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Ali Almadani
PeerJ Author
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Ali Mansour Almadani

PeerJ Author

Summary

Academic Background

B.Sc. in Computer Science from Sana'a University, Yemen (2015/2016)
M.Sc. in Information Technology from Dr. Babasaheb Ambedkar Marathwada University, India (2018)
Currently pursuing research at Dr. Babasaheb Ambedkar Marathwada University, Department of CS and IT

Research Focus
Primary research interests include:

Internet of Things (IoT)
Blockchain Technology
Computer Vision
Deep Learning

Core Expertise
Your expertise clusters into several key areas:
Artificial Intelligence & Machine Learning

Neural Networks and Deep Learning
Supervised and Unsupervised Learning
Pattern Recognition and Classification
Feature Extraction

Computer Vision & Image Processing

Image Analysis and Segmentation
Face Recognition
Motion Tracking
Video Processing

Signal Processing & Recognition

Speech Recognition
Gesture Recognition
Biometric Systems

Network & Security

Computer Networks
IoT Systems
Security Technologies
Data Mining

Algorithms & Analysis of Algorithms Data Science Internet of Things Neural Networks Security & Privacy

Past or current institution affiliations

Hunan University (湖南大学化学化工学院)

Work details

PhD Candidate

Hunan University (湖南大学化学化工学院)
College of Computer Science and Electronic Engineering
I received the B.Sc degree from the Department of Computer Science, Faculty of Computer Science & IT, Sana'a University, Yemen in 2015/2016. I received the Ms.c(IT) degree from Dr.Babasaheb Ambedkar Marathwada University, Aurangabad, India in 2018. My area of interest is Internet of Things(IoT), Blockchain Technology, Computer Vision, and Deep Learning.

Websites

  • Google Scholar
  • Facebook
  • ResearcherId
  • GitHub
  • ResearchGate

PeerJ Contributions

  • Articles 1
March 17, 2025
Optimal intrusion detection for imbalanced data using Bagging method with deep neural network optimized by flower pollination algorithm
Hussein Ridha Sayegh, Wang Dong, Bahaa Hussein Taher, Muhanad Mohammed Kadum, Ali Mansour Al-madani
https://doi.org/10.7717/peerj-cs.2745