A. Ong

ORCID: 0009-0001-7004-459X
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About
Contact & Profiles
Research Areas
  • Cryptographic Implementations and Security
  • COVID-19 diagnosis using AI
  • Water resources management and optimization
  • Chaos-based Image/Signal Encryption
  • Advanced Malware Detection Techniques
  • Advanced Technologies in Various Fields
  • Network Security and Intrusion Detection
  • Economic, financial, and policy analysis
  • Brain Tumor Detection and Classification
  • User Authentication and Security Systems
  • Immune Cell Function and Interaction
  • Reservoir Engineering and Simulation Methods
  • T-cell and B-cell Immunology
  • Cryptography and Residue Arithmetic
  • Artificial Immune Systems Applications

Mapúa University
2023

Total (Belgium)
2023

King's College London
2004

The retail sector often does not possess sufficient knowledge about potential or actual frauds. This requires the to employ an anomaly detection approach fraud detection. To detect anomalies in transactions, system introduced this work implements various salient features of human immune system. novel artificial system, called CIFD (computer for detection), adopts both negative selection and positive generate cells. also employs analogy self-major histocompatability complex (MHC) molecules...

10.1109/cec.2003.1299604 article EN 2004-07-09

There is a growing interest of IP Camera usage in the healthcare industries. Cameras are now being used including patient monitoring, healthcare, telemedicine, etc. This paper aims to determine applications industry how it these serve as tool for future researchers understand they can use cameras their endeavors. A total 31 related literatures and studies published from 2019 2022 were gathered, all which specific studies. code each study was created according application use. Results show...

10.15379/ijmst.v10i1.2687 article EN International Journal of Membrane Science and Technology 2023-10-13

Summary This paper is presenting a comparison of two methods to quantify uncertainties on production profiles for unconventional reservoirs: the traditional method with type curves fitting and statistical analysis geostatistical time series decomposition interpolation. Both are applied true case study several hundred wells data base. The results in favor approach which provides very promising validations. some way forwards suggested.

10.3997/2214-4609.202335025 article EN 2023-01-01
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