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Titlebook: Ubiquitous Computing and Ambient Intelligence; 10th International C Carmelo R. García,Pino Caballero-Gil,Alexis Quesad Conference proceedin

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樓主: Jefferson
41#
發(fā)表于 2025-3-28 15:10:15 | 只看該作者
Machine Learning Method to Establish the Connection Between Age Related Macular Degeneration and Somsent a machine-learning based analysis to determine the relation of three single nucleotide SNPs and the AMD disease. The SNPs SNP_B, SNP_C remained in the top four relevant features with ophthalmologic surgeries and bilateral cataract. We aim also to determine the best set of features for the classification process.
42#
發(fā)表于 2025-3-28 18:58:41 | 只看該作者
43#
發(fā)表于 2025-3-29 01:18:53 | 只看該作者
44#
發(fā)表于 2025-3-29 03:14:24 | 只看該作者
Conference proceedings 2016er with 40 short papers ?and 5 doctoral consortium papers were carefully reviewed and selected from 145 submissions..?.UCAmI 2016 is focused on research topics related to ambient assisted living, internet of things, smart cities, ambient intelligence for health, human-computer interaction, ad-hoc and sensor networks, and security..
45#
發(fā)表于 2025-3-29 09:35:09 | 只看該作者
46#
發(fā)表于 2025-3-29 14:18:11 | 只看該作者
47#
發(fā)表于 2025-3-29 17:41:25 | 只看該作者
Enhancing Smart Environments with Mobile Robotsnts where a service robot is included within the sensor network acting as a mobile sensor and/or actuator. Our framework integrates off-the-shelf technologies to ensure its adaptability to a variety of sensor technologies and robotic software. Two pilot cases are presented as evaluation of our proposal.
48#
發(fā)表于 2025-3-29 20:16:48 | 只看該作者
49#
發(fā)表于 2025-3-30 01:33:17 | 只看該作者
Fall Detection Through Thermal Vision Sensingmputer vision processes and ceiling mounted thermal vision sensors. A preliminary evaluation has been performed on this process showing promising results, with an accuracy of 68?%, however, highlighting a number of issues related to false positives. Future work will improve this approach and provide extended evaluation.
50#
發(fā)表于 2025-3-30 08:01:28 | 只看該作者
Improving the Quality of User Generated Data Sets for Activity Recognitionnstrated the effects that this had on the development of activity recognition models with a decrease of performance for both support vector machine and decision tree based classifiers. The outcome of the study has led to the production of a strategy to ensure an initial training phase is considered prior to full scale collection of the data.
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