Shaziya Islam

ORCID: 0000-0003-0368-2097
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About
Contact & Profiles
Research Areas
  • Big Data and Business Intelligence
  • AI and HR Technologies
  • Advanced Text Analysis Techniques
  • Multimedia Learning Systems
  • Internet of Things and AI
  • Data Mining and Machine Learning Applications
  • Advanced Neural Network Applications
  • Advanced Research in Systems and Signal Processing
  • Text and Document Classification Technologies
  • Opportunistic and Delay-Tolerant Networks
  • Cybercrime and Law Enforcement Studies
  • Blockchain Technology Applications and Security
  • Mobile Ad Hoc Networks
  • Digital Transformation in Industry
  • Smart Systems and Machine Learning
  • Data Mining Algorithms and Applications
  • Vehicular Ad Hoc Networks (VANETs)
  • IoT and Edge/Fog Computing
  • Big Data and Digital Economy
  • Imbalanced Data Classification Techniques
  • Network Security and Intrusion Detection
  • COVID-19 diagnosis using AI
  • Brain Tumor Detection and Classification

Indian Institute of Technology Bhilai
2022-2023

Abstract As digital financial transactions and fraudulent activities grow in complexity, ensuring system security becomes increasingly challenging. This paper introduces LayerWeighted-GCN (LWG), a novel Graph Neural Network (GNN) model for fraud detection, along with synthetic dataset named SIFT (Synthetic Insights Fraudulent Transactions). The proposed approach integrates adaptive layer weighting, enabling the to dynamically adjust contribution of different GNN layers better capture...

10.1007/s44230-025-00097-3 article EN cc-by Human-Centric Intelligent Systems 2025-04-10

Artificial intelligence (AI) technologies have been recently developed, and their advantages can be observed in a wide range of domains, from image processing to face detection. AI-based approaches assist opponents enhance attack strategies while also improving cyber protection technologies. The efficiency AI techniques against security issues are evaluated. Here, the primary data quantitative study design approach is used. information then obtained software industry professionals. sample...

10.1109/icears56392.2023.10085368 article EN 2023-03-02

The need for early detection and treatment makes brain tumour possibly the most critical illness which radiologists neuro subject-matter professionals must be skilled. In recent years, computational intelligence (CI) machine learning (ML) methods have evolved into effective smart instruments of tumors. Computer-aided diagnosis (CAD) primarily rely on various CI approaches in all phases image analysis to build a consulting platform that can support identification tumors by offering second...

10.1109/icears56392.2023.10085176 article EN 2023-03-02

10.1109/icccnt61001.2024.10725991 article EN 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) 2024-06-24

Dengue fever is a mosquito-borne tropical disease caused by the dengue virus. It life threatening lots of person died due to because its symptoms are not detected at early stages many parson thought that it was normal or headache so they just ignore which cause there in danger situations and worst case loss their life.

10.53730/ijhs.v6ns8.13221 article EN International Journal of Health Sciences 2022-10-04
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