Chii‐Wann Lin

Corrigendum to “Real-time non-contact dielectric sensing of electrolytes and droplets using a wireless LC resonator” [Sensing and Bio-Sensing Research, Volume 53, August 2026, Article 101040]

Y.F. Liou, Hua-En Shih, Yu-Wei Chiang, S.-W. Huang et autres

Compensation of micro-scale thermo–hydrodynamic coupling effects for ultra-precision surface plasmon resonance biosensing

Jian-Hong Yang, Chia-Ling Chiang, Hong-Xiang Jiang, Pien-Pien Lin et autres

tw, us (code pays fourni par la source)

Real-time non-contact dielectric sensing of electrolytes and droplets using a wireless LC resonator

Y.F. Liou, Hua-En Shih, Yu-Wei Chiang, S.-W. Huang et autres

Continuous manufacturing and digitalized biopharmaceutical production require compact process analytical technology (PAT) tools that provide real-time information without bulky instrumentation or frequent maintenance. Here, we present a wireless complex dielectric constant sensor system (c-DCSS) based on a 1 GHz LC-tank resonator and …

tw, jp (code pays fourni par la source)

Compact shearing interferometry surface plasmon resonance biosensor based on VCSEL wavelength modulation

Tzuheng Wu, Zuyi Wang, Huiyun Lo, Chiachen Chang et autres

Abstract Phase-sensitive surface plasmon resonance sensors (pSPRs) offer high detection sensitivity; however, their sophisticated optical design and susceptibility to noise hinder broader adoption. To address such concerns, we propose a new genre of phase-sensitive plasmonic sensors, named shearing interferometery SPR (SiSPR). This …

tw, fr (code pays fourni par la source)

Compensation of Micro-Scale Thermo–Hydrodynamic Coupling Effects for Ultra-Precision Surface Plasmon Resonance Biosensing

Jian-Hong Yang, Chia-Ling Chiang, Hong-Xiang Jiang, Pien-Pien Lin et autres

tw (code pays fourni par la source)

Feasibility study of 40 Hz trans-eyelid visual stimulation combined with SSVEP technology in healthy adults for neuromodulation

Chun-Hui Huang, Chih-Tsung Chang, Chii‐Wann Lin

tw (code pays fourni par la source)

Leveraging Self-Supervised Audio-Visual Pretrained Models to Improve Vocoded Speech Intelligibility in Cochlear Implant Simulation

Richard Lee Lai, Jen-Cheng Hou, I-Chun Chern, Kuo-Hsuan Hung et autres

OBJECTIVE: Individuals with hearing impairments face challenges in their ability to comprehend speech, particularly in noisy environments. This study explores the effectiveness of audio-visual speech enhancement (AVSE) in improving the intelligibility of vocoded speech in cochlear implant (CI) simulations. METHODS: We propose …

tw, gb (code pays fourni par la source)

A machine learning-driven dip-searching algorithm for angle-resolved Surface Plasmon Resonance (aSPR) biosensing

Kuan-Ju Lin, Jung‐Yien Chien, Tzu-Heng Wu, Chii‐Wann Lin

jp, tw, us (code pays fourni par la source)

Design and characterization of an LC-based resonator complementary metal-oxide-semiconductor circuitry for noncontact complex dielectric constant sensor system

Chii‐Wann Lin, Sheng-Yu Peng, Wei-Liang Hsu, S.-W. Huang

Abstract The complex dielectric constant of biomaterials is rarely measured using an integrated circuit in the microwave region. Our study proposes a novel sensor system for measuring complex dielectric constants, featuring an integrated complementary metal-oxide-semiconductor (CMOS) sensing interface and readout circuits. This …

jp, tw, in (code pays fourni par la source)

A Machine Learning-Driven Dip-Searching Algorithm for Angle-Resolved Surface Plasmon Resonance (Aspr) Biosensing

Kuan‐Jiuh Lin, Jianhong Yang, Ying‐Ju Chen, Jung‐Yien Chien et autres

Optimizing Patient-Manager Interactions in Chronic Care Using Generative Artificial Intelligence QA Dialogue Systems

Hsiang-Wei Hu, Ya-Chuan Chen, Meng-Hung Lee, Jiun-Yi Yang et autres

Chronic disease management requires continuous care to prevent exacerbations, yet providing 24/7 accessible medical advice is a significant challenge for care providers. The current model of periodic patient visits with standard dialogue responses fails to adequately address the individualized needs of patients …

tw (code pays fourni par la source)

Closed-Loop Deep Brain Stimulation with Reinforcement Learning and Neural Simulation

Chia-Hung Cho, Chii‐Wann Lin, Pin-Jui Huang, Meng-Chao Chen

Objective: Deep Brain Stimulation (DBS) is effective for movement disorders, particularly Parkinson's disease (PD). However, a closed-loop DBS system using reinforcement learning (RL) for automatic parameter tuning, offering enhanced energy efficiency and the effect of thalamus restoration, is yet to be developed …

jp, tw, us (code pays fourni par la source)