Biography
Name: Ahmed Subhi Aabdalkafor
PhD
Specialization: Artificial Intelligence
Publication
- Emotion recognition in EEG Signals: Deep and machine learning approaches, challenges, and future directions
- Optimized KNN Algorithm for Diabetic Retinopathy Classification with PCA-Based Data Fusion and Cuckoo Search Optimization.
- CSRP Protocol for High Accuracy Performance in Wireless Sensor Networks
- Taxonomy and Accurate Survey of Fake Face Recognition System in E-learning Platforms
- Enhance Cancer Text Classification Using Multi Word Embedding and Ensemble Learning
- E-Learning Technology Impact On the Development and Sustainability of Training Skills of Anbar University Graduates
- Artificial Intelligence Techniques for Adaptive Controlled Air Conditions
- K-nearest neighbor algorithm for efficient heart disease classification system
- Data aggregation techniques in wireless sensors networks (WSNs): Taxonomy and an accurate literature survey
- Efficient data aggregation strategy in wireless sensor networks: challenges and significant applications
- Applying of (SOM, HAC, and RBF) algorithms for data aggregation in wireless sensors networks
- The impact of data aggregation strategy on a performance of wireless sensor networks (WSNs)
Lectures
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No.
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Subjects
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Lectures
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Stage
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File
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Video
|
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1 |
Mobile Application Programming
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Mobile Application Programming (INTRODUCTION I)
|
Third
|
|
|
|
2 |
Mobile Application Programming
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Mobile Application Programming (INTRODUCTION II)
|
Third
|
|
|
|
3 |
IOT
|
IOT ((INTRODUCTION I)
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Third
|
|
|
|
4 |
IOT
|
IOT ((INTRODUCTION II)
|
Third
|
|
|
Academic certificates
1. PhD - College of Computer Science and Information Technology - University of Anbar - Iraq - 2022.
2. M.sc. - College of Information Technology - Middle East University - Amman - Jordan - 2016.
3. B.Sc. - College of Computer Science and Information Technology - University of Anbar - Iraq - 2010.
Supervision
- Fake Face Recognition System in E-learning Platforms
- Emotion Classification based on EEG Signals via Deep Learning Approach
- Integrating Deep Clustering and recommendation systems for large data analytics
Other
Participation in many international conferences