the National Institute of Technology, Surat (formerly REC, Surat), his masters from the Indian Institute of Technology, Roorkee, and his Ph.D. from the University College of Engineering, Osmania University, Hyderabad. Dr. Sandeep was a Research Scholar and Visiting Professor at Iowa State University, USA, from 2016 to 2018. His areas of expertise include knowledge extraction, information systems & machine learning, databases, information retrieval, data warehousing, cloud computing and group decision support systems. He has published numerous papers in national and international journals and conference proceedings.