Results 271 to 280 of about 24,061,183 (328)
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Analytical Chemistry, 2019
Evaluation of an analytical method is a fundamental problem in analytical chemistry, and it is never straightforward. In this article we show a perspective for facing this issue using an original tool.
P. Nowak, P. Kościelniak
semanticscholar +1 more source
Evaluation of an analytical method is a fundamental problem in analytical chemistry, and it is never straightforward. In this article we show a perspective for facing this issue using an original tool.
P. Nowak, P. Kościelniak
semanticscholar +1 more source
Information Retrieval in the Age of Generative AI: The RGB Model
Annual International ACM SIGIR Conference on Research and Development in Information RetrievalThe advent of Large Language Models (LLMs) and generative AI is fundamentally transforming information retrieval and processing on the Internet, bringing both great potential and significant concerns regarding content authenticity and reliability.
M. Garetto +5 more
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Time-Variant RGB Model for Minimal Cell Allocation and Scheduling in 6TiSCH Networks
IEEE Transactions on Mobile ComputingIEEE has standardized the 802.15.4e Time Slotted Channel Hopping (TSCH) mode to provide stringent latency, higher reliability, and low duty-cycle in various Internet of Things (IoT) applications.
Alakesh Kalita, M. Khatua
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Isprs Journal of Photogrammetry and Remote Sensing, 2019
Crop biomass estimation with high accuracy at low-cost is valuable for precision agriculture and high-throughput phenotyping. Recent technological advances in Unmanned Aerial Systems (UAS) significantly facilitate data acquisition at low-cost along with ...
M. Maimaitijiang +9 more
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Crop biomass estimation with high accuracy at low-cost is valuable for precision agriculture and high-throughput phenotyping. Recent technological advances in Unmanned Aerial Systems (UAS) significantly facilitate data acquisition at low-cost along with ...
M. Maimaitijiang +9 more
semanticscholar +1 more source
C²Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection
IEEE Transactions on Geoscience and Remote Sensing, 2023Object detection on visible (RGB) and infrared (IR) images, as an emerging solution to facilitate robust detection for around-the-clock applications, has received extensive attention in recent years. With the help of IR images, object detectors have been
Maoxun Yuan, Xingxing Wei
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Hierarchical multi-modal fusion FCN with attention model for RGB-D tracking
Information Fusion, 2019In this paper, we propose a RGB-D tracking algorithm, built upon hierarchical multi-modal fusion fully convolutional neural network (FCN) with attention model.
Ming-Xin Jiang +5 more
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RGB-D SLAM Based Incremental Cuboid Modeling
2019This paper present a framework for incremental 3D cuboid modeling combined with RGB-D SLAM. While performing RGB-D SLAM, planes are incrementally reconstructed from point clouds. Then, cuboids are detected in the planes by analyzing the positional relationships between the planes; orthogonality, convexity, and proximity. Finally, the position, pose and
Masashi Mishima +6 more
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RGB-D fusion models for construction and demolition waste detection
Waste Management, 2022The development of urbanization has brought a large amount of construction and demolition waste (CDW), which occupy land and cause adverse ecological effects. To effectively solve the negative impact of CDW, it needs to be recycled. Accurate waste classification is key to successful waste management.
Jiantao Li +5 more
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Large-Scale Gesture Recognition With a Fusion of RGB-D Data Based on Saliency Theory and C3D Model
IEEE transactions on circuits and systems for video technology (Print), 2018Gesture recognition has raised wide attention in computer vision owing to its many applications. However, the task of video-based large-scale gesture recognition yet faces many challenges, since many gesture-irrelevant factors like the background may ...
Yunan Li +6 more
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Shadow Detection Based on rgb Color Model
2006A shadow detection scheme based on photometric invariant rgb color model is proposed. We firstly study the photometric invariance of rgb color model and deduce some important property. The algorithm combines the cues of moving cast shadow on brightness and chromaticity successively to detect candidate shadow regions in rgb color space; finally, a post ...
Baisheng Chen, Duansheng Chen
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