A5062771676- Brain Tumor Detection and Classification
- AI in cancer detection
- COVID-19 diagnosis using AI
- Advanced Image Fusion Techniques
- Advanced Control Systems Design
- Medical Image Segmentation Techniques
- Control Systems and Identification
- Belt Conveyor Systems Engineering
- E-commerce and Technology Innovations
- Usability and User Interface Design
- Interactive and Immersive Displays
- solar cell performance optimization
- Collaboration in agile enterprises
- Nuclear Engineering Thermal-Hydraulics
- Cavitation Phenomena in Pumps
- Machine Learning and ELM
- Advanced Image Processing Techniques
- Fractional Differential Equations Solutions
- Energy Efficient Wireless Sensor Networks
- SARS-CoV-2 and COVID-19 Research
- Neural Networks and Applications
- Sentiment Analysis and Opinion Mining
- Domain Adaptation and Few-Shot Learning
- vaccines and immunoinformatics approaches
- Solar Thermal and Photovoltaic Systems
Al-Nisour University College
2022-2024
University of Technology - Iraq
2010
Laboratoire d'Informatique de Paris-Nord
2010
This study aims to compare how well different designs of combined photovoltaic-thermal collectors work in terms electricity and heat production. One big benefit collectors, compared regular solar panels, is that they cool down the module make it produce more efficiently. In simple terms, using this method produces a device, which means one needs less space install collector module. recent study, scientists looked at panel also used generate performed. They tested water keep cool. To...
Pressure fluctuations are a critical phenomenon that can endanger the safety and stability of hydraulic structures, especially stilling basins. Hence, accurate estimation dimensionless coefficient pressure () is for engineers. This study proposed predictive soft computing models to estimate on sloping channels. Therefore, three robust methods, including extreme learning machine (ELM), group method data handling (GMDH), M5 model tree (M5MT), were used . The results revealed ELM was more than...
There have been many attempts to create training algorithms that can successfully train neural networks in a reasonable amount of time while also achieving acceptable generalisation performance since the inception itself. The feed-forward using outmoded gradient grounded learning procedures, such as BP (Back Propagation), often gets trapped local minima and requires great deal converge. All network weights biases must be tweaked iteratively for these perform properly. Recently, new method...
In an unstable market, supply chain management (SCM) must use novel approaches to meet consumers' expectations better. Supply chains become more adaptable cope with the disturbance that calls for increased resilience. This fresh perspective posed difficulty of creating and overseeing a network cultivates interdependent links via purposeful collaboration. research proposes Customer Support Prediction Model (CSPM) improve efficiency competitiveness chain. The effect these actions on...
A proper node as cluster head (CH) in analysis for Mobile Wireless Sensor Networks (MWSN) primarily benefits network longevity. It's tricky to pick the right CH defence while considering potential consequences. After making a choice between CHs, MWSN seldom takes selector approach into account. In this study, researchers provide trust-based security protocol (EE-TSP) that minimizes wasted energy. order create safe CH-selecting method uses little energy possible, it calculated weight of each...