Invited Papers
Modern AI/ML Methods for Healthcare: Opportunities and Challenge
An Introduction to Graph Neural Networks from a Distributed Computing Perspective
Towards Temporally Uncertain Explainable AI Planning
The Impact of Synchronization in Parallel Stochastic Gradient Descent
Distributed Computing
A Distributed Algorithm for Constructing an Independent Dominating Set
An Approach to Cost Minimization with EC2 Spot Instances using VM based Migration Policy
Transforming medical resource utilization process to verifiable timed automata models in Cyber-Physical Systems
An SDN Implemented Adaptive Load balancing Scheme for Mobile Networks
Rewriting Logic & Petri Nets: a natural model for distributed, self-adaptive systems
MCDPS: An Improved Global Scheduling Algorithm for Multiprocessor Mixed-criticality Systems
Replication Based Fault Tolerance Approach For Cloud
Intelligent Technology
A comparative study on MFCC and Fundamental Frequency based speech emotion classification
Efficient Traffic Routing in Smart Cities to Minimize Evacuation Time during Disasters
Early Detection of Parkinson's Disease as a Pre-diagnosis Tool Using various classification techniques on Vocal features
Extracting Emotion Quotient of Viral Information over Twitter
A Novel Modified Harmonic mean combined with Cohesion Score for Multi-document Summarization
Multi-channel Deep Model for Classification of Alzheimer's Disease Using Transfer Learning
Deep Learning and Linguistic based Automatic Multiple Choice Question generation from text
A Deep Multi-Kernel Uniform Capsule Approach For Hate Speech Detection.