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Titlebook: Human-Computer Systems Interaction; Backgrounds and Appl Zdzis?aw S. Hippe,Juliusz L. Kulikowski Book 2009 Springer-Verlag Berlin Heidelber

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31#
發(fā)表于 2025-3-27 01:01:16 | 只看該作者
Eye-Mouse for Disabledtronic components. Usage of popular webcams makes the system inexpensive. In dual camera system one camera is used for pupil tracking while second one controls position of the head relative to the screen. Two detection algorithms have been developed and implemented – pupil detection and the screen p
32#
發(fā)表于 2025-3-27 01:11:44 | 只看該作者
33#
發(fā)表于 2025-3-27 07:12:50 | 只看該作者
HMM-Based System for Recognizing Gestures in Image Sequences and Its Application in Continuous Gestus colour-based image segmentation methods and introduces high-dimensional feature vectors to more accurately describe hand shape in the picture. It also utilizes . knowledge on gestures structure in order to allow effective dimensionality reduction, hand posture classification and detection schemes.
34#
發(fā)表于 2025-3-27 12:52:08 | 只看該作者
Machine Learning of Melanocytic Skin Lesion Images attributional calculus (AQ21) and MLP and SVM supervised methods to discover patterns in the melanocytic skin lesion images. This methodology can be treated as a non-invasive approach to early diagnosis of melanoma. Our feature set is composed of wavelet-based multi-resolution filters of the dermat
35#
發(fā)表于 2025-3-27 16:16:23 | 只看該作者
36#
發(fā)表于 2025-3-27 20:07:57 | 只看該作者
37#
發(fā)表于 2025-3-27 22:39:13 | 只看該作者
38#
發(fā)表于 2025-3-28 04:03:15 | 只看該作者
Self-directed Training in an Evidence-Based Medicine Experimentudents. Fourteen tutorials and a series of supplementary materials were developed and integrated into a virtual self-directed training environment in order to provide the opportunity to learn about and to assess evidence-based medicine knowledge and skills. The interactive web-based approach was eff
39#
發(fā)表于 2025-3-28 09:28:04 | 只看該作者
40#
發(fā)表于 2025-3-28 10:54:09 | 只看該作者
https://doi.org/10.1007/978-3-662-13383-5om 42 descriptive attributes, just 5 from them were never accessed in the decision rules induction process. On the other hand parameters having the larger frequency quotient (importance of the parameter in diagnostic process) should be diagnosed very carefully.
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