A comprehensive review of various approach for medical image segmentation and disease prediction
Image segmentation is a crucial aspect of machine vision in which usable information is
collected from an input image. This relevant information might range from detecting …
collected from an input image. This relevant information might range from detecting …
FuzzyNet-Based Modelling Smart Traffic System in Smart Cities Using Deep Learning Models
The current lockouts, climatic variations, population expansion, and constraints on
convenience and natural resource access are some of the factors that are making the need …
convenience and natural resource access are some of the factors that are making the need …
A survey on cluster head selection and cluster formation methods in wireless sensor networks
In recent years, wireless sensor networks (WSNs) have been growing rapidly because of
their ability to sense data, communicate wirelessly, and compute data efficiently. These …
their ability to sense data, communicate wirelessly, and compute data efficiently. These …
[Retracted] Enhance‐Net: An Approach to Boost the Performance of Deep Learning Model Based on Real‐Time Medical Images
Real‐time medical image classification is a complex problem in the world. Using IoT
technology in medical applications assures that the healthcare sectors improve the quality of …
technology in medical applications assures that the healthcare sectors improve the quality of …
Fuzzy approach-based stable energy-efficient AODV routing protocol in mobile ad hoc networks
A mobile ad hoc network is a collection of autonomous mobile nodes having communication
capability with one another within a radio range. This is a network with intrinsic attributes like …
capability with one another within a radio range. This is a network with intrinsic attributes like …
CHHP: coverage optimization and hole healing protocol using sleep and wake-up concept for wireless sensor network
The sensor network facilitates easy monitoring in hazardous environments like forests war
fields, etc. The wireless sensor network comprises several sensor nodes (SN) to observe …
fields, etc. The wireless sensor network comprises several sensor nodes (SN) to observe …
CHOP: Maximum coverage optimization and resolve hole healing problem using sleep and wake-up technique for WSN
The sensor network domains such as industry, defense, research Wireless Sensor Network
(WSN) is widely used nowadays. The sensor networks are randomly deployed in the …
(WSN) is widely used nowadays. The sensor networks are randomly deployed in the …
Energy Efficient Protocol for Lifetime Prediction of Wireless Sensor Network using Multivariate Polynomial Regression Model
The sensor network performs gathering, monitoring, and tracking of objects in the given
area. The sensor nodes are normally distributed randomly in the network area for collecting …
area. The sensor nodes are normally distributed randomly in the network area for collecting …
IOT based sensor monitoring system for smart complex and shopping malls
Abstract Wireless Sensor Network (WSN) plays a significant role in smart offices/workplaces
and academic research nowadays. Due to the vast range of technologies research is being …
and academic research nowadays. Due to the vast range of technologies research is being …
An ensemble learning approach for chronic kidney disease classification
Chronic kidney disease (CKD) is a potentially fatal condition that is difficult to identify early
due to the absence of symptoms. The suggested study's goal is to create and verify a …
due to the absence of symptoms. The suggested study's goal is to create and verify a …