Multi-agent System for Occupational Therapy
暂无分享,去创建一个
Javier Bajo | Sigeru Omatu | Amparo Jiménez | Amparo Casado | J. Bajo | S. Omatu | Amparo Jiménez | Amparo Casado
[1] Doug Schuler,et al. Social computing , 1994, CACM.
[2] Javier Bajo,et al. Ovamah: Multiagent-based adaptive virtual organizations , 2009, 2009 12th International Conference on Information Fusion.
[3] Juan M. Corchado,et al. Agents and ambient intelligence: case studies , 2010, J. Ambient Intell. Humaniz. Comput..
[4] Belén Pérez Lancho,et al. Cloud-IO: Cloud Computing Platform for the Fast Deployment of Services over Wireless Sensor Networks , 2012, KMO.
[5] Javier Bajo,et al. An execution time neural-CBR guidance assistant , 2009, Neurocomputing.
[6] Javier Bajo,et al. Hybrid Neural Intelligent System to Predict Business Failure in Small-to-Medium-Size Enterprises , 2011, Int. J. Neural Syst..
[7] Angélica González,et al. Multi-agent system to monitor oceanic environments , 2010, Integr. Comput. Aided Eng..
[8] J. Creek. Occupational Therapy and Mental Health , 2001 .
[9] Javier Bajo,et al. Model of experts for decision support in the diagnosis of leukemia patients , 2009, Artif. Intell. Medicine.
[10] Jorge J. Gómez-Sanz,et al. Modelling and simulation of social systems with INGENIAS , 2008, Int. J. Agent Oriented Softw. Eng..
[11] Javier Bajo,et al. Social-based planning model for multiagent systems , 2011, Expert Syst. Appl..
[12] Juan M. Corchado,et al. Introducing a Distributed Architecture for Heterogeneous Wireless Sensor Networks , 2009, IWANN.
[13] R. Hagedorn. Occupational therapy : perspectives and processes , 1995 .
[14] Juan M. Corchado,et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II , 2009, IWANN.
[15] Nayat Sanchez-Pi,et al. A knowledge-based system approach for a context-aware system , 2012 .
[16] Javier Bajo,et al. Case-based reasoning as a decision support system for cancer diagnosis: A case study , 2009, Int. J. Hybrid Intell. Syst..
[17] David Griol,et al. Combining heterogeneous inputs for the development of adaptive and multimodal interaction systems , 2013 .
[18] Juan M. Corchado,et al. Hybrid artificial intelligence methods in oceanographic forecast models , 2002, IEEE Trans. Syst. Man Cybern. Part C.
[19] Juan M. Corchado,et al. CBR based system for forecasting red tides , 2003, Knowl. Based Syst..
[20] Javier Bajo,et al. Applying wearable solutions in dependent environments , 2010, IEEE Transactions on Information Technology in Biomedicine.
[21] Javier Bajo,et al. FUSION@, A SOA-Based Multi-agent Architecture , 2008, DCAI.
[22] Javier Bajo,et al. S-MAS: An adaptive hierarchical distributed multi-agent architecture for blocking malicious SOAP messages within Web Services environments , 2011 .
[23] Javier Bajo,et al. PANGEA - Platform for Automatic coNstruction of orGanizations of intElligent Agents , 2012, DCAI.
[24] Javier Bajo,et al. Evaluation and Monitoring of the Air-Sea Interaction Using a CBR-Agents Approach , 2005, ICCBR.
[25] Luc Lamontagne,et al. Case-Based Reasoning Research and Development , 1997, Lecture Notes in Computer Science.
[26] Davide Carneiro,et al. Multimodal behavioral analysis for non-invasive stress detection , 2012, Expert Syst. Appl..
[27] K. Bannigan,et al. Creek's occupational therapy and mental health , 2014 .