Results 21 to 30 of about 650,631 (219)

Input saturation in nonlinear multivariable processes resolved by nonlinear decoupling [PDF]

Modeling, Identification and Control, 1995
A new method is presented for the resolution of the problem of input saturation in nonlinear multivariable process control by means of elementary nonlinear decoupling (END).
Jens G. Balchen, Bjarne Sandrib
doaj   +1 more source

Multivariate Normalization with Symmetric Diffeomorphisms for Multivariate Studies [PDF]

, 2007
Current clinical and research neuroimaging protocols acquire images using multiple modalities, for instance, T1, T2, diffusion tensor and cerebral blood flow magnetic resonance images (MRI). These multivariate datasets provide unique and often complementary anatomical and physiological information about the subject of interest. We present a method that
Brian B. Avants, Jeffrey T. Duda, Hui Zhang 0005, James C. Gee   +3 more
openaire   +3 more sources

Multivariate comonotonicity

Journal of Multivariate Analysis, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Giovanni Puccetti 0001, Marco Scarsini
openaire   +2 more sources

Multivariable-adjusted hazard ratios and 95% confidence intervals for proximal femur fractures: NIPPON DATA90, 1,307 men.

, 2022
Multivariable-adjusted hazard ratios and 95% confidence intervals for proximal femur fractures: NIPPON DATA90, 1,307 men.
Yoshino Saito (11973207), Yoshikuni Kita (12035325), Katsuyuki Miura (286217), Naoyuki Takashima (173999), Akira Fujiyoshi (3161433), Akira Okayama (486990), Hirotsugu Ueshima (486991), Toshiyuki Iwahori (9178463), Hisatomi Arima (279257), Tomonori Okamura (486985), Aya Kadota (387084), Nagako Okuda (486988), Keiko Kondo (436331), Takayoshi Ohkubo (486989), Takehito Hayakawa (2615056), Naoko Miyagawa (2983755), Sayuki Torii (12035328)   +16 more
core   +1 more source

A Modified LQG Algorithm (MLQG) for Robust Control of Nonlinear Multivariable Systems [PDF]

Modeling, Identification and Control, 1993
The original LQG algorithm is often characterized for its lack of robustness. This is because in the design of the estimator (Kalman filter) the process disturbance is assumed to be white noise. If the estimator is to give good estimates, the Kalman gain
Jens G. Balchen
doaj   +1 more source

Multivariable-adjusted hazard ratios and 95% confidence intervals for proximal femur fractures: NIPPON DATA90, 1,827 women.

, 2022
Multivariable-adjusted hazard ratios and 95% confidence intervals for proximal femur fractures: NIPPON DATA90, 1,827 women.
Yoshino Saito (11973207), Yoshikuni Kita (12035325), Katsuyuki Miura (286217), Naoyuki Takashima (173999), Akira Fujiyoshi (3161433), Akira Okayama (486990), Hirotsugu Ueshima (486991), Toshiyuki Iwahori (9178463), Hisatomi Arima (279257), Tomonori Okamura (486985), Aya Kadota (387084), Nagako Okuda (486988), Keiko Kondo (436331), Takayoshi Ohkubo (486989), Takehito Hayakawa (2615056), Naoko Miyagawa (2983755), Sayuki Torii (12035328)   +16 more
core   +1 more source

Approximate multi-variable bi-Jensen-type mappings

Demonstratio Mathematica, 2023
In this study, we obtained the stability of the multi-variable bi-Jensen-type functional equation: n2fx1+⋯+xnn,y1+⋯+ynn=∑i=1n∑j=1nf(xi,yj).{n}^{2}f\left(\frac{{x}_{1}+\cdots +{x}_{n}}{n},\frac{{y}_{1}+\cdots +{y}_{n}}{n}\right)=\mathop{\sum }\limits_{i=1}
Bae Jae-Hyeong, Park Won-Gil
doaj   +1 more source

Multivariate Goppa Codes

IEEE Transactions on Information Theory, 2023
In this paper, we introduce multivariate Goppa codes, which contain as a special case the well-known, classical Goppa codes. We provide a parity check matrix for a multivariate Goppa code in terms of a tensor product of generalized Reed-Solomon codes. We prove that multivariate Goppa codes are subfield subcodes of augmented Cartesian codes.
Hiram H. López, Gretchen L. Matthews
openaire   +2 more sources

Blood Profiles in the Prediction of Radioiodine Refractory Papillary Thyroid Cancer: A Case–Control Study

Journal of Multidisciplinary Healthcare, 2023
Hanqing Liu,1,* Qian Chen,2,* Bohao Liu,3 Jiaxi Wang,1 Chuang Chen,1 Shengrong Sun1 1Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, People’s Republic of China; 2Department of Clinical Laboratory, Renmin ...
Liu H, Chen Q, Liu B, Wang J, Chen C, Sun S   +5 more
doaj  

Comparing and Optimizing Four Machine Learning Approaches to Radar-Based Quantitative Precipitation Estimation

Remote Sensing
To improve radar-based quantitative precipitation estimation (QPE) methods, this study investigated the relationship between radar reflectivity (Z) and hourly rainfall intensity (R) using data from 289 precipitation events in Shanghai between September ...
Miaomiao Liu, Juncheng Zuo, Jianguo Tan, Dongwei Liu   +3 more
doaj   +1 more source