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11 results on '"CĂPĂȚÂNĂ, Gheorghe"'

1. Intelligent Support System 'Biostatistical Modeling of Data in the Field of Plant Physiology'

Author

Ganea, Ion, Căpățână, Gheorghe, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Balas, Valentina Emilia, editor, Dzemyda, Gintautas, editor, and Belciug, Smaranda, editor

Published
2024
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2. Advances in Developing a Decision Support System for Cyber Risk Management

Author

Buzdugan, Aurelian, Capatana, Gheorghe, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Balas, Valentina Emilia, editor, Dzemyda, Gintautas, editor, and Belciug, Smaranda, editor

Published
2024
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6. Architecture Considerations for a Decision Support System in Cyber Risk Management

Author

Buzdugan, Aurelian, Capatana, Gheorghe, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Balas, Valentina Emilia, editor, Jain, Lakhmi C., editor, Balas, Marius Mircea, editor, and Baleanu, Dumitru, editor

Published
2023
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10. DEEP LEARNING APPROACH TO FORECASTING ELECTRICITY PRICE FROM LOAD DATA

Author

BABUSHKIN, Vladimir and CĂPĂȚÂNĂ, Gheorghe

Subjects
Deep Learning, Machine Learning, Long-Short Term Memory Networks, Convolutional Neural Networks
Abstract

The accurate forecasting of electricity price and load is essential for maintaining a stable interplay between demand and supply in the dynamic electricity market. In this work we propose a deep Convolutional Neural Network-based model for day-ahead electricity price forecasting from historical price/load data and predicted load values. The model was tested on the data for New York and New South Wales and demonstrated high prediction accuracy for both datasets.

Published
2021
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11. EVALUATION OF DISTANCES BETWEEN PSYCHIATRIC AND BEHAVIOURAL DISORDERS IN EPILEPSY.

Author

CĂPĂȚÂNĂ, Gheorghe, POPOV, Alexandru, and BUTNARU, Mariana

Subjects
*MENTAL illness, *EPILEPSY, *SYMPTOMS, *MEDICAL coding, *ARTIFICIAL intelligence
Abstract

For the definition of diseases and symptoms, medical classifications use linguistic descriptions. The present work is a follow-up of the investigations concerning the presentation of the research area "Psychiatric and Behavioural Disorders in Epilepsy" by numerical values. A metric space was developed and allowed for the evaluation of the distances between psychiatric and behavioural disorders in epilepsy. [ABSTRACT FROM AUTHOR]

Published
2021

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