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Diverse <i>dif</i> module content and configurations in the r3-T5 group of Rep_3/OrfX plasmids from <i>Acinetobacter</i> species reveal extensive <i>dif</i> module shuffling. [PDF]
Microbiol SpectrAmbrose SJ, Xiao SL, Hall RM.
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Deep learning-based detection of bowel sound events in continuous recordings. [PDF]
Sci RepÇelik Y.
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jnanabha, 2023
In this paper, we study and establish some results on properties of d-frames [1] and d-frame operators. Also, we present a result on the perturbation analysis of the d-frames.
Chetna Mehra +2 more
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In this paper, we study and establish some results on properties of d-frames [1] and d-frame operators. Also, we present a result on the perturbation analysis of the d-frames.
Chetna Mehra +2 more
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The Booleanization of a d-frame
Applied Categorical Structures, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Qualitative models of 3-D frame-transformation motions
Proceedings of 1995 IEEE International Conference on Robotics and Automation, 2002Qualitative spatial reasoning has been used for representing landmarks, path and grasp planning, shape recognition etc, but has generally not been extended beyond 2-D. In this paper, we develop a 3-D spatial reasoning algebra, using qualitative versions of (a) Gibbs-Heaviside vector calculus with homogeneous coordinates, and (b) screw calculus motions ...
Amitabha Mukerjee, Nishant Mittal
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Stochastic Equivalent Linearization for 3‐D Frames
Journal of Engineering Mechanics, 1988Recent state-of-the-art reports emphasize the generality of stochastic equivalent linearization techniques in the nonlinear dynamic analysis of stochastically excited structures. When a three-dimensional frame is considered, it cannot be studied by decomposing the structure into several plane frames due to the impossibility of summing the effects that ...
CASCIATI, FABIO, FARAVELLI, LUCIA
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A DQN-Based Autonomous Car-Following Framework Using RGB-D Frames
2020 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT), 2020Modeling car-following behavior has recently garnered much attention due to the wide variety of applications it may be utilized in, such as accident analysis, driver assessment, and support systems. Some of the latest approaches investigate scenario-based autonomous driving algorithms.
Hamdi Friji +3 more
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