A5066454195- Advanced Data Processing Techniques
- Cloud Data Security Solutions
- Neural Networks and Applications
- Advanced Research in Systems and Signal Processing
- Advanced Computational Techniques in Science and Engineering
- Advanced Computational Techniques and Applications
- Computer Graphics and Visualization Techniques
- Big Data and Business Intelligence
- Advanced Scientific Research Methods
- Information Systems and Technology Applications
- Economic and Technological Systems Analysis
- Simulation Techniques and Applications
- Multi-Criteria Decision Making
- Cognitive Science and Mapping
- Machine Learning and Algorithms
- Data Mining Algorithms and Applications
- Cognitive Computing and Networks
- 3D Modeling in Geospatial Applications
- Image Processing and 3D Reconstruction
- Mathematical Control Systems and Analysis
- 3D Shape Modeling and Analysis
- Food Industry and Aquatic Biology
- Digital Image Processing Techniques
- AI-based Problem Solving and Planning
- Environmental Sustainability and Technology
Belarusian State University
2014-2024
Irbid National University
2014
9th City Clinical Hospital
1979
Pansharpening refers to the fusion between a multispectral (MS) image with abundant spectral information and panchromatic (PAN) high spatial resolution obtain (HRMS) image. The traditional pansharpening methods often ignore effect of path-radiation caused by scattering from different atmospheric components, few that introduce haze correction only calibrate each band MS individually, without exploring intrinsic correlation among bands. To address this problem, low rank tensor completion based...
A pattern recognition scenario, where instead of object classification into the classes by learning set, algorithm aims to allocate all objects same, so-called "normal" class, is research objective. Given set L; class K0 called “normal”, and reminder l K1, K2, ... , Kl from environment K are “deviated”. The for a recurrent use in "classification, action" format. Actions Ai defined each “deviated” Ki. Applied an x ∈ Ki, action delivers update Ai(x) object. goal constructing that applied...
This paper describes method for E-commerce website evaluation. Fuzzy AHP and neural network were applied to solve the problem. The proposed system consists of four components: (1) hierarchical structure development fuzzy analytic hierarchy process (FAHP), (2) weights determination, (3) data collection, (4) decision making.
The paper investigates a relevant applied problem associated with building decision support systems for critical information services. An original approach is proposed, based on neural network forecasting, within which method of dynamic local approximation using models has been developed. principles constructing and implementing the operational algorithm (under conditions uncertainty external load profile) combined proactive system managing computational resources are outlined. Experiments...
The paper describes the use of organization and graph theory for constructing model that management distributed nature artificial beings. Itâs proposed a virtual organization, focused on implementation monitoring, regardless size remoteness objects observation from center. algorithm its construction, based representation in form attributed tree, is described. resulting can be considered as basis solving number applications including decision-making, knowledge acquisition, visualization...
Liu, H.; Chen, D.; Zhang, S.; C. and Krasnoproshin, V., 2018. Secure access control method of ship electronic information system. In: Z.L. Mi, (eds.), Advances in Sustainable Port Ocean Engineering. Journal Coastal Research, Special Issue No. 83, pp. 863–867. Coconut Creek (Florida), ISSN 0749-0208.The current secure cannot take into account the relationship between all users resource permission, authentication results fail with change user behavior, resulting wrong authorization. To address...