Results 11 to 20 of about 249 (188)
Decoupling inequalities with exponential constants [PDF]
[EN] Decoupling inequalities disentangle complex dependence structures of random objects so that they can be analyzed by means of standard tools from the theory of independent random variables.
Daniel Carando +6 more
core +1 more source
Further Estimates for Certain Integrals of Six Bessel Functions [PDF]
In this thesis we study integrals involving a sixfold product of Bessel functions of the first kind and integer order. We establish good asymptotic estimates with precise error bounds for a certain one-parameter subclass of integrals. In the general case
Richter, Johanna
core
Maximal inequalities and some convergence theorems for fuzzy random variables [PDF]
summary:Some maximal inequalities for quadratic forms of independent and linearly negative quadrant dependent fuzzy random variables are established. Strong convergence of such quadratic forms are proved based on the martingale theory.
Bozorgnia, Abolghasem +3 more
core +1 more source
The principle of the largest terms and quantum large deviations [PDF]
summary:We give an approach to large deviation type asymptotic problems without evident probabilistic representation behind.
Gulinsky, Oleg V. +8 more
core +1 more source
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Maximal functions and subordination for operator groups. [PDF]
Let E be a UMD Banach space and L a positive and self-adjoint operator in L^2 of Laplace type such that the imaginary powers L^{-it} form a C_0 group of exponential growth on L^p(E).
Blower, Gordon
core
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin +11 more
wiley +1 more source
How Video‐Based Information Affects Farmers' Willingness to Pay for Drone Services
ABSTRACT Professional service for digital technology like agricultural drones lowers transaction costs and scope thresholds for smallholders. Meanwhile, perceptual adoption barriers remain underexplored. We conduct a two‐stage choice experiment with a randomized video‐based information treatment among 384 Chinese crop farmers to measure its effect on ...
Hua Zhang +4 more
wiley +1 more source
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source
This article introduces an input sparsity‐aware computing‐in‐memory macro featuring novel bidirectional conversion‐skippable analog‐to‐digital converters. By dynamically adjusting resolution based on element‐level sparsity, the architecture skips redundant most significant bit and least significant bit conversions.
Choongseok Song +2 more
wiley +1 more source

