|
|
|
|
|
Wei Yue, Wenbin Tang and Liyuan Wang
In order to enhance the anti-submarine capability of multi-unmanned aerial vehicles (multi-UAVs) in the unknown sea environment and improve the search efficiency, in this paper, we propose a rule-inspired-multi-ant colony (RI-MAC)-based UAV cooperative s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hadi Hajieghrary, Daniel Mox and M. Ani Hsieh
We present information theoretic search strategies for single and multi-robot teams to localize the source of biochemical contaminants in turbulent flows. The robots synthesize the information provided by sporadic and intermittent sensor readings to opti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hadi Hajieghrary, Daniel Mox and M. Ani Hsieh
We present information theoretic search strategies for single and multi-robot teams to localize the source of biochemical contaminants in turbulent flows. The robots synthesize the information provided by sporadic and intermittent sensor readings to opti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinyu Hu, Yu Shi, Guiqiang Bai and Yanli Chen
When multiple AUVs are combined in formation, they can improve operational efficiency while maintaining mutual communication. This article focuses on the obstacle avoidance problems en-countered by AUV formations during collaborative search and target ca...
ver más
|
|
|
|
|
|
|
|
|
|
|
Francisco J. Soltero, Pablo Fernández-Blanco and J. Ignacio Hidalgo
Technical indicators use graphic representations of datasets by applying various mathematical formulas to financial time series of prices. These formulas comprise a set of rules and parameters whose values are not necessarily known and depend on many fac...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yao-Hua Ho and Yu-Jung Tsai
Climate-related natural disasters have affected the lives of thousands of people. Global warming creates warmer and drier conditions which increase the risk of wildfires. In large-scale disasters such as wildfires, search and rescue (SAR) operations beco...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoping Zhang, Yuanpeng Zheng, Li Wang, Arsen Abdulali and Fumiya Iida
Multi-agent collaborative target search is one of the main challenges in the multi-agent field, and deep reinforcement learning (DRL) is a good way to learn such a task. However, DRL always faces the problem of sparse reward, which to some extent reduces...
ver más
|
|
|
|
|
|
|
|
|
|
|
Linda Jessica De Montreuil Carmona,Iara Regina dos Santos Parisotto
Pág. 50 - 68
With increasingly fiercer competition, many industrial firms with similar characteristics are concerned with obtaining competitive advantages that allow them to differentiate themselves for survival, efficiency and profitability. Based on the Dynamic Cap...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xin Liao and Khoi D. Hoang
Distributed Constraint Optimization Problems (DCOPs) are an efficient framework widely used in multi-agent collaborative modeling. The traditional DCOP framework assumes that variables are discrete and constraint utilities are represented in tabular form...
ver más
|
|
|
|
|
|
|
|
|
|
|
Federica Monaco, Sergio Coluccia, Arturo Cuomo, Davide Nocerino, Daniela Schiavo, Gilda Pasta, Francesca Bifulco, Pasquale Buonanno, Vittorio Riccio, Marianna Leonardi, Francesco Perri, Alessandro Ottaiano, Francesco Sabbatino, Alessandro Vittori and Marco Cascella
Background: Percutaneous electrical nerve stimulation (PENS) is a minimally invasive peripheral neuromodulation approach implemented against chronic neuropathic and mixed pain. This bibliometric study aims to quantitatively evaluate the output of PENS fo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Minglei Xiong and Guangming Xie
Although underwater robot swarms have demonstrated increasing application prospects, organizing and optimizing the swarm?s scheduling for uncertain tasks are challenging. Thus, we designed robot games and task allocation experiments, where the robots hav...
ver más
|
|
|
|
|
|
|
|
|
|
|
Christos Troussas, Akrivi Krouska, Antonios Koliarakis and Cleo Sgouropoulou
Recommender systems are widely used in various fields, such as e-commerce, entertainment, and education, to provide personalized recommendations to users based on their preferences and/or behavior. ?his paper presents a novel approach to providing custom...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yunhong Yang, Xingzhong Xiong and Yuehao Yan
With the continuous development of UAV technology and swarm intelligence technology, the UAV formation cooperative mission has attracted wide attention because of its remarkable function and flexibility to complete complex and changeable tasks, such as s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiyu Yao and Longhui Gang
Ship path planning is one of the key technologies for ship automation. Establishing a cooperative collision avoidance (CA) path for multi-ship encounters is of great value to maritime intelligent transportation. This study aims to solve the problem of mu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Juan D. Aguilar-Peña, Catalina Rus-Casas, Dolores Eliche-Quesada, Francisco José Muñoz-Rodríguez and M. Dolores La Rubia
Over the last decade, e-learning and the use of digital tools have received a great boost in higher education. This paper presents a content curation methodology to assess the acquisition of specific content and soft skills during the attainment of a Deg...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nikos Dimitropoulos, Theodoros Togias, Natalia Zacharaki, George Michalos and Sotiris Makris
Seamless human?robot collaboration requires the equipping of robots with cognitive capabilities that enable their awareness of the environment, as well as the actions that take place inside the assembly cell. This paper proposes an AI-based system compri...
ver más
|
|
|
|
|
|
|
|
|
|
|
Areej Alsini, Du Q. Huynh and Amitava Datta
Hashtag recommendation suggests hashtags to users while they write microblogs in social media platforms. Although researchers have investigated various methods and factors that affect the performance of hashtag recommendations in Twitter and Sina Weibo, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Willa Ariela Syafruddin, Rio Mukhtarom Paweroi and Mario Köppen
Since nature is an excellent source of inspiration for optimization methods, many optimization algorithms have been proposed, are inspired by nature, and are modified to solve various optimization problems. This paper uses metaheuristics in a new field i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Max Cappellari, John Belstner, Bryan Rodriguez and Jeff Sedayao
The XPRIZE Foundation designs and operates multi-million-dollar, global competitions to incentivize the development of technological breakthroughs that accelerate humanity toward a better future. To combat the COVID-19 pandemic, the foundation coordinate...
ver más
|
|
|
|
|
|
|
|
|
|
|
Luke L Wang,Weranja K.B. Ranasinghe
Our objective was to review the current literature on patient participation and decision-making in the treatment selection process for localised prostate cancer, and to evaluate capacity for improvement. Methods: 42 articles from our literature search we...
ver más
|
|
|
|
|
|