|
|
|
|
|
Anastasios Alexiadis, Ioannis Refanidis, Ilias Sakellariou
Pág. 53 - 66
Automated meeting scheduling is the task of reaching an agreement on a time slot to schedule a new meeting, taking into account the participants? preferences over various aspects of the problem. Such a negotiation is commonly performed in a non-automated...
ver más
|
|
|
|
|
|
|
|
|
|
|
Collins N Udanor,Ogbonna U. Oparaku
Pág. pp. 10 - 18
Mobile devices have emerged as our daily companion whose applicability evolves as the day unfolds. One of such applications is in the area of learning, called mobile learning (M-learning). However, as with all new technologies, M-learning is faced with t...
ver más
|
|
|
|
|
|
|
|
|
|
|
D. Helmi, M. Radouani, B. El fahime, S.A Kamel kaya
Pág. 1593 - 1599
Manufacturers recognize that production systems have no value if the production equipment is unreliable. Nowadaysindustrial maintenance, strategic business function is evolving. It is inter -related to the development of knowledge and technology, the dev...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hend Al Tair,Mohamed Jamal Zemerly,Mahmoud AL-Qutayri,Marcello Leida
Pág. pp. 4 - 12
Recommender systems currently used in many applications, including tourism, tend to simply be reactive to user request. The recommender system proposed in this paper uses multi-agents and multi-dimensional contextual information to achieve proactive beha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gustavo ISAZA,Maria H. MEJÍA,Luis Fernando CASTILLO,Adriana MORALES,Nestor DUQUE
Pág. 49 - 54
|
|
|
|
|
|
|
|
|
|
|
Boris Almonacid, Fabián Aspée and Francisco Yimes
This research focused on the resolution of a dynamic prey?predator spatial model. This model has six life cycles and simulates a theoretical population of prey and predators. Cellular automata represent a set of prey and predators. The cellular automata ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yubing Mao, Farong Gao, Qizhong Zhang and Zhangyi Yang
This study aims to solve the problem of sparse reward and local convergence when using a reinforcement learning algorithm as the controller of an AUV. Based on the generative adversarial imitation (GAIL) algorithm combined with a multi-agent, a multi-age...
ver más
|
|
|
|
|
|