Ashraf Ullah

ORCID: 0009-0005-5469-7100
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About
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Research Areas
  • Spam and Phishing Detection
  • Advanced Graph Neural Networks
  • Internet Traffic Analysis and Secure E-voting
  • Hate Speech and Cyberbullying Detection
  • Network Security and Intrusion Detection
  • Pediatric Hepatobiliary Diseases and Treatments
  • Authorship Attribution and Profiling
  • Pancreatic and Hepatic Oncology Research
  • Gallbladder and Bile Duct Disorders

University of Science and Technology Bannu
2024

Bangabandhu Sheikh Mujib Medical University
2017

The Urdu language is spoken and written on different social media platforms like Twitter, WhatsApp, Facebook, YouTube. However, due to the lack of Language Processing (ULP) libraries, it quite challenging identify threats from textual sequential data provided in Urdu. Therefore, required preprocess as efficiently English by creating stemming cleaning libraries for data. Different lexical machine learning-based techniques are introduced literature, but all these limited unavailability online...

10.1371/journal.pone.0290915 article EN cc-by PLoS ONE 2024-06-06
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