- Cryptography and Data Security
- Cloud Data Security Solutions
- Remote Sensing and LiDAR Applications
- Access Control and Trust
- Advanced Data Storage Technologies
- Privacy-Preserving Technologies in Data
- User Authentication and Security Systems
- Advanced Authentication Protocols Security
- Cryptographic Implementations and Security
- Smart Agriculture and AI
- Coastal and Marine Dynamics
- Banking Systems and Strategies
- Software Reliability and Analysis Research
- Leaf Properties and Growth Measurement
- Remote Sensing in Agriculture
- Digital Rights Management and Security
- Landslides and related hazards
- Image and Object Detection Techniques
- IPv6, Mobility, Handover, Networks, Security
- Underwater Vehicles and Communication Systems
- Security and Verification in Computing
- Time Series Analysis and Forecasting
- Geological Modeling and Analysis
- Geographic Information Systems Studies
- Network Security and Intrusion Detection
West Pomeranian University of Technology
2014-2024
University of Szczecin
2003-2006
A prerequisite for solving issues associated with surf zone variability, which affect human activity in coastal zones, is an accurate estimation of the effects protection methods. Therefore, performing frequent monitoring activities, especially when applying new nature-friendly defense methods, a major challenge. In this manuscript, we propose pipeline low-cost using RGB images, accessed by unmanned aerial vehicle (UAV) and four-level analysis architecture underwater object detection...
The improved Coastal Cliffs Morphology Analysis (CCMORPH v2.0) Toolbox offers multiple python scripts designed for streamlining the processes of generating, analyzing, and comparing morphology coastal cliffs. It is comprised a simple, user-friendly, flexible workflow that uses existing open-source code processing 3D data plotting geospatial information. upgraded toolbox exhibits significant improvements in methodologies employed to delineate cliff bottom top points. Moreover, this version...
The Coastal Cliffs Morphology Analysis (CCMORPH) Toolbox is a collection of PYTHON scripts and JavaScript tool to produce georectified information specifically tailored for the generation quantitative analysis coastal cliffs' morphology. Although experts have employed numerous methods extract indicators from digital elevation models, most do not enable software code repeat proposed processes. Here, we provide an easily accessible solution that demonstrates how automatically line models using...
Elatine is a genus in which, flower and seed characteristics are the most important diagnostic features; i.e. shape structure of its cover found to be reliable identification character. We used combination classic discriminant methods by combining with deep learning techniques analyze morphometric data within 28 populations six species from 11 countries throughout Northern Hemisphere compare obtained results then check their taxonomic classification. Our findings indicate that among methods,...
The following paper focuses on evaluating the quality of image prediction in context searching for plants a single species, using example Heracleum sosnowskyi Manden, given area. This process involves simplified classification that ends with segmentation step. Because particular characteristics environmental data, such as large areas plant occurrence, significant partitioning population, or individual, use standard statistical measures Accuracy, Jaccard Index, Dice Coefficient does not...