Results 21 to 30 of about 67,964 (199)
DNN-Based Slip Ratio Estimator for Lugged-Wheel Robot Localization in Rough Deformable Terrains
This paper presents a deep neural network (DNN)-based slip ratio estimator fused with an invariant extended Kalman filter (IEKF) for lugged-wheel robot localization using an inertial sensor and an encoder.
Chul-Hong Kim, Dong-Il Cho
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The second, genome-wide phase of the Encyclopedia of DNA Elements (ENCODE) project is being reported.
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The aim of this study was to examine the validity and reliability of an Inertial Measurement System integrated into a secondary pulley (IMS) for determining linear velocity during flywheel squat exercises.
Sergio Maroto-Izquierdo +3 more
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With the development of various network technologies and the spread of coronavirus disease 2019, many online learning platforms have been built. However, some of them may negatively impact student learning outcomes.
Lijuan Yuan +3 more
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Deep Learning-Based MRI Brain Tumor Segmentation With EfficientNet-Enhanced UNet
Medical image segmentation plays a critical role in the field of medical image processing. Precisely delineating brain tumor areas from multimodal MRI scans is crucial for clinical diagnosis and predicting patient outcomes. However, challenges arise from
Pradeep Kumar Tiwary +3 more
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We consider the following problem: given three sets of real numbers, output a word-RAM data structure from which we can efficiently recover the sign of the sum of any triple of numbers, one in each set. This is similar to a previous work by some of the authors to encode the order type of a finite set of points.
Cabello, Sergio +5 more
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Predicting the accurate future price of the agricultural crops is important to avoid overproduction or shortages in the food supply chain. To obtain accurate predictions, the process usually involves large and complex datasets, which would add to ...
Caceja Elyca Anak Bundak +7 more
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Optimized Single-Axis Schedule Solar Tracker in Different Weather Conditions
Improving the efficiency of solar panels is the main task of solar energy generation. One of the methods is a solar tracking system. One of the most important parameters of tracking systems is a precise orientation to the Sun.
Nurzhigit Kuttybay +7 more
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Brain tumor segmentation by deep learning transfer methods using MRI images
Brain tumor segmentation is one of the most challenging tasks of medical image analysis. The diagnosis of patients with gliomas is based on the analysis of magnetic resonance images and manual segmentation of tumor boundaries.
E.Y. Shchetinin
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Encoding Race, Encoding Class [PDF]
In Encoding Race, Encoding Class Sareeta Amrute explores the work and private lives of highly skilled Indian IT coders in Berlin to reveal the oft-obscured realities of the embodied, raced, and classed nature of cognitive labor. In addition to conducting fieldwork and interviews in IT offices as well as analyzing political cartoons, advertisements, and
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