We present a learning environment aimed at the formation of nurses in a surgical intensive care unit. As a prototype within the SAFARI project, the main objectives are to combine within a single application different ...
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The degenerative condition known as Chronic Kidney Disease (CKD) impairs kidney function and causes waste products to build up in the body. Early CKD prediction and identification can stop or slow the disease's pr...
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Hand gesture classification is a key step of gesture based human-computer interaction. The hand gesture dataset with depth information is increasing faster which brings challenges for deep neural network-based hand ge...
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ISBN:
(纸本)9781450371926
Hand gesture classification is a key step of gesture based human-computer interaction. The hand gesture dataset with depth information is increasing faster which brings challenges for deep neural network-based hand gesture classification model, such as data loading of big gesture data, optimization of model and visualization of training stage. In this paper, an optimization method of deep neural network-based hand gesture classification model for large-scale dataset is proposed, which improves the efficiency of data loading and makes the model have better time complexity and space complexity. Experimental results show that the proposed optimization method can effectively improve the training efficiency of classification model for large gesture data sets, and make classification models easy to train in a unified framework, which provides a good foundation for the research of hand gesture classification model.
The proceedings contain 35 papers. The special focus in this conference is on Computer Assisted learning. The topics include: Preface;experiences using algorithm animations for teaching and research;simulating the beh...
ISBN:
(纸本)9783540526995
The proceedings contain 35 papers. The special focus in this conference is on Computer Assisted learning. The topics include: Preface;experiences using algorithm animations for teaching and research;simulating the behaviour of three dimensional reticular structures with both curved and straight elements;an abstract machine simulator;a model of the acquisition of rule knowledge with visual helps: The operational knowledge for a functional, visual programming language;knowledge representation with and-or-graphs: Comparing the approach of doignon and falmagne with the absynt-diagnostics;computer assisted concept learning;user modelling in help systems;proactive modelling and the development of coaching strategies in Geometry;a classification and synthesis of student modelling techniques in intelligent computer-assisted instruction;maccritic: A program for practice in textual analysis and criticism;linking real-time measurement with cal;computer science for teachers: A quest for classics, and how to present them;a "tiny tool" for matrix inversion in a costoc environment;hyper information in instructional tool environments;towards a typology of educational uses of hypermedia;the direct use of already existing user manuals for computer aided instruction and information retrieval with the aid of hypermedia;the meda project: Developing evaluation competence in the training software domain;teaching software for structural engineering;computer-based flight training evaluation;interactive learning programs for unix-machines: First results of the COLOS project;dimensions of authoring aids intelligence;implementing computer-aided instruction in distance education: An infrastructure;educational software development - why. What, and how;wombat: An intelligent educational system to encourage externalisation and reflection on decision processes;human-computer graphical dialogue.
This research introduces the innovative application of the Cuckoo Search optimization Algorithm (CSOA) to strategically determine the optimal placement of Thyristor Controlled Series Capacitors (TCSC) within Flexible ...
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Surface electromyography hand gesture recognition has received a lot of interest, particularly in the domain of human-computer interfaces and intelligent natural rehabilitation in the last several years. Previous rese...
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Extreme learning Machine (ELM) is a novel learning algorithm. It is basically a feedforward neural network with one hidden layer, fixed input weights and fixed biases. ELM has become popular in recent years due to the...
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ISBN:
(纸本)9783319608341;9783319608334
Extreme learning Machine (ELM) is a novel learning algorithm. It is basically a feedforward neural network with one hidden layer, fixed input weights and fixed biases. ELM has become popular in recent years due to the fast learning speed and good generalization performance. A novel approach based on Conjugate Gradient Method (CG) is proposed in this Article to improve original ELM. As experiments show, proposed approach is both faster and have higher quality on all tested datasets. Results have also shown that higher quality can be achieved after four iterations of CG. This means that expensive pseudo-inverse operation used in the original algorithm can be replaced by four matrix-vector multiplication and several scalar products. Therefore the proposed approach is more suitable for parallel architectures or can be used for larger datasets.
In an era embarked by technological advancements, enhancing the efficiency of law enforcement processes is crucial for maintaining public safety. This paper presents a comprehensive study on "Helmet and Number Pl...
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