A Big Data Analytical Approach for Prediction of Cancer Using Modified K-Nearest Neighbour Algorithm

Muthumayil, K.; Karuppathal, R.; Jayasankar, T.; Devi, B. Aruna; Prakash, N. B.; Sudhakar, S.

doi:10.1166/jmihi.2021.3737

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…The author discussed some of the issues that may arise when providing QoS to mobile nodes in MANETs, as well as solutions for dealing with them, such as dynamic topologies that change perpetually and capriciously. It gave a comprehensive overview of QoS routing metrics, resources, and performance-affecting factors, as well as their interactions with the MAC protocol [11][12][13][14][15]. CH.…”

Section: Related Workmentioning

confidence: 99%

Design of Fuzzy Logic Control Framework for QoS Routing in MANET

Vargheese¹,

Vanithamani²,

David³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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Wireless networks with no infrastructure arise as a result of multiple wireless devices working together. The Mobile Ad hoc Network (MANET) is a system for connecting independently located Mobile Nodes (MNs) via wireless links. A MANET is self-configuring in telecommunications, while MN produces non-infrastructure networks that are entirely decentralized. Both the MAC and routing layers of MANETs take into account issues related to Quality of Service (QoS). When culling a line of optical discernment communication, MANET can be an effective and cost-saving route cull option. To maintain QoS, however, more or fewer challenges must be overcome. This paper proposes a Fuzzy Logic Control (FLC) methodology for specifying a probabilistic QoS guaranteed for MANETs. The framework uses network node mobility to establish the probabilistic quality of service. Fuzzy Logic (FL) implementations were added to Network Simulator-3 (NS-3) and used with the proposed FLC framework for simulation. Researchers have found that for a given node's mobility, the path's bandwidth decreases with time, hop count, and radius. It is resolutely based on this fuzzy rule that the priority index for a packet is determined. Also, by avoiding sending packets (PKT) out of source networks when there are no beneficial routes, bandwidth is not wasted. The FLC outperforms the scheduling methods with a wide range of results. To improve QoS within MANETs, it is therefore recommended that FLC is used to synchronize packets. Thus, using these performance metrics, the QoSresponsible routing can opt for more stable paths. Based on network simulation, it is evident that incorporating QoS into routing protocols is meant to improve traffic performance, in particular authentic-time traffic.

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Section: Related Workmentioning

confidence: 99%

Design of Fuzzy Logic Control Framework for QoS Routing in MANET

Vargheese¹,

Vanithamani²,

David³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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“…Our method improved the classification accuracy of classification models in identifying LT, hemangioma, and average LT from B mode ultrasound images in a survey of 166 normal liver tissues, 30 hemangiomas, and 60 Malignant Tumors (MT). It has been proved that fuzzy improvement can be used as an efficient data pre-processing method in the LT CAD system [32][33][34][35][36].…”

Section: Related Workmentioning

confidence: 99%

Liver Tumors Segmentation Using 3D SegNet Deep Learning Approach

Nallasivan¹,

Ramachandran²,

Alroobaea³

et al. 2023

Computer Systems Science and Engineering

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An ultrasonic filter detects signs of malignant tumors by analysing the image's pixel quality fluctuations caused by a liver ailment. Signs of malignant growth proximity are identified in an ultrasound filter through image pixel quality variations from a liver's condition. Those changes are more common in alcoholic liver conditions than in other etiologies of cirrhosis, suggesting that the cause may be alcohol instead of liver disease. Existing Two-Dimensional (2D) ultrasound data sets contain an accuracy rate of 85.9% and a 2D Computed Tomography (CT) data set of 91.02%. The most recent work on designing a Three-Dimensional (3D) ultrasound imaging system in or close to real-time is examined. In this article, a Deep Learning (DL) model is implemented and modified to fit liver CT segmentation, and a semantic pixel classification of road scenes is recommended. The architecture is called semantic pixel-wise segmentation and comprises a hierarchical link of encoder-decoder layers. A standard data set was used to test the proposed model for liver CT scans and the tumor accuracy in the training phase. For the normal class, we obtained 100% precision for chronic cirrhosis hepatitis (73%), offset cirrhosis (59.26%), and offensive cirrhosis (91.67%) for chronic hepatitis or cirrhosis (73,0%). The aim is to develop a Computer-Aided Detection (CAD) screening tool to detect steatosis. The results proved 98.33% exactness, 94.59% sensitivity, and 92.11% case with Convolutional Neural Networks (CNN) classification. Although the classifier's performance did not differentiate so clearly at this level, it was recommended that CNN generally perform better due to the good relationship between Area under the Receiver Operating Characteristics Curve (AUC) and accuracy.

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“…This research proposes Priority Based Dynamic Routing (PBDR), which is a new routing method to address this. The PBDR also uses the Locate the Link Residual Life (LRL) to build the route [10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Improved Multi-Path Routing for QoS on MANET

Vargheese¹,

Bhatia²,

Basheer³

et al. 2023

Computer Systems Science and Engineering

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A Mobile Ad hoc NETwork (MANET) is a self-configuring network that is not reliant on infrastructure. This paper introduces a new multipath routing method based on the Multi-Hop Routing (MHR) technique. MHR is the consecutive selection of suitable relay nodes to send information across nodes that are not within direct range of each other. Failing to ensure good MHR leads to several negative consequences, ultimately causing unsuccessful data transmission in a MANET. This research work consists of three portions. The first to attempt to propose an efficient MHR protocol is the design of Priority Based Dynamic Routing (PBDR) to adapt to the dynamic MANET environment by reducing Node Link Failures (NLF) in the network. This is achieved by dynamically considering a node's mobility parameters like relative velocity and link duration, which enable the next-hop selection. This method works more efficiently than the traditional protocols. Then the second stage is the Improved Multi-Path Dynamic Routing (IMPDR). The enhancement is mainly focused on further improving the Quality of Service (QoS) in MANETs by introducing a QoS timer at every node to help in the QoS routing of MANETs. Since QoS is the most vital metric that assesses a protocol, its dynamic estimation has improved network performance considerably. This method uses distance, linkability, trust, and QoS as the four parameters for the next-hop selection. IMPDR is compared against traditional routing protocols. The Network Simulator-2 (NS2) is used to conduct a simulation analysis of the protocols under consideration. The proposed tests are assessed for the Packet Delivery Ratio (PDR), Packet Loss Rate (PLR), End-to-End Delay (EED), and Network Throughput (NT).

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A Big Data Analytical Approach for Prediction of Cancer Using Modified K-Nearest Neighbour Algorithm

Cited by 8 publications

References 12 publications

Design of Fuzzy Logic Control Framework for QoS Routing in MANET

Design of Fuzzy Logic Control Framework for QoS Routing in MANET

Liver Tumors Segmentation Using 3D SegNet Deep Learning Approach

Improved Multi-Path Routing for QoS on MANET

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