CATEGORY OF VECTOR BUNDLES ON ALGEBRAIC CURVES AND INFINITE DIMENSIONAL GRASSMANNIANS [PDF]
Motohico Mulase
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Design of a Tracking Controller Based on Machine Learning
ABSTRACT Tracking control of multibody systems is a challenging task requiring detailed modeling and control expertise. Especially in the case of closed‐loop mechanisms, inverse kinematics as part of the controller may become a game stopper due to the extensive calculations required for solving nonlinear equations and inverting complicated functions ...
Dieter Bestle, Sanam Hajipour
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Curvature estimation techniques for advancing neurodegenerative disease analysis: a systematic review of machine learning and deep learning approaches. [PDF]
Sadegh-Zadeh SA+5 more
europepmc +1 more source
Abstract This study investigates the implementation of the vortex particle method (VPM) with the goal of efficiently and accurately estimating the power performances and flow characteristics for a Savonius rotor. The accuracy and efficiency of simulation methods are critical for the reliable design of Savonius rotors.
Jingna Pan+2 more
wiley +1 more source
The Group-Algebraic Formalism of Quantum Probability and Its Applications in Quantum Statistical Mechanics. [PDF]
Gu Y, Wang J.
europepmc +1 more source
Interaction between heterogeneous thermal stratification and wakes of wind turbine arrays
Abstract The thermal heterogeneity between the land and sea might affect the wind patterns within wind farms (WF) located near seashores. This condition was modeled with a large‐eddy simulation of a numerical weather prediction model (Weather Research and Forecasting) that included the wind turbine actuator disk model (ADM).
Keisuke Nakao, Yasuo Hattori
wiley +1 more source
Lorentzian bordisms in algebraic quantum field theory. [PDF]
Bunk S, MacManus J, Schenkel A.
europepmc +1 more source
Some fundamental groups in the arithmetic of algebraic curves over finite fields
Yasutaka Ihara
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An efficient deep learning model for brain tumour detection with privacy preservation
Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman+8 more
wiley +1 more source
Algebraic method for multisensor data fusion. [PDF]
Chen X, Chen C, Lu X.
europepmc +1 more source