Results 1 to 10 of about 2,104 (93)

A New Optimal Diagnosis System for Coronavirus (COVID‐19) Diagnosis Based on Archimedes Optimization Algorithm on Chest X‐Ray Images [PDF]

Computational Intelligence and Neuroscience, Volume 2021, Issue 1, 2021., 2021
The new coronavirus, COVID‐19, has affected people all over the world. Coronaviruses are a large group of viruses that can infect animals and humans and cause respiratory distress; these discomforts may be as mild as a cold or as severe as pneumonia. Correct detection of this disease can help to avoid its spreading increasingly.
Liping Chen, Tahereh Rezaei, Navid Razmjooy   +2 more
wiley   +2 more sources

Adaptive Fractional‐Order Super‐Twisting Sliding Mode Controller for Lower Limb Rehabilitation Exoskeleton in Constraint Circumstances Based on the Grey Wolf Optimization Algorithm

Mathematical Problems in Engineering, Volume 2023, Issue 1, 2023., 2023
In this work, a lower limb exoskeleton with uncertainties and external disturbances under constrained motion has been controlled by developing a model‐free adaptive optimal fractional‐ordersuper‐twisting sliding mode (AOFSTSM) controller. Contrary to popular existing modeling methods, the modeling of the lower limb exoskeleton has been accomplished in ...
Mohammad A. Faraj, Boutheina Maalej, Nabil Derbel, Omar Naifar, Francisco Rossomando   +4 more
wiley   +1 more source

Model‐based online efficiency control of induction motor drives based on nonlinear technique

IET Electric Power Applications, Volume 16, Issue 10, Page 1223-1231, October 2022., 2022
Abstract To accomplish benefits such as high accuracy and fast response, the model‐based loss minimisation algorithms (LMAs) are introduced in the literature, as one of the main available techniques for minimising power losses in electrical motors. They are appropriate for dynamic applications, which necessitate very fast update of the control variable.
Hamidreza Mosaddegh Hesar, Mojtaba Ayaz Khoshhava, Hossein Abootorabi Zarchi   +2 more
wiley   +1 more source

Dynamic Modelling and Calculation of Crank Slider Mechanism of Multiparameter Friction Model in Wireless Communication

Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
In this research work, an advanced wireless communication‐based crank slider mechanism for multiparameter friction techniques is analyzed. The earlier models are unable to find exact friction; therefore, a correct crank function cannot be identified. The dynamic crank sliding mechanism is required for advanced mechanical applications.
Qian Jing, Deepak Kumar Jain
wiley   +1 more source

A Theory Approach towards Tradable Rail Freight Option

Discrete Dynamics in Nature and Society, Volume 2021, Issue 1, 2021., 2021
For railway freight pricing, this paper proposes a new tradable rail freight option (RFO). A multiphase trigeminal tree pricing model is established to analyze the optimal pricing decision of RFO. The main parameters of the model are identified theoretically through nonparametric Ito stochastic approach.
Jingwei Guo, Lutian Li, Ji Zhang, Qi Shen, Zhongqi Xie, Qinglin Li, Luca Pancioni   +6 more
wiley   +1 more source

Randomisation and Derandomisation in Descriptive Complexity Theory [PDF]

, 2010
We study probabilistic complexity classes and questions of derandomisation from a logical point of view. For each logic L we introduce a new logic BPL, bounded error probabilistic L, which is defined from L in a similar way as the complexity class BPP ...
A. Dawar, C. Lautemann, D. Zuckerman, D.A.M. Barrington, E. Grädel, F. Bacchus, H. Keisler, H.D. Ebbinghaus, J. Lynch, J.Y. Cai, L. Hella, L. Libkin, L. Stockmeyer, M. Otto, N. Dalvi, N. Immerman, N. Immerman, N. Nisan, N. Nisan, N. Rescher, P.G. Kolaitis, R. Fagin, R. Fagin, R. Motwani, S. Toda, W. Feller, Y. Glebskiĭ, Y. Gurevich   +27 more
core   +2 more sources

Modeling Previous Trial Effect in Human Manipulation through Iterative Learning Control

Advanced Intelligent Systems, Volume 2, Issue 9, September 2020., 2020
Three mathematical models are proposed to predict learning‐by‐repetition human behavior in a balance task with an object of unexpected mass distribution. Models combine reactive terms, learned anticipatory action, featuring intratrial and intertrial memory, and the effect of sensory receptors.
Lorenzo Cenceschi, Cosimo Della Santina, Giuseppe Averta, Manolo Garabini, Qiushi Fu, Marco Santello, Matteo Bianchi, Antonio Bicchi   +7 more
wiley   +1 more source

Stackelberg Game Model of Railway Freight Pricing Based on Option Theory

Discrete Dynamics in Nature and Society, Volume 2020, Issue 1, 2020., 2020
In recent years, although rail transport has contributed significantly to the productivity of the Chinese economy, it has also been faced with the fierce competition and challenge from other modes of transportation, and therefore, freight‐pricing issue has received more attention by researchers.
Jingwei Guo, Zhongqi Xie, Qinglin Li, Emilio Jiménez Macías   +3 more
wiley   +1 more source

An Energy-Aware Protocol for Self-Organizing Heterogeneous LTE Systems [PDF]

, 2013
This paper studies the problem of self-organizing heterogeneous LTE systems. We propose a model that jointly considers several important characteristics of heterogeneous LTE system, including the usage of orthogonal frequency division multiple access ...
Chen, Chung Shue, Hou, I-Hong
core   +4 more sources

Generalized Clifford Algebras as Algebras in Suitable Symmetric Linear Gr-Categories [PDF]

, 2016
By viewing Clifford algebras as algebras in some suitable symmetric Gr-categories, Albuquerque and Majid were able to give a new derivation of some well known results about Clifford algebras and to generalize them.
Cheng, Tao, Huang, Hua-Lin, Yang, Yuping
core   +3 more sources