An ad-hoc network (MANET) is set of different types of mobile node. MANET is mobile so
they utilize wireless connection to attach with network. MANET can be deployed at low cost …

Deep learning for automated lesion detection in mammography has gained widespread
attention due to its potential to reduce the time needed for radiologists to detect lesions …

The usage of deep trends for scientific photograph segmentation has seen a speedy
increase in recognition in recent years of today's capability to generate accurate photo …

Abstract Mobile Ad hoc Network (MANET) is a self-configurable, self-maintenance network
with wireless, mobile nodes. Special features of MANET like dynamic topology, hop-by-hop …

The segmentation accuracy of brain tumors has been improved through the application of
deep learning. According to current research, deep learning may produce high-quality …

Mobile ad hoc network (MANET) is a network that has fast characteristics, efficient
deployment, and can apply in an emergency location such as natural disasters, military …

Routing protocol is the primary strategy to design any wireless network. In Mobile AdHoc
Network many routing protocols are present for sending packets from source to destination …

Abstract Nowadays Mobile Ad Hoc Network (MANET) is an emerging area of research to
provide various communication services to end users. Mobile Ad Hoc Networks (MANETs) …

Providing QoS in the context of Ad Hoc networks includes a very wide field of application
from the perspective of every level of the architecture in the network. In order for simulation …

This text offers an empirical look at using meta-gaining knowledge for medical photo
segmentation with transfer-gaining knowledge. It makes a specialty of the performance of …