Publicaciones en colaboración con investigadores/as de Loughborough University (43)

2024

  1. Food Safety 4.0

    Food Industry 4.0: Emerging Trends and Technologies in Sustainable Food Production and Consumption (Elsevier), pp. 61-81

  2. ReSurveyEurope: A database of resurveyed vegetation plots in Europe

    Journal of Vegetation Science, Vol. 35, Núm. 2

  3. Truths and myths about superfoods in the era of the COVID-19 pandemic

    Critical Reviews in Food Science and Nutrition, Vol. 64, Núm. 3, pp. 585-602

2022

  1. A Seven-Layer Convolutional Neural Network for Chest CT-Based COVID-19 Diagnosis Using Stochastic Pooling

    IEEE Sensors Journal, Vol. 22, Núm. 18, pp. 17573-17582

  2. Structure, controlled release mechanisms and health benefits of pectins as an encapsulation material for bioactive food components

    Food and Function, Vol. 13, Núm. 21, pp. 10870-10881

2021

  1. Advances in data preprocessing for bio-medical data fusion: An overview of the methods, challenges, and prospects

    Information Fusion

  2. COVID-19 demand-induced scarcity effects on nutrition and environment: investigating mitigation strategies for eggs and wheat flour in the United Kingdom

    Sustainable Production and Consumption, Vol. 27, pp. 1255-1272

  3. Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network

    Information Fusion, Vol. 67, pp. 208-229

  4. Embedding sustainability analysis in new food product development

    Trends in Food Science and Technology, Vol. 108, pp. 236-244

  5. Explainable diagnosis of secondary pulmonary tuberculosis by graph rank-based average pooling neural network

    Journal of Ambient Intelligence and Humanized Computing

  6. Food Logistics 4.0: Opportunities and Challenges

    LOGISTICS-BASEL, Vol. 5, Núm. 1

  7. IEEE Access Special Section Editorial: Emerging Deep Learning Theories and Methods for Biomedical Engineering

    IEEE Access

  8. Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network

    Information Processing and Management, Vol. 58, Núm. 2

  9. Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling

    Complex and Intelligent Systems, Vol. 7, Núm. 3, pp. 1295-1310

  10. IoT technologies in the food supply chain

    Food Technology Disruptions (Elsevier), pp. 175-211

  11. Optimisation of the resource efficiency of food manufacturing via the Internet of Things

    Computers in Industry, Vol. 127

2020

  1. A complete decision-support infrastructure for food waste valorisation

    Journal of Cleaner Production, Vol. 247

  2. A method to assess the feasibility of implementing distributed Localised Manufacturing strategies in the food sector

    Journal of Cleaner Production, Vol. 266

  3. Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

    Information Fusion, Vol. 64, pp. 149-187

  4. An overview of current challenges in new food product development

    Sustainability (Switzerland), Vol. 12, Núm. 8