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E-book: Bio-inspired Information and Communications Technologies: 15th EAI International Conference, BICT 2024, Quzhou, China, August 15-16, 2024, Proceedings

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This book constitutes the refereed proceedings of the 15th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2024, held in Quzhou, China, during August 1516, 2024.





The 16 full papers included in this book were carefully reviewed and selected from 52 submissions. They were organized in topical sections as follows: Asia-Pacific Workshop on Molecular Communications; Bio-inspired ICT; and ICT-inspired Biomedicine.

.- 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.

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