Yaser Issam Aljanabi

ORCID: 0000-0003-0135-1665
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About
Contact & Profiles
Research Areas
  • Cybercrime and Law Enforcement Studies
  • Blockchain Technology Applications and Security
  • Cell Image Analysis Techniques
  • Network Security and Intrusion Detection
  • Brain Tumor Detection and Classification
  • AI in cancer detection

Middle Technical University
2023

Ministry of Higher Education and Scientific Research
2022

The key target of Distributed Denial-of-Service (DDoS) attacks is to interrupt and suspend any available online services either executed for professional or personal gains. These originate from the fast advancement in number insecure technologies. are caused due easy access internet advent technology resulting exponential growth traffic volumes. DDoS attack remains most leading security risks provisioning services. Also, current embraced mechanism defense lacks flexibility adequate resources...

10.31449/inf.v46i7.4033 article EN Informatica 2022-10-24

Deep learning algorithms rely on digital pathology to classify tissue tumors, where the whole slides are digitized and imaged. The produced multi-resolution slide images (MWSIs) with high resolution that may range from about 100,000 200,000 pixels. MWSIs often stored in a configuration simplify processing of images, navigation, efficient exposition. This work develops network for classifying require memory employing deep neural Inception-v3 architecture. employs Camelyon16, which is around...

10.15587/1729-4061.2023.281227 article EN Eastern-European Journal of Enterprise Technologies 2023-06-30
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