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1
Fault analysis in the 5-level multilevel NCA DC-AC converter
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Fault analysis in the 5-level multilevel NCA DC-AC converter

B, Perumal ; K, Suresh ; E, Parimalasundar

Automatika, 2023-07, Vol.64 (3), p.606-612 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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2
FPGA implementation of hardware architecture with AES encryptor using sub-pipelined S-box techniques for compact applications
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FPGA implementation of hardware architecture with AES encryptor using sub-pipelined S-box techniques for compact applications

Arul Murugan, C. ; Karthigaikumar, P. ; Sathya Priya, Sridevi

Automatika, 2020-10, Vol.61 (4), p.682-693 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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3
Computer-aided breast cancer diagnosis based on image segmentation and interval analysis
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Computer-aided breast cancer diagnosis based on image segmentation and interval analysis

Liu, Qing ; Liu, Zhigang ; Yong, Shenghui ; Jia, Kun ; Razmjooy, Navid

Automatika, 2020-07, Vol.61 (3), p.496-506 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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4
Fast charging converter and control algorithm for solar PV battery and electrical grid integrated electric vehicle charging station
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Fast charging converter and control algorithm for solar PV battery and electrical grid integrated electric vehicle charging station

Prem, P. ; Sivaraman, P. ; Sakthi Suriya Raj, J. S. ; Jagabar Sathik, M. ; Almakhles, Dhafer

Automatika, 2020-10, Vol.61 (4), p.614-625 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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5
New direct power synergetic-SMC technique based PWM for DFIG integrated to a variable speed dual-rotor wind power
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New direct power synergetic-SMC technique based PWM for DFIG integrated to a variable speed dual-rotor wind power

Benbouhenni, Habib ; Mehedi, Fayçal ; Soufiane, Lemdani

Automatika, 2022-12, Vol.63 (4), p.718-731 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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6
Predicting the academic progression in student's standpoint using machine learning
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Predicting the academic progression in student's standpoint using machine learning

Sassirekha, M. S. ; Vijayalakshmi, S.

Automatika, 2022-12, Vol.63 (4), p.605-617 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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7
A novel salp swarm assisted hybrid maximum power point tracking algorithm for the solar photovoltaic power generation systems
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A novel salp swarm assisted hybrid maximum power point tracking algorithm for the solar photovoltaic power generation systems

Premkumar, M. ; Kumar, C. ; Sowmya, R. ; Pradeep, J.

Automatika, 2021-01, Vol.62 (1), p.1-20 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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8
GAN Base feedback analysis system for industrial IOT networks
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GAN Base feedback analysis system for industrial IOT networks

Ashok, K. ; Boddu, Rajasekhar ; Syed, Salman Ali ; Sonawane, Vijay R. ; Dabhade, Ravindra G. ; Reddy, Pundru Chandra Shaker

Automatika, 2023-04, Vol.64 (2), p.259-267 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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9
Encapsulated 3Ø converter for power loss minimization in a grid-connected system
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Encapsulated 3Ø converter for power loss minimization in a grid-connected system

K, Suresh ; E, Parimalasundar ; S, Jayakumar ; R, Ravikumar

Automatika, 2023-01, Vol.64 (1), p.189-197 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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10
A fused lightweight CNN model for the diagnosis of COVID-19 using CT scan images
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A fused lightweight CNN model for the diagnosis of COVID-19 using CT scan images

Krishnaswamy Rangarajan, Aravind ; Ramachandran, Hari Krishnan

Automatika, 2022-01, Vol.63 (1), p.171-184 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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