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Kousis, Anestis
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1

A Tri-Model Prediction Approach for COVID-19 ICU Bed Occupa..:

Stasinos, Nikolaos ; Kousis, Anestis ; Sarlis, Vangelis...
Algorithms.  16 (2023)  3 - p. 140 , 2023
Link: https://doi.org/10.3390/..
 
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2

Investigating the Key Aspects of a Smart City through Topic..:

Kousis, Anestis ; Tjortjis, Christos
Future Internet.  16 (2023)  1 - p. 3 , 2023
Link: https://doi.org/10.3390/..
 
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3

Smart Healthcare Support Using Data Mining and Machine Lear..:

, In: IoT and WSN based Smart Cities: A Machine Learning Perspective; EAI/Springer Innovations in Communication and Computing,
Chatzinikolaou, Theodora ; Vogiatzi, Eleni ; Kousis, Anestis. - p. 27-48 , 2022
Link: https://doi.org/10.1007/..
 
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4

Data Mining Algorithms for Smart Cities: A Bibliometric Ana..:

Kousis, Anestis ; Tjortjis, Christos
Algorithms.  14 (2021)  8 - p. 242 , 2021
Link: https://doi.org/10.3390/..
 
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5

The impact of educational robotics on teachers' computation..:

KOUSIS, ANESTIS
http://xantho.lis.upatras.gr/pasithee/index.php/ejupUNESCOchair/article/view/3085/3399.  , 2019
Link: http://xantho.lis.upatra..
 
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6

Investigating the Key Aspects of a Smart City through Topic..:

Anestis Kousis ; Christos Tjortjis
https://www.mdpi.com/1999-5903/16/1/3.  , 2023
Link: https://doi.org/10.3390/..
 
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7

A Tri-Model Prediction Approach for COVID-19 ICU Bed Occupa..:

Nikolaos Stasinos ; Anestis Kousis ; Vangelis Sarlis...
https://www.mdpi.com/1999-4893/16/3/140.  , 2023
Link: https://doi.org/10.3390/..
 
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8

A Tri-Model Prediction Approach for COVID-19 ICU Bed Occupa..:

Nikolaos Stasinos ; Anestis Kousis ; Vangelis Sarlis...
Evolutionary Algorithms and Machine Learning.  , 2023
Link: https://doi.org/10.3390/..
 
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9

Data Mining Algorithms for Smart Cities: A Bibliometric Ana..:

Anestis Kousis ; Christos Tjortjis
https://www.mdpi.com/1999-4893/14/8/242.  , 2021
Link: https://doi.org/10.3390/..
 
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10

Data Mining Algorithms for Smart Cities: A Bibliometric Ana..:

Anestis Kousis ; Christos Tjortjis
https://dx.doi.org/10.3390/a14080242.  , 2021
Link: https://doi.org/10.3390/..
 
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