Titlebook: Computer Networks and Inventive Communication Technologies; Proceedings of Fifth S. Smys,Pavel Lafata,Khaled A. Kamel Conference proceeding

失眠癥

A Study on Reinforcement Learning-Based Traffic Engineering in Software-Defined Networks, networks (SDNs) have emerged. It is a centralized network, and it is flexible to route network flows. Traffic engineering (TE) technologies are used with deep reinforcement learning (RL) in SDN to make networks more agile. Different strategies for network balance, improvement, and minimizing maximu

摻和

Enhancing the Performance of Heterogeneous Networks Using Optimized Cluster-Based Algorithm,rks have been embraced in various network scenarios. The cells experience unloaded due to the random UEs mobility and cells deployment, which degrades the network performance such as handover success, throughput, and load distribution. We propose an enhanced cluster-based algorithm for small cell mo

窒息

Memorial

coltish

和諧

跳動

A Novel Channel Estimation Technique for Intelligent Reflecting Surface (IRS)-Aided MmWave Systems opagation environment. However, for improved system performance in the presence of IRS, knowledge of proper channel state information (CSI) is essential. In this paper, we present a novel and efficient channel estimation technique based on sparse Kalman filter (SKF) in intelligent reflecting surface

Itinerant

舊病復(fù)發(fā)

A Survey of Deep Learning Region Proposal and Background Recognition Techniques for Moving Object Dms the video. Moving object detection forms the primary step in surveillance applications and traffic monitoring systems. With the advent of deep learning remarkable performance is observed in object detection. But the following challenges of detecting small and low-resolution moving objects in the

真實的人

Evaluation of Machine Learning Approaches for Prediction of Dengue Fever,ame, and sometimes, people are confused about which disease they are infected with. This year in Bangladesh dengue and covid-19 patients have been increasing at an alarming rate, and most of the time people didn’t properly recognize the disease. A developing country like Bangladesh has faced many di