Search Results - "Valdés, Julio J."

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  1. 1

    Machine Learning Based Electronic Structure Predictors in Single-Atom Alloys: A Model Study of CO Kink-Site Adsorption across Transition Metal Substrates by Shirani, Javad, Pham, Hanh D. M., Yuan, Shuaishuai, Tchagang, Alain B., Valdés, Julio J., Bevan, Kirk H.

    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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    Journal Article
  2. 2

    Novel machine learning insights into the QM7b and QM9 quantum mechanics datasets by Valdés, Julio J, Tchagang, Alain B

    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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    Journal Article
  3. 3

    Potential energy savings from high-resolution sensor controls for LED lighting by Dikel, Erhan E., Newsham, Guy R., Xue, Henry, Valdés, Julio J.

    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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    Journal Article
  4. 4

    Evaluation and Selection of Video Stabilization Techniques for UAV-Based Active Infrared Thermography Application by Pant, Shashank, Nooralishahi, Parham, Avdelidis, Nicolas P, Ibarra-Castanedo, Clemente, Genest, Marc, Deane, Shakeb, Valdes, Julio J, Zolotas, Argyrios, Maldague, Xavier P V

    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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    Journal Article
  5. 5

    Data mining of gene expression changes in Alzheimer brain by Roy Walker, P., Smith, Brandon, Liu, Qing Yan, Fazel Famili, A., Valdés, Julio J., Liu, Ziying, Lach, Boleslaw

    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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    Journal Article
  6. 6

    Human Activity Understanding Through Explainable Audio-Visual Features by Valdes, Julio J., Cook, Zara, Wang, Jack, Wallace, Bruce, Laska, Brady, Green, James, Goubran, Rafik, Xi, Pengcheng

    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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    Journal Article
  7. 7

    Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: Application to cancer and geophysical prospecting data by Valdés, Julio J., Romero, Enrique, Barton, Alan J.

    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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    Journal Article
  8. 8

    Lighting-on-Demand: Balancing Occupant Needs and Energy Savings by Dikel, Erhan E., Veitch, Jennifer A., Mancini, Sandra, Xue, Hui Henry, Valdés, Julio J.

    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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    Journal Article
  9. 9

    Time dependent neural network models for detecting changes of state in complex processes: Applications in earth sciences and astronomy by Valdés, Julio J., Bonham-Carter, Graeme

    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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    Journal Article
  10. 10

    Neural networks with multiple general neuron models: A hybrid computational intelligence approach using Genetic Programming by Barton, Alan J., Valdés, Julio J., Orchard, Robert

    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
  11. 11

    Extreme learning machines with heterogeneous data types by Valdés, Julio J.

    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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    Journal Article
  12. 12

    Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: Application to geophysical prospecting by Valdés, Julio J., Barton, Alan J.

    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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    Journal Article
  13. 13

    Finding order in chaos: a behavior model of the whole grid by Montes, Jesús, Sánchez, Alberto, Valdés, Julio J., Pérez, María S., Herrero, Pilar

    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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    Journal Article
  14. 14

    Evolutionary computation based nonlinear transformations to low dimensional spaces for sensor data fusion and Visual Data Mining by Valdes, J J

    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
  15. 15

    Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design by Valdes, Julio J., Tchagang, Alain B.

    “…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
  16. 16

    Testing the accuracy of low-cost data streams for determining single-person office occupancy and their use for energy reduction of building services by Newsham, Guy R., Xue, Henry, Arsenault, Chantal, Valdes, Julio J., Burns, Greg J., Scarlett, Elizabeth, Kruithof, Steven G., Shen, Weiming

    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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    Journal Article
  17. 17

    Discrete Fourier Transform Improves the Prediction of the Electronic Properties of Molecules in Quantum Machine Learning by Tchagang, Alain B., Valdes, Julio J.

    “…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
  18. 18

    Analysis of mass spectrometry data of cerebral stroke samples: an evolutionary computation approach to resolve and quantify peptide peaks by Valdés, Julio J., Barton, Alan J., Haqqani, Arsalan S.

    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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    Journal Article
  19. 19

    Towards a model of input–output behaviour of wastewater treatment plants using soft computing techniques by Belanche, Lluı́s A, Valdés, Julio J, Comas, Joaquim, Roda, Ignasi R, Poch, Manel

    “…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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    Journal Article
  20. 20

    A Machine Learning - Explainable AI approach to tropospheric dynamics analysis using Water Vapor Meteosat images by Valdes, Julio J., Pou, Antonio

    “…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