A5089721307- Advanced Steganography and Watermarking Techniques
- Anomaly Detection Techniques and Applications
- Time Series Analysis and Forecasting
- Data Mining Algorithms and Applications
- Chaos-based Image/Signal Encryption
- Network Security and Intrusion Detection
- Artificial Intelligence in Healthcare
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Air Quality Monitoring and Forecasting
- COVID-19 diagnosis using AI
- Data Quality and Management
- Big Data and Business Intelligence
- Vehicle License Plate Recognition
- Stock Market Forecasting Methods
- Radiomics and Machine Learning in Medical Imaging
- Autonomous Vehicle Technology and Safety
- Evacuation and Crowd Dynamics
- Big Data Technologies and Applications
- Algorithms and Data Compression
- Forecasting Techniques and Applications
- Rough Sets and Fuzzy Logic
- Web Data Mining and Analysis
- Video Surveillance and Tracking Methods
- Internet Traffic Analysis and Secure E-voting
Debre Tabor University
2022-2023
Mattu University
2020-2021
Ethiopian Civil Service University
2020-2021
In recent years, IoT (Internet of Things) devices and their attendant solutions have become more prevalent, particularly in manufacturing, supply chain management, healthcare, transportation, numerous other "smart" settings. Thanks to IP Protocol) addresses designated devices, cyber-physical systems are now able communicate with one another automatically. Inadequate protection on these ultimate platforms has resulted attacks such as denial-of-service, Botnets, identity theft, information...
Accurate identification of the newest 2019 coronavirus (COVID-19) disease is required for effective illness behavior and management. To categorize analyses COVID-19 in prevalent region, detection using medical images, computed tomography (CT) imaging informative, reliable, quick. Chest CT images are readily available nearly all hospitals, making it possible to use them classify patients early on. When infection spreads quickly, a significant amount time chest CT-based categorization. Since...
Time-series forecasting is an approach that uses historical and current data to project future values over time or at a given point in time, while prediction are often synonymous, there one interesting detail. In some professions, may refer specific whereas refers general. Most widely used determine the nature of stock prices. A series analyses modeling by finance committee guide investors, professors legal sciences, processes. And why he proposes this argument not include sliding window;...
In detecting the relationship between data elements and multiple levels of abstractions, multi-level association rule mining plays a key role. To address this problem in literature, we have some search schemes such as FP-growth Apriori. These face utmost computational cost when applied big sets for searching rules. A novel genetic-based scheme with modernizations enhances It minimizes over script. As first keynote, to detail, application domain knowledge category trees are used. special tree...