Exploració per tema "Artificial intelligence"
Ara es mostren els items 41-60 de 1002
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A Question-driven Information system adaptable via Information Extraction techniques
(2008-06-13)
Report de recerca
Accés obertThis paper presents a system is composed by two main parts: The Information Extraction Process, which crawls the web and extracts all relevant knowledge that is then stored in the database, and the Question Processor which ... -
A reinforcement learning algorithm for optimalVirtual network functions allocations among 5G edge computing centers
(Universitat Politècnica de Catalunya, 2021-07-14)
Projecte Final de Màster Oficial
Accés obert
Realitzat a/amb: Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)The fifth generation (5G) mobile networks are enabling operators and stakeholders to enhance and innovate new services in response to an increasing market demand. 5G architecture provides scalability and flexibility for ... -
A reliable system for JXTA-Overlay P2P platform considering number of authentic files, security and QoS parameters
(2015)
Text en actes de congrés
Accés obertThe reliability of peers is very important for safe communication in Peer-to-Peer (P2P) systems. The reliability of a peer can be evaluated based on the reputation and interactions with other peers to provide different ... -
A requirements engineering perspective to AI-based systems development: a vision paper
(Springer, 2023)
Text en actes de congrés
Accés obertContext and motivation: AI-based systems (i.e., systems integrating some AI model or component) are becoming pervasive in society. A number of characteristics of AI-based systems challenge classical requirements engineering ... -
A simulation system for intermodal assignment of public transport and ride pooling services
(2022)
Text en actes de congrés
Accés restringit per política de l'editorial -
A survey on pre-processing techniques: relevant issues in the context of environmental data mining
(IOS Press, 2016-12)
Article
Accés obertOne of the important issues related with all types of data analysis, either statistical data analysis, machine learning, data mining, data science or whatever form of data-driven modeling, is data quality. The more complex ... -
A unified formal framework for factorial and probabilistic topic modelling
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-10-21)
Article
Accés obertTopic modelling has become a highly popular technique for extracting knowledge from texts. It encompasses various method families, including Factorial methods, Probabilistic methods, and Natural Language Processing methods. ... -
A very brief introduction to Deep Reinforcement Learning
(Universitat Politècnica de Catalunya, 2017-01-15)
Treball Final de Grau
Accés obertDeep Learning permite que las computadoras resuelvan problemas sin resolver. Reinforcement Learning es un marco general para modelar el mundo real desde una perspectiva agente-ambiente. Deep Reinforcement Learning parece ... -
A week-long study on Robot-Visitors Spatial Relationships during Guidance in a Sciences Museum
(ACM, 2014)
Comunicació de congrés
Accés obertIn order to observe spatial relationships in social human-robot interactions, a eld trial was carried out within the CosmoCaixa Science Museum in Barcelona. The follow me episodes studied showed that the space con gurations ... -
A workflow for the analysis and modelling of high-dimensional omics data
(Universitat Politècnica de Catalunya, 2019-09)
Treball Final de Grau
Accés obertEn los últimos años, los avances en el campo de la computación han convertido al Machine Learning en un método viable para obtener información muy precisa y hacer grandes predicciones relacionadas con todo el campo de la ... -
A.I. (Inteligencia Artificial)
(2001-11)
Article
Accés obert -
Abast de la figura del Team Leader en l'entorn de la metodología SCRUM
(Universitat Politècnica de Catalunya, 2023-02-07)
Treball Final de Grau
Accés obert
Realitzat a/amb: GeopromThe Scrum framework is applied in technological areas that must have short-term results and are carried out in complex environments. It is a work tool to optimize teamwork and obtain results that bring value to the client. ... -
About offline evaluation of ML/DL models in Amazon search engine
(Universitat Politècnica de Catalunya, 2022-06-28)
Treball Final de Grau
Accés restringit per acord de confidencialitat -
Abstraction capabilities of deep neural networks while learning chess
(Universitat Politècnica de Catalunya / Universitat de Barcelona, 2018-10)
Projecte Final de Màster Oficial
Accés obertEn aquest treball es fa un estudi detallat de les Xarxes Neuronals, especialment de les xarxes neuronals profundes. En la part pràctica, s'utilitzen xarxes neuronals convolucionals per crear programes capaços d'apendre a ... -
Accelerating super-resolution for 4K upscaling
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Text en actes de congrés
Accés restringit per política de l'editorialThis paper presents a fast Super-Resolution (SR) algorithm based on a selective patch processing. Motivated by the observation that some regions of images are smooth and unfocused and can be properly upscaled with fast ... -
Accuracy of a Large Language Model as a new tool for optometry education
(2023-12-03)
Article
Accés restringit per política de l'editorialClinical relevance: The unsupervised introduction of certain Artificial Intelligence tools in optometry education may challenge the proper acquisition of accurate clinical knowledge and skills proficiency. Background: Large ... -
Action research workshop for transdisciplinary sustainability science
(2017-07)
Article
Accés obertThe Research Institute for Sustainability Science and Technology under the Master degree in Sustainability Science and Technology organises the course Action Research Workshop on Science and Technology for Sustainability ... -
Action rule induction from cause-effect pairs learned through robot-teacher interaction
(2008)
Text en actes de congrés
Accés obertIn this work we propose a decision-making system that efficiently learns behaviors in the form of rules using natural human instructions about cause-effect relations in currently observed situations, avoiding complicated ... -
Active learning in Crowdsourcing classification problems using Sampling Theory for graph signals
(Universitat Politècnica de Catalunya, 2017-05-15)
Treball Final de Grau
Accés obert
Realitzat a/amb: University of Southern California -
Actuator fault estimation using optimization-based learning techniques for linear parameter varying systems with unreliable scheduling parameters
(Elsevier, 2024-01-01)
Article
Accés restringit per política de l'editorialA novel fault diagnosis procedure is proposed in this paper to estimate faults using a linear parameter varying (LPV) model whose scheduling parameters depend on the fault. A wrong determination of the operating conditions ...