Artificial intelligence, Machine learning, Multi-agent system, Case-based reasoning and Data mining are his primary areas of study. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Filter and Adaptation. His biological study deals with issues like Process, which deal with fields such as Field.
The study incorporates disciplines such as Intelligent agent, Wireless sensor network, Ambient intelligence, Blockchain and Service-oriented architecture in addition to Multi-agent system. His Case-based reasoning research includes themes of Electricity generation, Thermal, HVAC and Process engineering. The concepts of his Data mining study are interwoven with issues in Gene chip analysis, Feature selection and Hybrid intelligent system.
The scientist’s investigation covers issues in Artificial intelligence, Multi-agent system, Case-based reasoning, Distributed computing and Machine learning. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Data mining and Process. His biological study spans a wide range of topics, including Intelligent agent, Ambient intelligence, Human–computer interaction and Web service.
Distributed computing is often connected to Wireless sensor network in his work.
Juan M. Corchado mainly focuses on Multi-agent system, Artificial intelligence, Process, Electricity and Distributed computing. Juan M. Corchado has researched Multi-agent system in several fields, including Risk analysis, Blockchain, Smart contract and Smart grid. He has included themes like Field and Machine learning in his Artificial intelligence study.
Many of his studies on Process involve topics that are commonly interrelated, such as Ambient intelligence. Juan M. Corchado combines subjects such as Distribution grid, Environmental economics, Electric power system and Air conditioning with his study of Electricity. Distributed computing is frequently linked to Scalability in his study.
His main research concerns Multi-agent system, Blockchain, Artificial intelligence, Machine learning and Distributed computing. His research in Multi-agent system focuses on subjects like Smart contract, which are connected to Intermediary, Supply chain and Risk analysis. The Artificial intelligence study combines topics in areas such as Game theory and Metric.
He interconnects Control and Data quality in the investigation of issues within Machine learning. His Distributed computing research is multidisciplinary, incorporating elements of Scalability and Electricity. In his study, Energy management and Case-based reasoning is strongly linked to HVAC, which falls under the umbrella field of Wireless sensor network.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Intelligent environment for monitoring Alzheimer patients, agent technology for health care
Juan M. Corchado;Javier Bajo;Yanira de Paz;Dante I. Tapia.
decision support systems (2008)
Constructing Deliberative Agents with Case-Based Reasoning Technology
Juan M. Corchado;Rosalía Laza.
International Journal of Intelligent Systems (2003)
Development of CBR-BDI Agents: A Tourist Guide Application
Juan M. Corchado;Juan Pavón;Emilio Corchado;Luis Fernando Castillo.
Lecture Notes in Computer Science (2004)
Using Heterogeneous Wireless Sensor Networks in a Telemonitoring System for Healthcare
J.M. Corchado;J. Bajo;D.I. Tapia;A. Abraham.
international conference of the ieee engineering in medicine and biology society (2010)
A hybrid case-based model for forecasting
Juan M. Corchado;Brian Lees.
Applied Artificial Intelligence (2001)
How blockchain improves the supply chain: case study alimentary supply chain
Roberto Casado-Vara;Javier Prieto;Fernando De la Prieta;Juan M. Corchado;Juan M. Corchado;Juan M. Corchado.
Procedia Computer Science (2018)
FSfRT: Forecasting System for Red Tides
Florentino Fdez-Riverola;Juan M. Corchado.
Applied Intelligence (2004)
Unsupervised neural method for temperature forecasting
Juan M. Corchado;Colin Fyfe.
Artificial Intelligence in Engineering (1999)
Hybrid artificial intelligence methods in oceanographic forecast models
J.M. Corchado;J. Aiken.
systems man and cybernetics (2002)
Review: Fight sample degeneracy and impoverishment in particle filters: A review of intelligent approaches
Tiancheng Li;Shudong Sun;Tariq Pervez Sattar;Juan Manuel Corchado.
Expert Systems With Applications (2014)
Profile was last updated on December 6th, 2021.
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