Distributed Computing and Intelligent Technology

<p>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.</p>