Titlebook: Bio-inspired Information and Communication Technologies; 11th EAI Internation Adriana Compagnoni,William Casey,Bud Mishra Conference procee

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Cheating the Beta Cells to Delay the Beginning of Type-2 Diabetes Through Artificial Segregation of y diabetes pharmacology for large periods. Although the view of this work is theoretical and prospective, it is based entirely in closed-form physics equations that sustain the main claim of this paper: electric interactions driven by charged nano particles would be a window to stop the progress of

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Physics-Based Nanomedicine to Alleviate Anomalous Events in the Human Kidney,sed phenomenology to develop closed-form expressions that would describe the different scenarios by which the glomerulus is invaded by giant proteins like the albumin. Under this scenario, albumin proteins that are pushed out by the glucose dipoles in blood are expected to exert repulsion as well as

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Bio-inspired System Identification Attacks in Noisy Networked Control Systems,plemented along with a bio-inspired metaheuristic that was previously used in other BiSI attacks: the Backtracking Search Optimization Algorithm (BSA). The results indicate that, with the proposed approach, the accuracy of the estimated models improves. With the proposed noise processing technique,

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Blinded by Biology: Bio-inspired Tech-Ontologies in Cognitive Brain Sciences,y limitations .. I aim to track the basic bio-inspiration and show how it spreads bottom-up throughout (1) to (4), in order to identify where bioinspiration started going wrong, as well as to point out where to intervene for improving technological implementations based on those bio-inspired assumpt

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Medical Diagnostics Based on Encrypted Medical Data,y of other publicly available methods. By successfully computing over encrypted data we have shown that our FHE scheme permits the use of machine learning algorithms that utilize polynomial kernel functions.

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Evolutionary Multi-objective Optimization for Evolving Soft Robots in Different Environments,and a locomotion stage, and we optimize these robotic structures by combining an artificial neural network (ANN) and age-fitness pareto optimization (AFP). These body structures of the robot are determined depending on three genetic rules and some voxels for evolving the ANN. In terms of our experim