J. M. Shafi Ferdous

ORCID: 0000-0002-7423-7890
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About
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Research Areas
  • Advanced Text Analysis Techniques
  • Skin Protection and Aging
  • AI in cancer detection
  • Text and Document Classification Technologies
  • Video Surveillance and Tracking Methods
  • Photodynamic Therapy Research Studies
  • Digital Imaging for Blood Diseases
  • Recommender Systems and Techniques
  • Cutaneous Melanoma Detection and Management
  • Fuzzy Logic and Control Systems
  • Autonomous Vehicle Technology and Safety
  • Data Stream Mining Techniques
  • Nanoplatforms for cancer theranostics
  • Currency Recognition and Detection

North South University
2016-2024

This paper includes the design and implementation of an intelligent automated traffic control system which takes advantages computer vision image processing techniques. Along with conventional techniques, this introduces two new methods has low cost. One been constructed help hardware other one is designed without support. a complete management able to reduce jams congestion on simulated environment. It detects number vehicles each road depending load road, assigns optimized amount waiting...

10.1109/ccwc.2017.7868350 article EN 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) 2017-01-01

Subcutaneous (SC) administration of chemotherapeutics combined with near-infrared (NIR) light activation can effectively target skin tumors by triggering localized drug release and enhancing cytotoxic effects. In this study, we developed NIR-responsive indocyanine green (ICG) the chemotherapeutic agent doxorubicin (Dox) loaded into gelatin nanoparticles (NPs) for SC delivery in a tumor-bearing mouse model. Histological examination (hematoxylin eosin staining) confirmed successful swelling...

10.1021/acsabm.4c01129 article EN ACS Applied Bio Materials 2024-08-22

The research proposes an approach for searching and sorting food list according to user preference. system maintains a fuzzy database store restaurants their menus with some specific parameters each item. System allows the specify tastes that are of interest, location name where they prefer eat, approximated budget person few other defined as keyword. While searching, will fetch entries from parameters, convert item's metadata pass controller. Then controller assigns score output Finally is...

10.1109/icis.2016.7550755 article EN 2016-06-01

The research introduces an adaptive food searching and recommending engine by taste user preference using fuzzy logic. In contrast with existing system where is searched predefined keywords, this searches its users' which allows the to provide better results. As cannot be measured user's relative each user, authors have used concepts of artificial intelligence (AI) logic understand deal abstractness these parameters. Along considered restaurant's environment, location, review budget as...

10.4018/ijfsa.2017040106 article EN International Journal of Fuzzy System Applications 2017-03-06

10.1109/tencon61640.2024.10902760 article EN TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) 2024-12-01
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