Systems and Synthetic Biology■Computer Systems and Software Engineering■Fundamentals of High Performance Computing Systems■Geoinformatics■Intelligent Robotics■Knowledge Representation and Reasoning■Learning from Data■
PhD in Physics University of California, Los Angeles RELEVANT RESEARCH INTEREST Complex systems, statistical physics, neuralcomputation, multi-agent systems,optimization, optimal control in telecommunication networks, transportation networks and power grids BIOGRAPHY 王教授在香港大学获得理学学士学位,在美国加州大...
The fruitful integration of fuzzy systems and neural networks resulted in efficient hybrid systems capable of manipulating nonlinear problems. Such produced systems are adaptive inference systems that have the best advantages of the two-parent systems, namely: neural network learning ability and fuzzy ...
The procedure should be implemented in Python. This project is a continuity of another MSc thesis on inferring the residential building type from 3DBAG (here). From the outcomes of this MSc thesis, it will be expected to: Identify material properties, internal heat gains, and HVAC systems for...
Examples include the computation of tumor microvessel density to detect angiogenic hotspots [30], or to estimate the spatial distribution of nuclear size across WSIs in order to perform automatic grading of renal cell carcinoma [31]. In this work, extending our first introduction of the approach ...
Levenshtein - Fast computation of Levenshtein distance and string similarity. pangu.py - Spacing texts for CJK and alphanumerics. pyfiglet - An implementation of figlet written in Python. shortuuid - A generator library for concise, unambiguous and URL-safe UUIDs. unidecode - ASCII transliteration...
Conventional product development process includes computation of performance attributes of products based on 3D simulations. 3D simulations are resource-intensive, especially for modeling products (e.g., building a simulation model) and performing all required simulations. As such, efforts involved in ...
Moreover, multiple spatial contexts (MSC), including the features of intersecting roads, surrounding buildings, and points of interest (POIs), are distilled to describe multiple types of road more accurately. The MSC combined with geometric features and restricted features are put into DeepFM, in ...
Li [5] proposed an integrated method of spacecraft attitude measurement and control using a VSMSCSG configuration; however, since this configuration contained only four VSMSCSGs, the attitude measurement accuracy was limited, and the computation was complex. In addition, the study did not involve ...
More discriminative features: We developed a local channel spatial attention (LCSA) module to extract local feature maps to assist our model in the prediction of the scenes; Better recognition and lower computation complexity: We developed a multi-scale attention (MSA) module, which is modified fr...