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Metal-organic frameworks, a class of materials with porous molecular structures, have a variety of possible applications, such as capturing harmful gases and catalyzing chemical reactions. Made of met...
VAULT MODELING WITH NEURAL NETWORKS
Automation Machine learning Modeling Neural Network Point cloud Vault
2019/3/1
Nowadays, the digital reconstruction of vaults is carried out using photogrammetric and laser scanning techniques able to capture the visible surface with dense point clouds. Then, different modeling ...
URBAN EXPANSION MODELING APPROACH BASED ON MULTI-AGENT SYSTEM AND CELLULAR AUTOMATA
Urban expansion Modeling Multi-agent system Cellular automata
2018/4/30
Urban expansion is a land-use change process that transforms non-urban land into urban land. This process results in the loss of natural vegetation and increase in impervious surfaces. Urban expansion...
An optimized multi agent-based modeling of smart rescue operation
Multi-agent based modeling Resource allocation Multiplicatively Weighted Network Voronoi Diagram Particle Swarm Optimization Smart rescue operation Smart city
2018/3/6
After the incidence of a disaster, a high demand for first-aid and a huge number of injured will emerge at the affected areas. In this paper, the optimum allocation of the medical assistance to the in...
An optimized multi agent-based modeling of smart rescue operation
Multi-agent based modeling Resource allocation Multiplicatively Weighted Network Voronoi Diagram Particle Swarm Optimization Smart rescue operation Smart city
2018/3/6
After the incidence of a disaster, a high demand for first-aid and a huge number of injured will emerge at the affected areas. In this paper, the optimum allocation of the medical assistance to the in...
2017年生物建模与计算神经科学研讨会（Workshop on Bioinspired modeling and Computational Neuroscience）
2017年 生物建模与计算神经科学 研讨会
2017/8/31
The scope of International Conference on Advances in Computing, Communications and Informatics (ICACCI) is to provide an international forum for the exchange of ideas among interested researchers, stu...
第13届语境和活动建模与识别研讨会（13th Workshop on Context and Activity Modeling and Recognition）
第13届 语境活动建模 识别 研讨会
2017/2/14
CoMoRea workshop’s aim is to advance the state of the art in context modeling and reasoning and discuss fundamental issues in context processing and management.
The goal is to identify concepts, the...
Probabilistic Dialogue Modeling for Speech-Enabled Assistive Technology
spoken dialogue systems speech interfaces POMDPs
2014/11/27
People with motor disabilities often face substantial challenges using interfaces designed for manual interaction. Although such obstacles might be partially alleviated by automatic speech recognition...
Multi-level Context-dependent Acoustic Modeling for Automatic Speech Recognition
Multi-level Context-dependent Acoustic Modeling Automatic Speech Recognition
2014/11/27
In this paper, we propose a multi-level, contextdependent acoustic modeling framework for automatic speech recognition. For each context-dependent unit considered by the recognizer, we construct a set...
A Comparative Investigation of Morphological Language Modeling for the Languages of the European Union
Comparative Investigation Morphological Language Modeling the Languages of the European Union
2013/4/17
We investigate a language model that combines morphological and shape features with a Kneser-Ney model and test it in a large
crosslingual study of European languages.Even though the model is generic...
Application of Neural Net Modeling and Inverse Control to the Desulphurization of Hot Metal Process
Inverse control Neural network Constrained optimization
2010/1/14
Optimization techniques are powerful in determining inputs to a process that will drive its output to a desired target. This
inverse control problem reduces to minimizing a positive cost function tha...
An Implicit Surface Modeling Technique Based on a Modular Neural Network Architecture
Geometric Modeling Implicit Surfaces Neural Networks
2009/7/28
Independently from artificial intelligence applications, an artificial neural network can be viewed as a powerful tool for function reconstruction. Previous papers used this property to model an impli...