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Hakob Grigoryan
Observed name:
Hakob GRIGORYAN
Observed institutions:
Sensing & Control Systems (Spain),
Bucharest University of Economic Studies
ORCID:
0000-0002-7354-2842
Observed ORCID:
0000-0002-7354-2842
OpenAlex ID:
A5000208622
A Stock Market Prediction Method Based on Support Vector Machines (SVM) and Independent Component Analysis (ICA)
2016
·
Hakob Grigoryan
·
RePEc: Research Papers in Economics
·
33
An Artificial Neural Network for Data Forecasting Purposes
2015
·
Catalina Lucia COCIANU
, Hakob GRIGORYAN
·
Informatica Economica
·
20
PDF
Stock Market Trend Prediction Using Support Vector Machines and Variable Selection Methods
2017
·
Hakob Grigoryan
·
International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA)
·
17
PDF
Stock Market Prediction using Artificial Neural Networks. Case Study of TAL1T, Nasdaq OMX Baltic Stock
2015
·
Hakob Grigoryan
·
RePEc: Research Papers in Economics
·
12
Cost-Effective Integration of Blockchain Technologies Into P2P Energy Trading Systems
2024
·
Hakob Grigoryan
·
IEEE International Conference on Omni-layer Intelligent Systems (COINS)
·
11
Electricity Consumption Prediction using Energy Data, Socio-economic and Weather Indicators. A Case Study of Spain
2021
·
Hakob Grigoryan
·
International Conference on Control, Mechatronics and Automation (ICCMA)
·
8
FMEA 2.0: Machine Learning Applications in Smart Microgrid Risk Assessment
2024
·
Akash Kadechkar
, Hakob Grigoryan
·
5
Machine Learning Techniques for Stock Market Prediction.acase Study of Omv Petrom
2016
·
Cătălina Cocianu
, Hakob Grigoryan
·
RePEc: Research Papers in Economics
·
2
Short-Term Water Demand Forecasting: A Comparative Study of Deep Learning and Conventional Machine Learning Algorithms
2025
·
Hakob Grigoryan
·
Communications in computer and information science
·
1
A Novel Deep Learning-Based Multi-Layer Framework for Imputing IoT Data with Large Missing Gaps
2025
·
Hakob Grigoryan
, Dimitrios Gunopulos
·
Frontiers of artificial intelligence, ethics and multidisciplinary applications.
User-Specific Energy Management for Urban Lightweight Electric Fleet Vehicles with Hybrid Energy Storage Systems
2023
·
Akash Kadechkar
, Mirko d'Adamo
, et al.
PDF
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Works count:
11
Citation count:
109
H-index:
6
I10-index:
5
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