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Petrosanu Dana-Mihaela
Petrosanu Dana-Mihaela
Adresă de e-mail confirmată pe mathem.pub.ro
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Citat de
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The impact of 3D printing technology on the society and economy
A Pîrjan, DM Petroșanu
J. Inf. Syst. Oper. Manag 7 (2), 360-370, 2013
2002013
Effect of YouTube marketing communication on converting brand liking into preference among millennials regarding brands in general and sustainable offers in particular …
R Duffett, DM Petroșanu, IC Negricea, T Edu
Sustainability 11 (3), 604, 2019
1042019
Devising hourly forecasting solutions regarding electricity consumption in the case of commercial center type consumers
A Pîrjan, SV Oprea, G Căruțașu, DM Petroșanu, A Bâra, C Coculescu
Energies 10 (11), 1727, 2017
312017
A review of the recent developments in integrating machine learning models with sensor devices in the smart buildings sector with a view to attaining enhanced sensing, energy …
DM Petroșanu, G Căruțașu, NL Căruțașu, A Pîrjan
Energies 12 (24), 4745, 2019
302019
RESEARCH ISSUES REGARDING THE BITCOIN AND ALTERNATIVE COINS DIGITAL CURRENCIES.
A Pirjan, DM PETROȘANU, M Huth, M NEGOIȚĂ
Journal of Information Systems & Operations Management 9 (1), 2015
272015
Developing a mixed neural network approach to forecast the residential electricity consumption based on sensor recorded data
SV Oprea, A Pîrjan, G Căruțașu, DM Petroșanu, A Bâra, JL Stănică, ...
Sensors 18 (5), 1443, 2018
232018
Electricity consumption forecasting based on a bidirectional long-short-term memory artificial neural network
DM Petroșanu, A Pîrjan
Sustainability 13 (1), 104, 2020
152020
Designing, developing and validating a forecasting method for the month ahead hourly electricity consumption in the case of medium industrial consumers
DM Petroșanu
Processes 7 (5), 310, 2019
112019
E-Commerce Sales Revenues Forecasting by Means of Dynamically Designing, Developing and Validating a Directed Acyclic Graph (DAG) Network for Deep Learning
DM Petroșanu, A Pîrjan, G Căruțașu, A Tăbușcă, DL Zirra, A Perju-Mitran
Electronics 11 (18), 2940, 2022
92022
Designing, developing, and implementing a forecasting method for the produced and consumed electricity in the case of small wind farms situated on quite complex hilly terrain
A Pîrjan, G Căruțașu, DM Petroșanu
Energies 11 (10), 2623, 2018
92018
Optimizing the computation of eigenvalues using graphics processing units
I Lungu, A Pirjan, DM PETROȘANU
UPB Sci. Bull., Series A 74 (3), 21-36, 2012
82012
Solutions for optimizing the data parallel prefix sum algorithm using the Compute Unified Device Architecture
I Lungu, A Pîrjan, DM Petroșanu
Journal of Information Systems & Operations Management 5 (2.1), 465-477, 2011
72011
Dematerialized monies-new means of payment
A Pîrjan, DM Petrosanu
Romanian Economic and Business Review 3 (2), 37, 2008
72008
A comparison of the most popular electronic micropayment systems
A Pîrjan, DM Petroșanu
Romanian Economic and Business Review 3 (4), 97-110, 2008
62008
Implementation solutions for deep learning neural networks targeting various application fields
DM Petrosanu, A Pîrjan
Journal of Information Systems & Operations Management, 155, 2017
52017
ECONOMIC CONSIDERATIONS REGARDING THE OPPORTUNITY OF OPTIMIZING DATA PROCESSING USING GRAPHICS PROCESSING UNITS.
DM Petroșanu, A Pîrjan
Journal of Information Systems & Operations Management 6 (1), 2012
52012
SOLUTIONS FOR DEVELOPING AND EXTENDING RICH GRAPHICAL USER INTERFACES FOR OFFICE APPLICATIONS.
DM PETROȘANU, A PÎRJAN
Journal of Information Systems & Operations Management 9 (1), 2015
42015
Optimization Solutions for Improving the Performance of the Parallel Reduction Algorithm Using Graphics Processing Units.
I Lungu, DM Petrosanu, A Pirjan
Informatica Economica 16 (3), 2012
42012
Tracing the Influence of Large Language Models across the Most Impactful Scientific Works
DM Petroșanu, A Pîrjan, A Tăbușcă
Electronics 12 (24), 4957, 2023
22023
Solutions for developing and extending rich graphical user interfaces for Office applications
P Alexandru, P Dana-Mihaela
JISOM 9 (1), 157-167, 2015
22015
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