New integral inequalities involving beta function via $P$-convexity [PDF]
Miskolc Mathematical Notes, 2014 openaire +2 more sources
Soft Robotic Snake with Tunable Undulatory Gait for Efficient Underwater Locomotion
Advanced Robotics Research, EarlyView.This study designs an underwater soft snake robot using 3D‐printed soft actuators, controlled by specific signals to generate sinusoidal undulation. Results show a positive correlation between speed and swing amplitude, with optimal performance at 2/3π phase offset, PLA tail, 1.2 voltage growth rate, and 6s undulation period achieving a maximum speed ...
Huichen Ma, Junjie Zhou, Raye Yeow
wiley +1 more source
Absolutely minimal semi-Lipschitz extensions. [PDF]
Calc Var Partial Differ EquDaniilidis A, Lê TM, Venegas FM.
europepmc +1 more source
Refinements of Hermite-Hadamard Inequalities for Functions When a Power of the Absolute Value of the Second Derivative IsP-Convex [PDF]
, 2012 A. Barani, S. Barani, Sever S Dragomir
openalex +1 more source
Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Toeplitz and Hankel determinants of logarithmic coefficients for <i>r</i>-valent <i>q</i>-starlike and <i>r</i>-valent <i>q</i>-convex functions. [PDF]
MethodsXSabir PO, Ali AA.
europepmc +1 more source
COEFFICIENT ESTIMATE OF CERTAIN SUBCLASSES OF CONVEX p-VALENT FUNCTIONS WITH A BOUNDED POSITIVE REAL PART [PDF]
, 2014 O. S. Babu +2 more
openalex +1 more source
Some Ostrowski type inequalities for p-convex functions via generalized fractional integrals [PDF]
Journal of Mathematical Inequalities, 2019 Jessada Tariboon +2 more
openaire +1 more source
Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth
Advanced Theory and Simulations, EarlyView.A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic +3 more
wiley +1 more source
Novel extensions of k-harmonically convex functions and their applications in information science. [PDF]
PLoS OneFahad A, Furuichi S, Ali Z, Wang Y.
europepmc +1 more source