Browsing by Author "Chen, Yifan"
Now showing items 1-5 of 8
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Biosensing by Learning: Cancer Detection as Iterative optimization.
(IEEE, 2018)We propose a novel cancer detection procedure (CDP) based on an iterative optimization method. The global minimum of a tumor-induced biological cost function indicates the tumor location, the domain of the cost function ... -
Biosensing-by-Learning Direct Targeting Strategy for Enhanced Tumor Sensitization
(IEEE, 2019)We propose a novel iterative-optimization-inspired direct targeting strategy (DTS) for smart nanosystems, which harness swarms of externally manipulable nanoswimmers assembled by magnetic nanoparticles (MNPs) for knowledge-aided ... -
Capacitor-Loaded Spoof Surface Plasmon for Flexible Dispersion Control and High-Selectivity Filtering
(IEEE, 2017)This letter proposes a new spoof surface plasmon transmission line (SSP-TL) using capacitor loading technique. This new SSP-TL features flexible and reconfigurable dispersion control and highly selective filtering performance ... -
Continuous Beam Steering Through Broadside Using Asymmetrically Modulated Goubau Line Leaky-Wave Antennas
(2017-12-01)Goubau line is a single-conductor transmission line, featuring easy integration and low-loss transmission properties. Here, we propose a periodic leaky-wave antenna (LWA) based on planar Goubau transmission line on a thin ... -
Nanoswimmer-oriented Direct Targeting Strategy Inspired by Momentum-based Gradient Optimization
(IEEE, 2019)This paper considers the advantage of knowledgeaided direct targeting strategy (DTS) over systemic targeting for tumor homing in complex human vasculature. Tumor location in the body can be estimated by closely observing ...
Co-authors for Yifan Chen
Supervised by Yifan Chen
Showing up to 5 theses - most recently added to Research Commons first.
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In Vivo computation - Where computing meets nanosystem for smart tumor biosensing
(The University of Waikato, 2023)According to World Health Organization, 13.1 million people will die in the world just because of cancer by 2030. Early tumor detection is very crucial to saving the world from this alarming mortality rate. However, it is ...
