Results 231 to 240 of about 178,517 (320)

Machine learning driven optimization of biomedical waste ash concrete for sustainable construction. [PDF]

PLoS One
George C, Chandra SS, Topalakatti PM, R V, Patil S, Alaneme GU.   +5 more
europepmc   +1 more source

PID‐Like Robust Control of Non‐Minimum Phase Robotic Manipulators

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper proposes an output‐feedback tracking controller for non‐minimum phase nonlinear systems with unknown uncertainties and external disturbances, where not all states are measurable, and the zero dynamics are unstable. The approach combines a backstepping‐based stabilizing state‐feedback law with a cascade extended high‐gain observer ...
Mohammad Al Saaideh, Almuatazbellah Boker, Mohammad Al Janaideh   +2 more
wiley   +1 more source

Mechanical performance of 3D-printed and milled resins for pediatric provisional restorations. [PDF]

Sci Rep
Song JS, Shin Y, Kim JH, Lee KE, Lee J, Min J, Kim H, Song JS.   +7 more
europepmc   +1 more source

Applying the Ensemble and Metaheuristic Algorithm to Predict the Flexural Characteristics of Ice. [PDF]

Materials (Basel)
Lu C, Han X.
europepmc   +1 more source

Research on bending tests and modified calculation of flexural strength for hybrid reinforced pipe piles. [PDF]

Sci Rep
Liu X, Men S, Wang W, He H, Fan Z.
europepmc   +1 more source

Surface treatments and coatings of hybrid glass ionomer cement to improve mechanical and physical properties. [PDF]

Sci Rep
Zambon G, Cagetti MG, Cirio S, De Bortoli G, Allam A, Ionescu AC.   +5 more
europepmc   +1 more source

Study on the crack resistance of USP warm-mix rubber asphalt and its mixtures. [PDF]

Sci Rep
Shi W, Kuang W, Ling T, Tang J, Diao H, Wang Z, Zeng W.   +6 more
europepmc   +1 more source

ANALYSIS OF MECHANICAL PROPERTIES AND FAILURE BEHAVIOUR OF RECLAIMED AND FRESH WOOD USING THREE POINT FLEXURE TEST

World Conference on Timber Engineering 2025
Hughes Mark, Moumakwa Nametso
openaire   +1 more source

Large Language Models and Machine Learning Framework for Predicting Dental Ceramics Performance. [PDF]

Int Dent J
Zhou H, Bai Y, Chen Y, Fan D, Wang P, Ji P, Chen T.   +6 more
europepmc   +1 more source