Results 21 to 30 of about 517,784 (313)
An appropriate model to correct thermal radiation anisotropy is important for the wide applications of land surface temperature (LST). This paper evaluated the performance of three published directional thermal radiation models—the Roujean–Lagouarde (RL)
Xiangyang Liu +2 more
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Development of an Adaptive Trajectory Tracking Control of Wheeled Mobile Robot
Classical modeling and control methods applied to differential locomotion mobile robots generate mathematical equations that approximate the dynamics of the system and work relatively well when the system is linear in a specific range. However, they may
Guiovanny Suarez-Rivera +2 more
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METHODOLOGY OF AUDIT ESTIMATION OF THE INTERCOMPANY CORPORATE CONTROL SYSTEM
It is substantiated and proposed in the article the methodology of audit assessment system of quality state of intercompany control, its components and the tools of practical use.
I. M. Dmytrenko
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Action classification using a discriminative non-parametric hidden Markov model [PDF]
We classify human actions occurring in videos, using the skeletal joint positions extracted from a depth image sequence as features. Each action class is represented by a non-parametric Hidden Markov Model (NP-HMM) and the model parameters are learnt in ...
Maybank, Stephen J. +5 more
core +1 more source
Computationally Efficient Force and Moment Models for Propellers in UAV Forward Flight Applications
Two low-order, parametric models are developed for the forces and moments that a rotating propeller undergoes in forward flight. The models are derived using a first-principles-based approach, and are computationally efficient in the sense of being ...
Rajan Gill, Raffaello D’Andrea
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Vertical farming (VF) is an emerging cultivation frame that maximizes total plant production. However, the high energy-consuming artificial light sources for plants growing in the lower and middle layers significantly affect the sustainability of the ...
Dongdong Jia +5 more
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Semi-automated stereoradiographic upper limb 3D reconstructions using a combined parametric and statistical model: a preliminary study [PDF]
PURPOSE: Quantitative assessment of 3D clinical indices may be crucial for elbow surgery planning. 3D parametric modeling from bi-planar radiographs was successfully proposed for spine and lower limb clinical investigation as an alternative for CT-scan ...
CLAIREMIDI, Alain +17 more
core +1 more source
Abstract We present a general class of machine learning algorithms called parametric matrix models. In contrast with most existing machine learning models that imitate the biology of neurons, parametric matrix models use matrix equations that emulate physical systems.
Patrick Cook +4 more
openaire +3 more sources
An Embedded, Multi-Modal Sensor System for Scalable Robotic and Prosthetic Hand Fingers
Grasping and manipulation with anthropomorphic robotic and prosthetic hands presents a scientific challenge regarding mechanical design, sensor system, and control.
Pascal Weiner +4 more
doaj +1 more source
Implicit 3D Human Reconstruction Guided by Parametric Models and Normal Maps
Accurate and robust 3D human modeling from a single image presents significant challenges. Existing methods have shown potential, but they often fail to generate reconstructions that match the level of detail in the input image.
Yong Ren +6 more
doaj +1 more source

