Results 221 to 230 of about 109,850 (269)

Interpreting the kinematic theory of rapid human movement as an optimal control theory. [PDF]

Front Hum Neurosci
Assila N, Braithwaite B, Begon M, Plamondon R.   +3 more
europepmc   +1 more source

Multi-Criteria Optimization of Microwave-Cured Pineapple Leaf Fiber/LDPE Biocomposites for Enhanced Mechanical Performance. [PDF]

ACS Omega
Saha M, Singh H, Singh MK, Yorseng K, Mavinkere Rangappa S, Siengchin S.   +5 more
europepmc   +1 more source

Animal models for diabetic kidney disease: perspectives and prospects. [PDF]

Front Vet Sci
Zeng M, Gong Q, Shen H, Chen L, Zhang W.
europepmc   +1 more source

From Laboratory to Clinic: Translational Medicine Paradigm of Polymyxin B Nanopreparations for Overcoming Drug-Resistant Bacterial Infections. [PDF]

Int J Nanomedicine
Li N, Cao Y, Li M, Zheng D, Zhong W, Yang C.   +5 more
europepmc   +1 more source

Optimization of stiffened composite plate using balancing composite motion optimization

Journal of Industrial and Management Optimization
Son Nguyen-Hoai, Trieu Vo L., Thuan Lam-Phat   +2 more
openaire   +1 more source

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Optimizing Photo Composition

Computer Graphics Forum, 2010
AbstractAesthetic images evoke an emotional response that transcends mere visual appreciation. In this work we develop a novel computational means for evaluating the composition aesthetics of a given image based on measuring several well‐grounded composition guidelines.
Ligang Liu 0001, Renjie Chen 0001, Lior Wolf, Daniel Cohen-Or   +3 more
openaire   +1 more source

The Composition of Optimally Wise Crowds

Decision Analysis, 2015
We investigate optimal group member configurations for producing a maximally accurate group forecast. Our approach accounts for group members that may be biased in their forecasts and/or have errors that correlate with the criterion values being forecast.
Clintin P. Davis-Stober, David V. Budescu, Stephen B. Broomell, Jason Dana   +3 more
openaire   +2 more sources

Balancing composite motion optimization

Information Sciences, 2020
Abstract Meta-heuristic algorithms play an important role in the optimization field thanks to their robustness and programming simplicity. Many meta-heuristic methods have been devised in recent years. Inspired by nature, they usually simulate natural or human-specific phenomena in a better way.
Thang Le-Duc, Quoc-Hung Nguyen, Hung Nguyen-Xuan 0001   +2 more
openaire   +1 more source