Bio-inspired information and communi...
BICT (Conference) (2024 :)

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  • Bio-inspired information and communications technologies = 15th EAI international conference, BICT 2024, Quzhou, China, August 15-16, 2024 : proceedings /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Bio-inspired information and communications technologies/ edited by Yifan Chen, Kun Yang, Yue Sun.
    Reminder of title: 15th EAI international conference, BICT 2024, Quzhou, China, August 15-16, 2024 : proceedings /
    remainder title: BICT 2024
    other author: Chen, Yifan.
    corporate name: BICT (Conference)
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: x, 174 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: Asia-Pacific Workshop on Molecular Communications. -- Industrial Perspectives for Molecular Communication in Future Networks. -- Optimizing Drug Delivery Strategies by Pathway Analysis for Waveform Modulation-based Molecular Communication. -- Enhancing DNA-based IoBNT Throughput and Reducing Congestion with Yin-Yang Coding. -- A Molecular Communication Model Driven by Magnetic Field Force. -- CDM Based on Izhikevich Neuron Model. -- Multi-user Diffusive Molecular Communication Systems with A Passive Relay node: Receiver Design and Performance Analysis. -- Machine Learning-Based Detection Time Estimation for Molecular Communication. -- Taming Signal-dependent Counting Noise with Machine Learning for Molecular Communication. -- Energy-Efficient Transmitter Creation in Molecular Communication. -- A Method for Determining Relay Node location in Molecular Communication. -- Glycemic Oscillation Decomposition-based Personalized Blood Glucose Prediction with Continuous Glucose Monitoring. -- Bio-inspired ICT. -- Bio-inspired Microstrip Antenna (Bi-MPA) for Medical Microwave Imaging Applications. -- Image Encryption and Decryption Algorithm based on DNA Sequence: Performance Analysis of Channel Fusion Processing. -- ICT-inspired Biomedicine. -- Optimizing the Classification of SSVEP Signals in Brain-computer Interfaces: A Novel Sliding Window Data Segmentation Method Based on Weighted Voting Mechanism. -- Spontaneous Motion of Nanorobots Inspired Computational Technology for Tumor Boundary Exploration. -- Light-Driven Aggregation of Nanorobot Swarms for Precision Tumor Targeting in Manhattan-Geometry Vasculature.
    Contained By: Springer Nature eBook
    Subject: Natural computation - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-81599-7
    ISBN: 9783031815997
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