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2017年IEEE EMBS国际医学计算机建模暑期学校（2017 IEEE EMBS International Summer School on Computer Modeling in Medicine）
2017年 IEEE EMBS 国际医学 计算机 建模 暑期学校
2017/5/22
Computer models play a significant role in the design and evaluation of medical devices and technologies, and are increasingly being used to enable personalized treatment delivery strategies. Prominen...
2017金融和经济数据集与宏观建模数据科学国际研讨会（International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets）
2017 金融 经济数据集 宏观建模 数据科学 国际研讨会
2017/4/10
The promise of Big Data, linked data and social data is the availability of large scale yet granular datasets to support modeling of complex ecosystems reflecting cyber-human decision making. While co...
Large Scale Numerical Modeling in Geotechnical Earthquake Engineering
numerical simulation geotechnical earthquake parallel computing liquefaction seismic response soil dynamics
2015/6/30
Calibration, based on data from centrifuge and shake-table experiments continues to promote the development of more accurate computational models. Capabilities such as coupled solid-fluid formulations...
Variations on Stigmergic Communication to Improve Artificial Intelligence and Biological Modeling
biologically inspired cancer complex systems modeling stigmergy
2014/12/18
Stigmergy refers to indirect communication that was originally found in biological systems. It is used for self-organization by ants, bees, and flocks of birds, by allowing individuals to focus on loc...
Multiscale Modeling of Human Addiction: a Computational Hypothesis for Allostasis and Healing
cognitive learning computational biology high dimensional dynamical system knowledge repository model natural recovery
2014/12/18
This dissertation presents a computational multiscale framework for predicting behavioral tendencies related to human addiction. The research encompasses three main contributions. The first contributi...
Accurate and Robust Mechanical Modeling of Proteins
computational biology molecular modeling proteins rigidity theory
2014/12/18
Through their motion, proteins perform essential functions in the living cell. Although we cannot observe protein motion directly, over 68,000 crystal structures are freely available from the Protein ...
SEGMENTATION AND MODELING IN SEGMENT-BASED RECOGNITION
SEGMENTATION MODELING SEGMENT-BASED RECOGNITION
2014/11/27
Recently, we have developed a probabilistic framework for segmentbased speech recognition that represents the speech signal as a network of segments and associated feature vectors [2]. Although in gen...
An integrated computer modeling system for water resource management（图）
computer modeling system water resource management
2014/1/31
Water resource management involves numerous and often distinct areas, such as hydrology, engineering, economics, public policy, chemistry, ecology and agriculture, among others. It is a multi-discipli...
A GLOBAL “NATURAL” GRID MODELING METHOD BASED ON TERRAIN TOPOLOGICAL STRUCTURE
Natural GNG Topological Structure Morse Theory Representation
2013/4/21
In this paper, a Global “Natural” Grid (GNG) modeling method based on the terrain topological structure is proposed. GNG
partitions the earth surface into “natural” cells by using the natural terrain...
A Critical Analysis and Treatment of Important UML Diagrams Enhancing Modeling Power
UML Critical Analysis Use Cases Sequence Diagrams Class Diagrams
2012/9/27
Requirements analysis and design specification are serious issues in systems development because of the semantics involved in transformation of real world problems to computer software systems. Althou...
Biological-Inspired Computational Modeling of Eye-Motion Control for Object Detection
Biological-Inspired Computational Modeling Eye-Motion Control
2009/12/31
Eye movement plays an important role in human vision system. How to control eye or gaze movement automatically for image understanding is an interesting issue.This paper presents a progress of our res...
Optimal Forward Kinematics Modeling of Stewart Manipulator Using Genetic Algorithms
Stewart Forward Kinematics Predicted Squared Error Genetic Algorithm
2009/12/30
In this paper, a new technique for modeling the forward kinematics of a Stewart manipulator is presented based on a predicted squared error cost function. Initially, the inverse kinematics model was i...