An Efficient Multilevel Thresholding Scheme for Heart Image Segmentation Using a Hybrid Generalized Adversarial Network

Reddy, A. Mallikarjuna; Kola, Srinivas; Jayaram, Miryabbelli; Lakshmi, N. Venkata Maha; Aluvalu, Rajanikanth; Mahesh, T R; Kumar, V. Vinoth; Alex, Doney

doi:10.1155/2022/4093658

Cited by 25 publications

(10 citation statements)

References 32 publications

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“…A classifier's sensitivity is the ratio of how many were accurately recognized as positive to how many were truly positive [13]. Sensitivity is also called recall.…”

Section: Resultsmentioning

confidence: 99%

Hybrid Ant Lion Mutated Ant Colony Optimizer Technique With Particle Swarm Optimization for Leukemia Prediction Using Microarray Gene Data

Mahesh,

Santhakumar,

Balajee

et al. 2024

IEEE Access

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Leukemia refers to a type of blood malignancy that develops due to certain hematological disorders. Identifying leukemia at its earlier stages through clinical operations are highly complicated task with invasive methods. Gene expression data could be collected and computational methods could be adopted which could lead to better prediction of leukemia that leads to prevention at its earlier stages. Today, feature selection has become an important step in pre-processing that helps bring improvement to the classification system and its performance that is done by choosing optimal feature subsets by means of reducing or eliminating redundant or irrelevant features. Particle Swarm Optimization (PSO) is a popular algorithm wherein certain solutions that are generated randomly move within the search space to obtain optimal solutions. Another relatively new and evolutionary method computation is the Ant Lion Optimization (ALO) algorithm that has lower computation cost compared to the other techniques. In this work, a new technique known as the Hybrid Ant Lion Mutated Ant Colony Optimize along with Particle Swarm Optimization (PSO) was proposed for the prediction of leukaemia with the microarray gene data. The proposed model that is used for identifying the optimal set of features from which the classification has been done using the Support Vector Machine (SVM) has produced a significant prediction accuracy of 87.88%.

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“…A classifier's sensitivity is the ratio of how many were accurately recognized as positive to how many were truly positive [13]. Sensitivity is also called recall.…”

Section: Resultsmentioning

confidence: 99%

Hybrid Ant Lion Mutated Ant Colony Optimizer Technique With Particle Swarm Optimization for Leukemia Prediction Using Microarray Gene Data

Mahesh,

Santhakumar,

Balajee

et al. 2024

IEEE Access

Self Cite

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“…The Fuzzy rules and Fuzzy sets are aptly used for fuzzy input to produce the output variables [22]. The Inference engine uses the process of fuzzi cation (converting original inputs to fuzzy sets).…”

Section: The Fuzzy Inputsmentioning

confidence: 99%

Machine Learning approach to fix Routing Problems in IoT Networks

Naulegari,

Reddy

et al. 2024

Preprint

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The Internet of things, an outstanding scientific technology in the current computational society, is usually made of intelligent electronic gadgets and sensing devices. IoT focuses on the interaction and communication of objects to extract human necessities. Wireless sensor networks have become the pivotal architecture for building the efficient and rigid functionality of the IoT. Usually, a wireless sensor network performs its activities based on the nodes established in the network. The node explicitly exhibits various attributes like sensing the signals, computing complex computations, and other wireless computing strategies over the web. The sensor node in the network transmits data and information using numerous available transmission techniques. It optimizes the routines from available routes over the network path. Optimizing the working span of WSN (Wireless Sensor Networks) is essential. This paper elucidates the optimization techniques to improve network sensors' performance and lifespan ratios in a reliable and stable network. Hence, the proposed mechanisms soundly speak about reinforcement learning and fuzzy logic systems from ML (Machine Learning). Both these variants work based on the types of available wireless nodes, the energies from the nodes, the existing bandwidth, and non-reliable distances between the nodes (sink). The paper also compares the proposed techniques using IEEE protocols and the fuzzy logic approach. The outset of the presentation reveals the optimized-enhanced lifespan and power consumption of WSNs through OPNET (Optimum Network Performance).

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“…In contrast to the standard order execute design used by other blockchain systems such as HLF's preview version [25], Fabric provides an execute-order-validate architecture [24]. The plan is to split off the process of placing an order and having a smart contract (SC) carry it out.…”

Section: Hyperledger Fabricmentioning

confidence: 99%

Blockchain-Enabled Hyperledger Fabric to Secure Data Transfer Mechanism for Medical Cyber-Physical System: Overview, Issues, and Challenges

Vinayasree,

Mallikarjuna Reddy

2023

EAI Endorsed Trans Perv Health Tech

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This paper proposes a model to address the challenges faced by medical cyber-physical systems (MCPS) by implementing a permissioned blockchain platform. The platform incorporates the unique properties of blockchain into the network of affected systems, including decentralization, transparency, and immutability. The platform also includes a novel technique to secure MCPS through an automated access-control manager. This manager allows users to control who has access to their data, and can be configured to trust a third party if desired. The paper also extends into networked medical device systems, and discusses how the platform can be used to address critical is-sues specific to this field, such as network design. Finally, the paper discusses how various security features can be integrated into ultra-small devices, enhancing the protection of embedded systems. The overall objective of this research is to develop a secure and efficient data transfer mechanism for MCPS. The proposed platform addresses the challenges faced by MCPS by incorporating the unique properties of blockchain.

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An Efficient Multilevel Thresholding Scheme for Heart Image Segmentation Using a Hybrid Generalized Adversarial Network

Cited by 25 publications

References 32 publications

Hybrid Ant Lion Mutated Ant Colony Optimizer Technique With Particle Swarm Optimization for Leukemia Prediction Using Microarray Gene Data

Hybrid Ant Lion Mutated Ant Colony Optimizer Technique With Particle Swarm Optimization for Leukemia Prediction Using Microarray Gene Data

Machine Learning approach to fix Routing Problems in IoT Networks

Blockchain-Enabled Hyperledger Fabric to Secure Data Transfer Mechanism for Medical Cyber-Physical System: Overview, Issues, and Challenges

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