94 results for “robust test”

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Research ArticleOpen accessAll words, across the recordA Method for Fast and Robust Intensity Based 2D/3D Registration in Differentiable FrameworkAgung Alfiansyah, Izzati Muhimmah, Arif Sasongko et al.This study introduces an innovative intensity-based registration method designed to align 3D image data volumes, such as Computed Tomography (CT), with 2D data, such as X-ray images, a crucial component of intra-operative navigation in image-guided surgery. Leveraging advanced autodifferentiable reconstruction techniques based on the GPU-accelerated Siddon algorithm, the proposed approach facilitates the generation of differentiable Digitally Reconstructed Radiographs (DRRs), enabling … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 4,820 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordLiDAR-Based Obstacle Detection and Avoidance for Navigation and Control of an Unmanned Ground Robot Using Model Predictive ControlSai Charan Dekkata, Sun Yi, M. A. Muktadir, Selorm GarfoUnmanned Ground Vehicles (UGVs) have, as of late, been utilized in a wide assortment of utilizations because of their flexibility, diminished expense, and quick response, among other benefits. Search and Rescue (SAR) is quite possibly the most conspicuous zones for the work of UGVs instead of a monitored mission, mainly due to its impediments on the expenses, human resources, and … …Journal of Mechatronics and Robotics, Vol. 7, Issue 1 · 30 Mar 2023 · 8,213 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordDensity Power Downweighting and Robust Inference: Some New StrategiesSaptarshi Roy, Kaustav Chakraborty, Somnath Bhadra, Ayanendranath BasuPreserving the robustness of the procedure has, at the present time, become almost a default requirement for statistical data analysis. Since efficiency at the model and robustness under misspecification of the model are often in conflict, it is important to choose such inference procedures which provide the best compromise between these two concepts. Some minimum Bregman divergence estimators and related … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 8 Dec 2019 · 7,709 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordFLYER: A Simple Yet Robust Model for Estimating Yield Loss from Rice False Smut Disease (Ustilaginoidea virens)Bodrun Nessa, Moin U. Salam, A.H.M. Mahfuzul Haque et al.Rice False Smut (RFSm) is presently an internationally important fungal disease of rice. While the Yield Loss (YL) from this disease is reported in many countries, there exists no tool to instantly estimate the YL by visual field inspection. This study developed a simple model, FLYER, for this purpose. The model is run by two inputs: (i) fraction of productive … …American Journal of Agricultural and Biological Sciences, Vol. 10, Issue 1 · 21 Apr 2015 · 8,012 accessesView PDF Cite