Search Results - "Valdés, Julio J."
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Machine Learning Based Electronic Structure Predictors in Single-Atom Alloys: A Model Study of CO Kink-Site Adsorption across Transition Metal Substrates
Published in Journal of physical chemistry. C (29-06-2023)“…This work reports on a comprehensive analysis of the predictive capacity and underlying physicochemical trends provided by d-band based electronic structure…”
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Novel machine learning insights into the QM7b and QM9 quantum mechanics datasets
Published in Journal of computational chemistry (05-06-2024)“…This paper (i) explores the internal structure of two quantum mechanics datasets (QM7b, QM9), composed of several thousands of organic molecules and described…”
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Potential energy savings from high-resolution sensor controls for LED lighting
Published in Energy and buildings (01-01-2018)“…•Potential Energy Savings from High-Resolution Sensor Controls for LED Lighting.•Modelling and demonstrations were used in a full scale office test bed to…”
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Evaluation and Selection of Video Stabilization Techniques for UAV-Based Active Infrared Thermography Application
Published in Sensors (Basel, Switzerland) (25-02-2021)“…Unmanned Aerial Vehicles (UAVs) that can fly around an aircraft carrying several sensors, e.g., thermal and optical cameras, to inspect the parts of interest…”
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5
Data mining of gene expression changes in Alzheimer brain
Published in Artificial intelligence in medicine (01-06-2004)“…Genome-wide transcription profiling is a powerful technique for studying the enormous complexity of cellular states. Moreover, when applied to disease tissue…”
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Human Activity Understanding Through Explainable Audio-Visual Features
Published in IEEE sensors letters (01-08-2024)“…This letter presents an approach to enhance the well-being and safety of aging populations through better understanding their everyday activities. Our approach…”
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Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: Application to cancer and geophysical prospecting data
Published in Expert systems with applications (15-12-2012)“…► Virtual reality is used for the representation of data and symbolic knowledge. ► High quality structure-preserving representations are obtained. ► A…”
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Lighting-on-Demand: Balancing Occupant Needs and Energy Savings
Published in Leukos (02-01-2018)“…Lighting on demand (LOD) is a high-resolution energy-efficient lighting control technique that dynamically adjusts the lights in a space according to its…”
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Time dependent neural network models for detecting changes of state in complex processes: Applications in earth sciences and astronomy
Published in Neural networks (01-03-2006)“…A computational intelligence approach is used to explore the problem of detecting internal state changes in time dependent processes; described by…”
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Neural networks with multiple general neuron models: A hybrid computational intelligence approach using Genetic Programming
Published in Neural networks (01-07-2009)“…Classical neural networks are composed of neurons whose nature is determined by a certain function (the neuron model), usually pre-specified. In this paper, a…”
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Journal Article Conference Proceeding -
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Extreme learning machines with heterogeneous data types
Published in Neurocomputing (Amsterdam) (14-02-2018)“…Current advances in communication, sensor and computing technologies are generating information in never before seen amounts and at constantly increasing rates…”
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Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: Application to geophysical prospecting
Published in Neural networks (01-05-2007)“…A method for the construction of virtual reality spaces for visual data mining using multi-objective optimization with genetic algorithms on nonlinear…”
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13
Finding order in chaos: a behavior model of the whole grid
Published in Concurrency and computation (10-08-2010)“…Over the last decade, grid computing has paved the way for a new level of large‐scale‐distributed systems. However, this new step in distributed computing…”
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Evolutionary computation based nonlinear transformations to low dimensional spaces for sensor data fusion and Visual Data Mining
Published in IEEE Congress on Evolutionary Computation (01-07-2010)“…Data fusion approaches are nowadays needed and also a challenge in many areas, like sensor systems monitoring complex processes. This paper explores…”
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Conference Proceeding -
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Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design
Published in 2023 International Joint Conference on Neural Networks (IJCNN) (18-06-2023)“…This paper further explores an inverse design approach to molecular design consisting of using machine learning methods to approximate the atomic composition…”
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Conference Proceeding -
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Testing the accuracy of low-cost data streams for determining single-person office occupancy and their use for energy reduction of building services
Published in Energy and buildings (15-01-2017)“…•PC data (webcam, keyboard, mouse) better occupancy indicator than normal PIR sensor.•Better detection allows shorter timeouts of devices on space vacancy,…”
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Discrete Fourier Transform Improves the Prediction of the Electronic Properties of Molecules in Quantum Machine Learning
Published in 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE) (05-05-2019)“…High-throughput approximations of quantum mechanics calculations and combinatorial experiments have been traditionally used to reduce the search space of…”
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Conference Proceeding -
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Analysis of mass spectrometry data of cerebral stroke samples: an evolutionary computation approach to resolve and quantify peptide peaks
Published in Genetic programming and evolvable machines (01-09-2008)“…A preliminary investigation of cerebral stroke samples injected into a mass spectrometer is performed from an evolutionary computation perspective. The…”
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Towards a model of input–output behaviour of wastewater treatment plants using soft computing techniques
Published in Environmental modelling & software : with environment data news (01-01-1999)“…Wastewater Treatment Plants (WWTPs) control and prediction under a wide range of operating conditions is an important goal in order to avoid breaking of…”
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A Machine Learning - Explainable AI approach to tropospheric dynamics analysis using Water Vapor Meteosat images
Published in 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (05-12-2021)“…Water vapor in the atmosphere plays a crucial role in the energy balance and weather, being responsible for half of the greenhouse effect. Meteorological…”
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Conference Proceeding