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Adaptive scheduled partitioning technique for reliable emergency message broadcasting in VANET for intelligent transportation systems
Adaptive scheduled partitioning technique for reliable emergency message broadcasting in VANET for intelligent transportation systems
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Adaptive scheduled partitioning technique for reliable emergency message broadcasting in VANET for intelligent transportation systems

Ramya Devi, M. ; Jasmine Selvakumari Jeya, I. ; Lokesh, S.

Automatika, 2023-04, Vol.64 (2), p.341-354 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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12
Computer-aided breast cancer diagnosis based on image segmentation and interval analysis
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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13
Online adaptive optimal tracking control for model-free nonlinear systems via a dynamic neural network
Online adaptive optimal tracking control for model-free nonlinear systems via a dynamic neural network
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Online adaptive optimal tracking control for model-free nonlinear systems via a dynamic neural network

Yin, Yuming ; Fu, Zhiiun ; Lu, Yan

Automatika, 2023-07, Vol.64 (3), p.431-440 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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14
Controlling the Speed of renewable-sourced DC drives with a series compensated DC to DC converter and sliding mode controller
Controlling the Speed of renewable-sourced DC drives with a series compensated DC to DC converter and sliding mode controller
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Controlling the Speed of renewable-sourced DC drives with a series compensated DC to DC converter and sliding mode controller

Gurumoorthy, K. ; Balaraman, Sujatha

Automatika, 2023-01, Vol.64 (1), p.114-126 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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15
Stabilization analysis of a class of nonlinear time delay systems with time-varying full-state constraints
Stabilization analysis of a class of nonlinear time delay systems with time-varying full-state constraints
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Stabilization analysis of a class of nonlinear time delay systems with time-varying full-state constraints

He, Youguo ; Zhou, Yu ; Wang, Dapeng ; Liu, Shaogang ; Wei, Xiuping

Automatika, 2023-07, Vol.64 (3), p.496-507 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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16
A novel approach to predict competency and the hidden risk factor by using various machine learning classifiers
A novel approach to predict competency and the hidden risk factor by using various machine learning classifiers
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A novel approach to predict competency and the hidden risk factor by using various machine learning classifiers

Stalin, M ; Kalyani, S

Automatika, 2023-07, Vol.64 (3), p.550-564 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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17
Predicting the academic progression in student's standpoint using machine learning
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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18
New direct power synergetic-SMC technique based PWM for DFIG integrated to a variable speed dual-rotor wind power
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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19
A supervisory control system of a biodiesel production plant
A supervisory control system of a biodiesel production plant
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A supervisory control system of a biodiesel production plant

Stankov, Stanko

Hemijska industrija, 2018, Vol.72 (6), p.315-328 [Periódico revisado por pares]

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20
A novel salp swarm assisted hybrid maximum power point tracking algorithm for the solar photovoltaic power generation systems
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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