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
Misha Urooj Khan
Affiliation
Department of Electrical and Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantt, Rawalpindi, Pakistan
Topic
Object Detection,Convolutional Neural Network,Unmanned Aerial Vehicles,Bounding Box,Detection Accuracy,F1 Score,Feature Maps,Support Vector Machine,You Only Look Once,AdamW Optimizer,Average Accuracy,Binary Classification,Challenging Conditions,Complex Background,Custom Dataset,Data Augmentation,Deep Learning,Detection System,High Recall,Inference Time,Infrared Imaging,Mean Average Precision,Model Performance,Multi-label,Multilayer Perceptron,Output Feature Map,Test Accuracy,1D Convolutional Neural Network,AI Models,Accelerometer,Adam Optimizer,Anchor Boxes,Archeology,Artificial Neural Network,Atrial Septal Defect,Average Precision,Batch Size,Bearing Fault,Bearing Fault Diagnosis,Bias Term,COCO Dataset,CSV File,Channel Size,Classical Computer,Clear Sky,Cloudy Conditions,Complex Situations,Complex Soil Environment,Compound Annual Growth Rate,Computational Capabilities,
Biography
Misha Urooj Khan received the master’s degree in electronics engineering with a specialization in electronic system design from the University of Engineering and Technology Taxila, Taxila, Pakistan. She is the Chairperson of the Community of Research and Development. Her academic pursuits have resulted in 30 publications to date. Her research interests include bio-medical engineering, machine learning, deep learning, audio processing, computer vision, predictive analytics, and quantum machine learning.