A multimodal user interface for an assistive robotic shopping cart
This paper presents the research and development of the prototype of the assistive mobile
information robot (AMIR). The main features of the presented prototype are voice and …
information robot (AMIR). The main features of the presented prototype are voice and …
[HTML][HTML] A new multi-objective optimization algorithm based on combined swarm intelligence and Monte Carlo simulation
K Zhang, Y Song - Information Sciences, 2022 - Elsevier
Currently, multi-objective optimization is an important problem in various fields. This paper
proposes an innovative multi-objective flower pollination algorithm combined with Monte …
proposes an innovative multi-objective flower pollination algorithm combined with Monte …
A Brief Overview of Randomized Algorithms
The paper primarily deals with a brief overview of Randomized Algorithms which are given
both theoretically, and practically with special emphasis on various disciplines in the field of …
both theoretically, and practically with special emphasis on various disciplines in the field of …
An algorithm to optimize explainability using feature ensembles
T Lazebnik, S Bunimovich-Mendrazitsky… - Applied Intelligence, 2024 - Springer
Feature Ensembles are a robust and effective method for finding the feature set that yields
the best predictive accuracy for learning agents. However, current feature ensemble …
the best predictive accuracy for learning agents. However, current feature ensemble …
An unbiased Monte Carlo method to solve linear Volterra equations of the second kind
In previous works (Dimov and Maire in Adv Comput Math 45 (3): 1499–1519, 2019; Dimov et
al. in Appl Math Model 39 (15): 4494–4510, https://doi. org/10.1016/j. apm. 2014.12. 018 …
al. in Appl Math Model 39 (15): 4494–4510, https://doi. org/10.1016/j. apm. 2014.12. 018 …
Ant inspired Monte Carlo algorithm for minimum feedback arc set
It is well known that Minimum Feedback Arc Set is in a general case NP-complete. There are
different kinds of exact, heuristic and approximation algorithms for solving this problem, but …
different kinds of exact, heuristic and approximation algorithms for solving this problem, but …
[图书][B] Feedback arc set: a history of the problem and algorithms
R Kudelić - 2022 - books.google.com
The main aim of the book is to give a review of all relevant information regarding a well-
known and important problem of Feedback Arc Set (FAS). This review naturally also …
known and important problem of Feedback Arc Set (FAS). This review naturally also …
A density-grid-based method for clustering k-dimensional data
ES Kashani, S Bagheri Shouraki, Y Norouzi… - Applied …, 2023 - Springer
In this paper, we propose a novel density-grid-based method for clustering k-dimensional
data. KIDS, an acronym for K-dimensional Ink Drop Spread, detects densely-connected …
data. KIDS, an acronym for K-dimensional Ink Drop Spread, detects densely-connected …
Asymmetric differential privacy
Differential privacy (DP) is attracting considerable research attention as a privacy definition
when publishing statistics of a dataset. This study focused on addressing the limitation that …
when publishing statistics of a dataset. This study focused on addressing the limitation that …
Dealing with intractability of information system subsystems development order via control flow graph reducibility
When Information System is developed a priority of subsystems development needs to be
set. This problem is a more general problem than a well known problem Feedback Arc Set …
set. This problem is a more general problem than a well known problem Feedback Arc Set …