The proceedings contain 57 papers. The special focus in this conference is on Intelligent Systems. The topics include: A Computational Situationally Self-controlled Brain and Mind Interface Under Uncertainty;ethical C...
ISBN:
(纸本)9783031477171
The proceedings contain 57 papers. The special focus in this conference is on Intelligent Systems. The topics include: A Computational Situationally Self-controlled Brain and Mind Interface Under Uncertainty;ethical Concerns About Personhood, Responsibility, and Privacy in Active and Passive Brain-Computer Interfaces;The VesselAI Methodology for AI-Powered Decision Support Systems for the Maritime Industry;An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA;Convergence of the Mini-Batch SIHT Algorithm;graph Autoencoder-Based Detection of Unseen False data Injection Attacks in Smart Grids;causal analysis of Artificial Intelligence Adoption in Project Management;comparative Lightweight Scheme for Individual Identification Through Hand-Vein Patterns;URL Classification with Intrusion Detection System;designing Cancellation Intervention System with Sliding Lead Times;NP4G: Network Programming for Generalization;Blockchain and AI for Optimizing Bank data Security;streamlining Conceptual modeling;E-Step control: Solution for processing and analysis of IS Users Activities in the Context of Insider Threat Identification Based on Markov Chain;Machine Learning Based Intelligent Irrigation System Using WSN;comparison of Artificial Neural Networks Algorithms on datasets with Different Characteristics;boosting Federated Multitask Learning: Transfer Effects in Cross-Domain Drug-Target Interaction Prediction;Surveying Impacts of AI in Education and Creative Practices;active Risk Mitigation for Unmanned Aerial Systems;Towards Explainable AI: Relationship Between Twitter Sentiment, User Behaviour, and Bitcoin Price Prediction;automatic Generation of a Portuguese Land Cover Map with Machine Learning;Production Portfolio Theory II—First Steps Towards a General Portfolio Theory and Numerical Examplifications;AI as a Threat to Education: Contrasting GPT-3 and Google in Answering Questions Along Bloom’s Taxonomy of Educational Objectives.
Finite Element (FE) simulation has been extensively used in cardiac modeling due to its ability to replicate normal cardiac physiology and adapt to simulate various cardiac pathologies. As such, different FE cardiac m...
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ISBN:
(纸本)9781510685888;9781510685895
Finite Element (FE) simulation has been extensively used in cardiac modeling due to its ability to replicate normal cardiac physiology and adapt to simulate various cardiac pathologies. As such, different FE cardiac models have been developed, but representing only a limited number of anatomical variations. A major bottleneck in the creation of new geometries, as with most anatomically based models, is image segmentation. In this work, we demonstrate a proof-of-concept workflow leveraging the Cardiac CT Auto Segmentation tool in the Synopsys' Simpleware (TM) software (Synopsys Inc., Mountain View, CA) [8]. This workflow aims to quickly and automatically segment patient anatomy from 4D cardiac CT image data and create patient-specific FE models. In our study, 4D CT data with 10 time steps through the entire cardiac cycle were imported into Synopsys' Simpleware, and the Cardiac CT Auto Segmentation tool segmented each timeframe in a fully automated process. The segmented patient 4D CT data can thus generate new FE cardiac geometries. Cardiac meshes produced from Synopsys' Simpleware's segmentations can be converted into a LS-DYNA model for patient-specific modeling and FE analysis. As demonstrated, our approach significantly reduces the manual effort required for image segmentation, facilitating the creation of clinically relevant and personalized cardiac models.
The robotic system is a key technology to develop space on-orbit service technologies. Though many feasible methods have been proposed in this field, the current motion planning methods are deficient in terms of gener...
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The proceedings contain 57 papers. The special focus in this conference is on Intelligent Systems. The topics include: A Computational Situationally Self-controlled Brain and Mind Interface Under Uncertainty;ethical C...
ISBN:
(纸本)9783031477201
The proceedings contain 57 papers. The special focus in this conference is on Intelligent Systems. The topics include: A Computational Situationally Self-controlled Brain and Mind Interface Under Uncertainty;ethical Concerns About Personhood, Responsibility, and Privacy in Active and Passive Brain-Computer Interfaces;The VesselAI Methodology for AI-Powered Decision Support Systems for the Maritime Industry;An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA;Convergence of the Mini-Batch SIHT Algorithm;graph Autoencoder-Based Detection of Unseen False data Injection Attacks in Smart Grids;causal analysis of Artificial Intelligence Adoption in Project Management;comparative Lightweight Scheme for Individual Identification Through Hand-Vein Patterns;URL Classification with Intrusion Detection System;designing Cancellation Intervention System with Sliding Lead Times;NP4G: Network Programming for Generalization;Blockchain and AI for Optimizing Bank data Security;streamlining Conceptual modeling;E-Step control: Solution for processing and analysis of IS Users Activities in the Context of Insider Threat Identification Based on Markov Chain;Machine Learning Based Intelligent Irrigation System Using WSN;comparison of Artificial Neural Networks Algorithms on datasets with Different Characteristics;boosting Federated Multitask Learning: Transfer Effects in Cross-Domain Drug-Target Interaction Prediction;Surveying Impacts of AI in Education and Creative Practices;active Risk Mitigation for Unmanned Aerial Systems;Towards Explainable AI: Relationship Between Twitter Sentiment, User Behaviour, and Bitcoin Price Prediction;automatic Generation of a Portuguese Land Cover Map with Machine Learning;Production Portfolio Theory II—First Steps Towards a General Portfolio Theory and Numerical Examplifications;AI as a Threat to Education: Contrasting GPT-3 and Google in Answering Questions Along Bloom’s Taxonomy of Educational Objectives.
The proceedings contain 42 papers. The topics discussed include: dynamic simulation and analysis of engagement process for logarithmic spiral bevel gear based on accurate 3D model;simulation research on automatic comp...
The proceedings contain 42 papers. The topics discussed include: dynamic simulation and analysis of engagement process for logarithmic spiral bevel gear based on accurate 3D model;simulation research on automatic compensation technology of ADN based on neutral point active compensation;optimization method of overall parameters of dual pulse missile based on surrogate model;research on chain fault prevention model considering voltage stability;effect of the electromagnetic susceptibility of metal interconnects: a simulation study;modeling and simulation analysis of the temperature field of high speed missile cabin;discrete-time modelling to determine the possible operation points of incomplete-resonance wireless power transfer system;and numerical simulation of impact resistance of composite honeycomb sandwich radome under high-speed impact.
The proceedings contain 9 papers. The topics discussed include: analysis and comparison of artificial neural network and traveling wave algorithm for distribution networks fault location;optimizing the efficiency of a...
ISBN:
(纸本)9798350302035
The proceedings contain 9 papers. The topics discussed include: analysis and comparison of artificial neural network and traveling wave algorithm for distribution networks fault location;optimizing the efficiency of a three phase axial flux synchronous generator for use in direct-drive wind turbines and modeling by 3D finite element method;CES and UPFC based supplementary control mechanism for stability of multi area power system under IDDF regulator;optimal power flow in an islanded renewable microgrid using artificial gorilla troops optimizer;a review of power system oscillations for a grid-connected photovoltaic (PV) system;voltage regulation in a DC microgrid with renewable energy resources, energy storage systems and electric vehicles station using hierarchical control method;long term forecasting of electrical energy consumption for Iran based on optimized artificial neural networks and socio-economic indicators data;evaluation of false data injection to meters in developed energy hub system;and reducing the loading of lines in distribution power system by optimizing the location of electric vehicle parking and distributed generation sources.
The unexpected stop of a machine that is part of a larger system is orders of magnitude more costly in time and money than planned, Predictive Maintenance (PdM) of the machine would have been. The use of AI for solvin...
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Context modeling plays a very important role in data compression. In the arithmetic coding process, one usually classifies the data to be encoded into several contexts according to the characteristic of the causal par...
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ISBN:
(数字)9786165904773
ISBN:
(纸本)9786165904773
Context modeling plays a very important role in data compression. In the arithmetic coding process, one usually classifies the data to be encoded into several contexts according to the characteristic of the causal part. Each context has a frequency table, which reflects the probability distribution of the data belonging to this context. However, in practice, it often happens that the characteristic of the causal part is between that of two contexts. For example, if we assign the context according to whether the average gradient of the causal part is greater or smaller than 10, when the average gradient is around 10, if we assign the case into one of the contexts, since the input is not typical for both two contexts, the coding gain may not be achieved. In this work, we proposed an idea of mixed context. That is, in the intermediate case, the frequency table is constructed from that of the two adjacent contexts. Moreover, after encoding the data, the frequency table of both the two contexts are adjusted. Experiments for the example of JPEG DC term and lossless image encoding show that, with the proposed algorithm, the coding efficiency can be much improved and the frequency table converges to the truth probability distribution quickly.
Video and image monitoring is increasingly appearing in our home, travel and other aspects. Through video and image analysis and comparison of video and image monitoring data, it can provide strong analysis support ca...
with the continuous deepening of oil and gas exploration and development, unconventional, composite and other complex oil and gas reservoirs have gradually become the focus of exploration and development. At present, ...
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