RETRACTED ARTICLE: A Robust Decision Support System for Wireless Healthcare Based on Hybrid Prediction Algorithm

Kumar, Neelam; Nirmalkumar, P.

doi:10.1007/s10916-019-1304-7

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…In [18][19][20], the swarm intelligence maximum coverage of the node has been discussed and compared with designed p-type junctionless nanowire FET without doping injunctions. In [21][22][23][24][25][26], sensed heterogeneous data processing is carried out for different applications such as agriculture, weather information, and health monitoring for both live information and stored information. In [27][28][29][30][31][32], results have represented the feasibility that the sensor could be used to distinguish the different harnesses of the materials.…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Effects of Novel Material Field Effect Transistor for Heterogeneous Energy and Traffic‐Aware Secure Applications

Bhuvaneswari

Ruby

Manjunathan³

et al. 2021

Advances in Materials Science and Engineering

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The advent of the automated technological revolution has enabled the Internet of Things to rejuvenate, revolutionize, and redeem the services of sensors. The recent development of microsensor devices is distributed in a real-world terrestrial environment to sense various environmental changes. The energy consumption of the remotely deployed microsystems depends on its utilization efficiency. Improper utilization of sensor nodes’ heterogeneity could lead to uneven energy consumption and load imbalance across the network, which will degrade the performance of the network. The proposed heterogeneous energy and traffic aware (HETA) considers the key parameters such as delay, throughput, traffic load, energy consumption, and life span. The residual energy and a minimum distance between the base station and cluster members are taken into consideration for the cluster head selection. The probability of hitting data traffic has been utilized to analyse energy and traffic towards the base station. The role of the sensor node has been realized and priority-based data forwarding are also proposed. As a result, the heterogeneous energy and traffic aware perform well in balancing traffic towards the base station, which is analysed in terms of maximum throughput and increase in a lifetime of heterogeneous energy networks more than 5000 rounds, and the algorithm outperforms 34.5% of nodes are alive with transmissible energy. The proposed research also endorses unequal clustering and minimum energy consumption. We have modeled our proposed research using various p-type junctionless nanowire FET without doping injunctions. The materials used in this analysis were silicon (Si), germanium (Ge), indium phosphide (InP), gallium arsenide (GaAs), and Al(x)Ga(1−x)As. The dimensions of the p-type cylindrical nanowire channel were 25 nm long and 10 nm in diameter.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Effects of Novel Material Field Effect Transistor for Heterogeneous Energy and Traffic‐Aware Secure Applications

Bhuvaneswari

Ruby

Manjunathan³

et al. 2021

Advances in Materials Science and Engineering

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“…A wrapper utilizes a few heuristic rules to generate a feature subset with a performance evaluation iteratively, and the final feature subset is output if the stop criterion is met (Tekin Erguzel et al, 2015). The strategies of both filters and wrappers may be integrated to generate a hybrid feature selection algorithm (Kumar and Nirmalkumar, 2019;Wu et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Detection and Comparative Analysis of Methylomic Biomarkers of Rheumatoid Arthritis

et al. 2020

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Rheumatoid arthritis (RA) is a common autoimmune disorder influenced by both genetic and environmental factors. To investigate possible contributions of DNA methylation to the etiology of RA with minimum confounding genetic heterogeneity, we investigated genome-wide DNA methylation in disease-discordant monozygotic twin pairs. This study hypothesized that methylomic biomarkers might facilitate accurate RA detection. A comprehensive series of biomarker detection algorithms were utilized to find the best methylomic biomarkers for detecting RA patients using the methylomic data of the peripheral blood samples. The best model achieved 100.00% in accuracy (Acc) with 81 methylomic biomarkers and a 10-fold cross-validation (10FCV) strategy. Some of the methylomic biomarkers were experimentally confirmed to be associated with the onset or development of RA. It is also interesting to observe that many of the detected biomarkers were from chromosome Y, supporting the knowledge that RA has a significant gender discrepancy.

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A comprehensive review on applications of Raspberry Pi

Mathe,

Kondaveeti,

Vappangi

et al. 2024

Computer Science Review

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RETRACTED ARTICLE: A Robust Decision Support System for Wireless Healthcare Based on Hybrid Prediction Algorithm

Cited by 3 publications

References 14 publications

[Retracted] Effects of Novel Material Field Effect Transistor for Heterogeneous Energy and Traffic‐Aware Secure Applications

[Retracted] Effects of Novel Material Field Effect Transistor for Heterogeneous Energy and Traffic‐Aware Secure Applications

Detection and Comparative Analysis of Methylomic Biomarkers of Rheumatoid Arthritis

A comprehensive review on applications of Raspberry Pi

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