An evolutionary multiobjective method based on dominance and decomposition for feature selection in classification Liang, Jing; Zhang, Yuyang; Chen, Ke; Qu, Boyang; Yu, Kunjie; Yue, Caitong; Suganthan, Ponnuthurai Nagaratnam Sci China Inf Sci, 2024, 67(2): 120101Keywords...
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Further, the collection of self-reported data concerning both exposure and its effects in one single questionnaire may have introduced a bias in the responses given by the workers [14]. A way to address this issue is to add or replace the questionnaire with recordings of computer use and ...
Classification models are usually trained with a large dataset to identify simple objects like dogs, cats, chairs, or very specific ones like the type of vehicles in a road scene. The quality of the classification output depends on the training data used. The more the quantity and diversity ...
This period was a watershed moment for climate advocacy with the release of An Inconvenient Truth and its subsequent Academy Award, the awarding of the Nobel Peace Prize to Al Gore and the IPCC, as well as the publication of a landmark report by the Union of Concerned Scientists criticizing ...
Most commonly used tools for part family formation are production flow analysis, and coding and classification system. This approach mostly uses backward or bottom-up planning, tracing the workpiece from finished to raw stage. Quality of process plan still depends on the knowledge of process planner...
Computer classification of remote sensing images is pattern recognition technology and its application in the field of remote sensing technology. This article uses a non-supervised classification in pattern recognition of k-means clustering method for multi-dimensional remote sensing image classific ...
Digital Finance, Household Income and Household Risky Financial Asset Investment Yan Shen, Wenxiu Hu, Yu Zhang Pages 244-251 View PDF Article preview select article Rethinking Golf Swing Classification: From A Frequency Domain View Research articleOpen access Rethinking Golf Swing Classification: From A...
Chapters and Articles Related Terms Recommended Publications Common questions AI-generated What is object detection and how does it combine image classification and object localization? What are deep image-to-image networks and how are they used in computer vision tasks? How have Convolutional Neural ...
A computer science degree focuses on the theoretical and practical foundations of computation and its applications. It involves studying well-defined models such as algorithms and protocols to understand and innovate in information processing. This field is considered foundational, enabling advancements in ...