Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Waleed Al-Nuaimy
Also published under:W. Al-Nuaimy
Affiliation
Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK
Topic
Support Vector Machine,Computer Vision,Convolutional Neural Network,Artificial Neural Network,Convolutional Layers,Deep Learning,Deep Neural Network,Feature Learning,Field Of View,Neural Network,Assistive Technology,Biologists,Computer Keyboard,Computer Vision System,Convolutional Network,Deep Convolutional Neural Network,Deep Network,Fish Images,Image Segmentation,Linear Classifier,Medical Imaging,Optic Nerve,Raw Images,Sleep Deprivation,Stochastic Gradient Descent,Support Vector Machine Classifier,Visual System,Wearable Devices,Xeon E5,3D System,3D Tracking,Accessible Interface,Accuracy Of Image Segmentation,Actual Length,Angular Acceleration,Angular Speed,Angular Velocity,Area Under Curve,Artificial Neural Network Algorithm,Artificial Neural Network Classifier,Assessment Strategies,Attention In Industry,Automatic Calibration,Automatic Learning,Automatic System,Basal Cell Carcinoma,Basal Ganglia,Base Classifiers,Biometric,Black Background,
Biography
Waleed Al-Nuaimy received the B.Sc. degree in electronic and telecommunications engineering from Nahrain University, Baghdad, Iraq, in 1995, and the Ph.D. degree from the University of Liverpool, Liverpool, U.K., in 1999.
Since 1999, he has been with the Signal Processing Research Group, Department of Electrical Engineering and Electronics, University of Liverpool. His current research interests include automated analysis of data, autonomous systems, human–computer interaction, automated analysis of nondestructive testing, and biomedical data and machine learning for behavioral analysis.
Since 1999, he has been with the Signal Processing Research Group, Department of Electrical Engineering and Electronics, University of Liverpool. His current research interests include automated analysis of data, autonomous systems, human–computer interaction, automated analysis of nondestructive testing, and biomedical data and machine learning for behavioral analysis.