Motion Vision System of Sports Injury Prediction Based on Adaptive Monte Carlo Algorithm and Real-Time Positioning

2021 ◽  
pp. 104083
Author(s):  
Jing Zhao ◽  
Juanjuan Zhang
Keyword(s):  
Monte Carlo ◽  
Real Time ◽  
Vision System ◽  
Sports Injury ◽  
Monte Carlo Algorithm ◽  
Motion Vision ◽  
Adaptive Monte Carlo ◽  
Injury Prediction

scholarly journals Adaptive Monte Carlo algorithm to global radio resources optimization in H-CRAN

2017 ◽  
Author(s):  
Matias A. K. Schimuneck ◽  
Maicon Kist ◽  
Juergen Rochol ◽  
Ana Carolina Ribeiro-Teixeira ◽  
Cristiano Bonato Both
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Algorithm ◽  
Adaptive Monte Carlo ◽  
Radio Resources

Application of an adaptive Monte Carlo algorithm to mixed logit estimation

2006 ◽  
Vol 40 (7) ◽  
pp. 577-593 ◽  
Author(s):  
Fabian Bastin ◽  
Cinzia Cirillo ◽  
Philippe L. Toint
Keyword(s):  
Monte Carlo ◽  
Mixed Logit ◽  
Monte Carlo Algorithm ◽  
Adaptive Monte Carlo ◽  
Logit Estimation

Adaptive Monte Carlo algorithm for Wigner kernel evaluation

2019 ◽  
Vol 32 (14) ◽  
pp. 9953-9964
Author(s):  
Venelin Todorov ◽  
Ivan Dimov ◽  
Rayna Georgieva ◽  
Stoyan Dimitrov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Algorithm ◽  
Adaptive Monte Carlo

scholarly journals Wlamc Scheme To Monomodal Brain Icon Registering

2019 ◽  
Vol 8 (11) ◽  
pp. 3708-3715
Keyword(s):  
Monte Carlo ◽  
Real Time ◽  
Brain Images ◽  
Adaptive Monte Carlo ◽  
Advanced Method ◽  
The Real ◽  
Comparison Of Results ◽  
Testing Approach

An advanced method to get the better of the challenges of medical icon registering is anticipated, using Wang Landau Adaptive Monte Carlo (WLAMC) approach. The WangLandau (WL) technique is a distinct Adaptive Monte Carlo (AMC) procedure that has engendered a lot of curiosity in the medical icon registering (IR) technique owing to some remarkable simulation implementations. The multiresolution centered process for registering multimodal imageries by using AMC structure is the efficient existing approach for icon registering anywhere arbitrary finding aspirants are caused as of an all dimensional outcome spread out of probable geometric conversions on each of the repetition by using a testing approach. The remedy applicants generated are appraised instituted upon the Pearson category-Seven inaccuracy amongst the stage instants of the pictures in deciding the key contender by the deepest faulty left over. Even the AMC approach is efficient, it has some drawbacks and it can be eliminated with this proposed WLAMC approach. The experiments are performed on the real time medical imageries and the comparison of results illustrates that the approach put forward performs considerably well for monomodal brain images than the previous icon registering techniques.

A phase I/II study on stereotactic body radiotherapy with real-time tumor tracking using CyberKnife based on the Monte Carlo algorithm for lung tumors

2017 ◽  
Vol 22 (4) ◽  
pp. 706-714 ◽  
Author(s):  
Hiromitsu Iwata ◽  
Satoshi Ishikura ◽  
Taro Murai ◽  
Michio Iwabuchi ◽  
Mitsuhiro Inoue ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Phase I ◽  
Real Time ◽  
Stereotactic Body Radiotherapy ◽  
Lung Tumors ◽  
Monte Carlo Algorithm ◽  
Tumor Tracking

An adaptive Monte Carlo algorithm for computing mixed logit estimators

2006 ◽  
Vol 3 (1) ◽  
pp. 55-79 ◽  
Author(s):  
Fabian Bastin ◽  
Cinzia Cirillo ◽  
Philippe L. Toint
Keyword(s):  
Monte Carlo ◽  
Mixed Logit ◽  
Monte Carlo Algorithm ◽  
Adaptive Monte Carlo
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