Results 21 to 30 of about 9,977 (122)
The evaluation of trajectory reconstruction of the human body obtained by foot-mounted Inertial Pedestrian Dead-Reckoning (IPDR) methods has usually been carried out in controlled environments, with very few participants and limited to walking.
Jesus D. Ceron +4 more
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A universal approach to determine footfall timings from kinematics of a single foot marker in hoofed animals [PDF]
The study of animal movement commonly requires the segmentation of continuous data streams into individual strides. The use of forceplates and foot-mounted accelerometers readily allows the detection of the foot-on and foot-off events that define a ...
Sandra D. Starke, Hilary M. Clayton
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A Multi-Sensor Matched Filter Approach to Robust Segmentation of Assisted Gait
Individuals with mobility impairments related to age, injury, or disease, often require the help of an assistive device (AD) such as a cane to ambulate, increase safety, and improve overall stability.
Satinder Gill, Nitin Seth, Erik Scheme
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Deep Ensembles Based on Stochastic Activations for Semantic Segmentation
Semantic segmentation is a very popular topic in modern computer vision, and it has applications in many fields. Researchers have proposed a variety of architectures for semantic image segmentation.
Alessandra Lumini +2 more
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Remote Sensing for Monitoring Photovoltaic Solar Plants in Brazil Using Deep Semantic Segmentation
Brazil is a tropical country with continental dimensions and abundant solar resources that are still underutilized. However, solar energy is one of the most promising renewable sources in the country.
Marcus Vinícius Coelho Vieira da Costa +8 more
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Real-Time Weed Control Application Using a Jetson Nano Edge Device and a Spray Mechanism
Portable devices play an essential role where edge computing is necessary and mobility is required (e.g., robots in agriculture within remote-sensing applications). With the increasing applications of deep neural networks (DNNs) and accelerators for edge
Eduardo Assunção +6 more
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INet: Convolutional Networks for Biomedical Image Segmentation
Encoder-decoder networks are state-of-the-art approaches to biomedical image segmentation, but have two problems: i.e., the widely used pooling operations may discard spatial information, and therefore low-level semantics are lost. Feature fusion methods
Weihao Weng, Xin Zhu
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Additional file 2: Table S1–S3. Detailed performance metrics of the free-living segmentation evaluation together with respective p-values and Cohen’s d effect sizes.
Roth, Nils +7 more
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Analysis on Solar Panel Crack Detection Using Optimization Techniques [PDF]
A Solar panel is considered as a proficient power hotspot for the creation of electrical energy for long years. Any deformity on the solar cell panel’s surface will prompt to decreased production of power and loss in the yield. Subsequently, the location
M.D. Dafny Lydia +2 more
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Mask-Refined R-CNN: A Network for Refining Object Details in Instance Segmentation
With the rapid development of flexible vision sensors and visual sensor networks, computer vision tasks, such as object detection and tracking, are entering a new phase.
Yiqing Zhang, Jun Chu, Lu Leng, Jun Miao
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