Results 121 to 130 of about 601,117 (314)
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
Background The tumor and node metastasis (TNM) staging and pathological grading systems are currently insufficient for accurately predicting recurrence‐free survival (RFS) in patients with pathological stage (p‐stage) I lung adenocarcinoma (LUAD ...
Hui Zeng +15 more
doaj +1 more source
Distributed Capacity Allocation of Shared Energy Storage Using Online Convex Optimization
This paper studies capacity allocation of an energy storage (ES) device which is shared by multiple homes in smart grid. Given a time-of-use (TOU) tariff, homes use the ES to shift loads from peak periods to off-peak periods, reducing electricity bills ...
Kan Xie +3 more
doaj +1 more source
Online Planning Algorithms for POMDPs
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP is often intractable except for small problems due to their complexity. Here, we focus on online approaches that alleviate the computational complexity by computing good local ...
Stéphane Ross +3 more
openaire +4 more sources
Asymmetry in Skipping Enhances Viability Against Control Input Noise
Quadruped animals use asymmetric galloping gaits at high speeds, yet the functional role of this asymmetry remains unclear. This study shows that left–right asymmetry in touchdown angles enhances robustness to control noise. Using a simple two‐legged locomotion model and viability theory, it demonstrates that asymmetric skipping substantially enlarges ...
Yuichi Ambe, Alvin So, Shinya Aoi
wiley +1 more source
A New String Matching Algorithm for Searching Biological Sequences
String matching algorithms play a key role in many computer science problems, and in the implementation of computer software. This problem has received, and continues to receive a great deal of attention due to various applications in text ...
Osborne, Hugh, Klaib, Ahmad
core
Aiming at the low accuracy of DV-Hop localization algorithm in three-dimensional localization of wireless sensor network, a DV-Hop localization algorithm optimized by adaptive cuckoo search algorithm was proposed in this paper.
Lieping Zhang +7 more
core +1 more source
A self-organizing algorithm for community structure analysis in complex networks [PDF]
Community structure analysis is a critical task for complex network analysis. It helps us to understand the properties of the system that a complex network represents, and has significance to a wide range of real applications.
Sugang Ma +11 more
core +1 more source
Statistical Inference for Online Algorithms
The construction of confidence intervals and hypothesis tests for functionals is a cornerstone of statistical inference. Traditionally, the most efficient procedures - such as the Wald interval or the Likelihood Ratio Test - require both a point estimator and a consistent estimate of its asymptotic variance.
Selina Carter, Arun K. Kuchibhotla
openaire +2 more sources
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source

