In this paper, we propose a novel congestion control framework for delay-and disruption
tolerant networks (DTNs). The proposed framework, called Smart-DTN-CC, adjusts its …

Abstract Delay and Disruption Tolerant Networks (DTNs) are networks that experience
frequent and long-lived connectivity disruptions. Unlike traditional networks, such as TCP/IP …

MapReduce is presently established as an important distributed and parallel programming
model with wide acclaim for large scale computing. Intelligent scheduling decisions can help …

The current study proposes a unique algorithm for shortest trajectory creation based on q
learning. Major issues towards grid world problem are environment generalization. In Q …

Using machine learning methods to analyse and predict events occurring at interfaces is
more complicated than applying machine learning to participating entities, such as …

MapReduce is one of the most significant distributed and parallel processing frameworks for
large-scale data-intensive jobs proposed in recent times. Intelligent scheduling decisions …

Dynamic neural network is became one of the most important approaches to eliminate Q
table (look-up-table) of the machine intelligence. On the basis of comparison between …

Currently, the universities systematically construct professional competencies. However,
mutual integration, as well as transferable competencies, communication and management …

Abstract Delay and Disruption Tolerant Networks (DTNs) are networks that experience
frequent and long-lived connectivity disruptions. Unlike traditional networks, such as TCP/IP …