Search Results - "Rajeshkannan S"

CSMEC-based deep learning model for detection and classification of brain tumours in MR images by Beaulah Princiba, D., Ezhilarasi, P., Rajeshkannan, S.

“…Brain tumours are anomalous growths or clusters of cells in or encircling the brain. These tumours are perhaps detected and classified using magnetic resonance…”
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Association of Visual Impairment with Suicidal Ideation and Suicide Attempts: A Systematic Review and Meta-Analysis by Rajeshkannan S., Yenuganti, Vishnu Vardhan, Solomon, Maria Annita Tellcott, Rajsri T. R., Janana Priya G.

“…Background: Worldwide, there is an increase in the incidence of suicide each year. Suicide attempts are estimated to be more frequent than actual suicide…”
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A novel design of all logic gates in honeycomb photonic crystal and independent of polarization modes (TE/TM) for optical integrated circuit applications by Shanmuga Vadivu, N., Trabelsi, Youssef, Roopa Jayasingh, J., S, Rajeshkannan, Sani, Mojtaba Hosseinzadeh

“…•Optical integrated circuits is proposed by honeycomb structure.•Two independent modes are observed by TE and TM mode characteristics.•Using FDTD method, all…”
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Dietary Diversity and Nutritional Status: An Association Among the Elderly by GL, Kokilaa, Devanbu, Vinoth Chellaiyan, S, Rajeshkannan, A, Aarthy, S, Jerry Alfred, Das, Himadri

“…Background: Old age and nutrition have become a Global challenge. Inadequate dietary intake arises mostly as a result of physiological changes which contribute…”
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Comparison of Mamdani and Sugeno fuzzy based data aggregation models for developing smart aquaculture system by Shahana, G., Ezhilarasi, P., RajeshKannan, S.

“…In this paper a data aggregation model using Machine Learning (ML) techniques like sugeno and mamdani fuzzy model has been developed and compared based on…”
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Cipher Care : Multi-Authentication Video Steganography Powered by CNNs by Venkatraman, Lepakshi, Niksheetha, S., Ezhilarasi, P., Rajeshkannan, S.

“…In the age of digital communication and safeguarding data, the imperative to discreetly hide confidential information in plain view has grown significantly…”
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Design and Development of Embedded Controller with Wireless Sensor for Power Monitoring through Smart Interface Design Models by Ramesh, S M, Rajeshkannan, S, Pundir, Sumit, Dhaliwal, Navdeep, Mishra, Sanjay, Saravana, B Shanthi

“…The advanced innovation in the power electronics system paved a numerous ways in the development and monitoring of power consumption. This helps to maintain…”
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Load bearing investigations on silane coupling grafted PET core and pineapple leaf fibre-vinyl ester sandwich composite building material by Shunmugapriya, K., Kandavalli, Sumanth Ratna, Rajeshkannan, S., Lenin, V. R.

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Design and Modelling of Surface Plasmon Resonance Biosensor Employing BaTiO3 and Graphene Nanostructure for Detection of SARS-CoV-2 Virus by Alaaudeen, K. M., Manoharadas, Salim, Dhasarathan, Vigneswaran, Rajeshkannan, S.

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Performance Evaluation of PET Foam and Areca Fruit Fibre Reinforced Modified Cellulose-Vinyl Ester Composite on Thermal and Water Ageing Conditions by Rajeshkannan, S., Sivakumar, Annamalai, Mariappan, M., Gunasekaran, J.

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Analysis of Sea Urchin Spike Chitin and Basalt Bamboo Fiber-Epoxy Composite for Environmental Sustainability by Kumar, P. Senthil, Prabagaran, S., Kandavalli, Sumanth Ratna, Rajeshkannan, S.

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Effect of corn cob carbon quantum dots and areca husk microfiber on EMI shielding effectiveness of flexible PVA thin film at 8–20GHz frequency bands by Saravanan, A., Thirumurugan, P., Rajeshkannan, S., Sridhar, S.

“…This study aims to examine the impact of areca microfiber and corn cob carbon quantum dots (CQD) magnetic filler particles on the EMI shielding capabilities of…”
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A preliminary study on the reactive suspension approach to create bioactive polymer nanocomposites for dental applications by Arun, K. K., Rajeshkannan, S., Ezhilarasi, P., Natrayan, L.

“…The modified chemical particle with appropriate combination agents possesses a lesser surface and the organic matrix gives more compatibility with the…”
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Faster Region Based Convolutional Neural Network for Skin Lesion Segmentation by Murugesan, G., Jeyapriya, J., Hemalatha, M., Rajeshkannan, S.

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Improved CRC Based Disparity Estimation of Vision System Using Local Adaptive Hue Census and Mean Shift Clustering by Rajeshkannan, S., Korah, Reeba

“…One of the key issues of stereo matching is the identification of corresponding pixels between stereo pairs. Several real time systems developed based on…”
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Occupational stress among IT professionals in Chennai, Tamilnadu by Jasmine Maruthupandian, Buvnesh Kumar M, Suganthi S, Rajeshkannan S, Divya Ilanchoorian, Gowthamkarthic R, Manoj P

“…Background: Stress in the workplace can have impact on physical and mental health. It can also be result in absenteeism, reduced productivity and monetary…”
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Workability Behaviour of Fe-C-Mo Steel Preforms During Cold Forging by Narayan, S, Rajeshkannan, A, Pandey, KS, Shanmugam, S

“…A systematic method to construct the workability diagram for powder metallurgy （P/M） materials has been proposed. Preforms of Fe-0.8 %C, Fe-0.8% C-1% Mo and…”
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Workability Studies in Forming of Sintered Fe-0.35C Powder Metallurgy Preform During Cold Upsetting by S Narayan A Rajeshkannan

“…An experimental investigation on the workability behaviour of sintered Fe-0.35C steel preforms under cold upsetting,have been studied in order to understand…”
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Sintered Fe-0. 8%C-1.0%Si-0. 4%Cu P/M Steel Preform Behaviour During Cold Upsetting by A Rajeshkannan K S Pandey S Shanmugam R Narayanasamy

“…Cold upsetting experiments were carried out on sintered Fe 0.8%C1.0%Si-0. 4%Cu steel preforms in order to evaluate their deformation characteristics. Powder…”
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Influence of Carbon Content on Strain Hardening Behaviour of Sintered Plain Carbon Steel Preforms by Narayan, S, Rajeshkannan, A

“…Complete experimental investigation on the instantaneous strain hardening behaviour of powder metallurgy （P/M） preforms of pure iron, Fe 0.35%C, Fe-0.75%C and…”
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