Search Results - "2022 International Conference on Computational Science and Computational Intelligence (CSCI)"

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  1. 1

    Interpretable Generative Modeling Using a Hierarchical Topological VAE by Desticourt, Etienne, Letort, Veronique, D'Alche-Buc, Florence

    “…Generating realistic datasets with fine-grained control over their properties can help overcome challenges linked to the scarcity of data in many domains, such…”
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    Conference Proceeding
  2. 2

    Subject Skin Tone Classification with Implications in Wound Imaging using Deep Learning by Sobhan, Masrur, Leizaola, Daniela, Godavarty, Anuradha, Mondal, Ananda Mohan

    “…Chronic wound healing is inconsistent on an individual basis, leading to large treatment costs. The effectiveness of any treatment approach is typically…”
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    Conference Proceeding
  3. 3

    A Drone Flight Control Using Brain Computer Interface and Artificial Intelligence by Abdulghani, Mokhles M., Harden, Arthur A., Abed, Khalid H.

    “…The human mind is a truly remarkable thing that does so much that we are not even aware of. Controlling machines using the concept of Brain-Computer Interface…”
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    Conference Proceeding
  4. 4

    Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning by Bansal, Yogesh, Lillis, David, Kechadi, Tahar

    “…Winter wheat is one of the most important crops in the United Kingdom, and crop yield prediction is essential for the nation's food security. Several studies…”
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    Conference Proceeding
  5. 5

    A Flexible Variant of the Neighbor-Joining for Building Phylogenetic Trees by Lima, A. Chastel, Araujo, Eloi, Stefanes, Marco A., Rozante, L. C. S.

    “…An important problem in Computational Biology is to rebuild a phylogenetic tree from a set of species S and the respective evolutionary distances between each…”
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    Conference Proceeding
  6. 6

    Preliminary Results of Applying Transformers to Geoscience and Earth Science Data by Delgado, J., Ebreso, U., Kumar, Y., Li, J. J., Morreale, P.

    “…Transformers with neural networks (NN) have become a dominant technology in AI/ML to achieve better accuracy in classification and prediction. We…”
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    Conference Proceeding
  7. 7

    Nostrils and Mouth Detection for Drivers Using Convolutional Neural Networks with Automatically Generated Ground Truth Data by Valcan, Sorin, Gaianu, Mihail

    “…Driver monitoring systems are becoming more important in the automotive industry and will be mandatory in the future years to improve driving safety. Nostrils…”
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    Conference Proceeding
  8. 8

    Multi-Pollutant Ground-level Air Pollution Prediction through Deep MeteoGCN-ConvLSTM by Muthukumar, Pratyush, Pathak, Shaurya, Nagrecha, Kabir, Hosseini, Hirad, Comer, Dawn, Amini, Navid, Holm, Jeanne, Pourhomayoun, Mohammad

    “…Air pollution is the fourth-largest threat to human health. The harmful effects of air pollutants have costed the global economy nearly 3 trillion. It is…”
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    Conference Proceeding
  9. 9

    Deep-RSI: Deep learning for Radiographs Source Identification by Mohammadi, Farid Ghareh, Sebro, Ronnie

    “…In forensics, the authenticity of digital images is of the utmost importance, considering that modern technology makes it incredibly simple and quick to alter…”
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    Conference Proceeding
  10. 10

    Fault Identification in Wind Turbines: A Data-Centric Machine Learning Approach by Pinna, Danielle, Toso, Rodrigo, Coutinho, Rafaelli, Isabel Pereira, Ana, Brandao, Diego

    “…The last few years have been marked by the transition of the world energy matrix, predominantly with wind and solar sources considered clean energies. Wind…”
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    Conference Proceeding
  11. 11

    Enabling A Network AI Gym for Autonomous Cyber Agents by Li, Li, El Rami, Jean-Pierre S., Taylor, Adrian, Rao, James Hailing, Kunz, Thomas

    “…This work aims to enable autonomous agents for network cyber operations (CyOps) by applying reinforcement and deep reinforcement learning (RL/DRL). The…”
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    Conference Proceeding
  12. 12

    A Bioengineering System for Assessing Children's Cognitive Development by Computerized Evaluation of Shared Intentionality by Danilov, Igor Val

    “…The article creates a conceptual framework for translational research on the bond between shared intentionality magnitude in caregiver-child dyads and scores…”
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    Conference Proceeding
  13. 13

    Foreign Object Debris Detection for Airport Pavement Images Based on Self-Supervised Localization and Vision Transformer by Munyer, Travis, Brinkman, Daniel, Zhong, Xin, Huang, Chenyu, Konstantzos, Iason

    “…Supervised object detection methods provide subpar performance when applied to Foreign Object Debris (FOD) detection because FOD could be arbitrary objects…”
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    Conference Proceeding
  14. 14

    EXPANSE: A Continual and Progressive Learning System for Deep Transfer Learning by Iman, Mohammadreza, Miller, John A., Rasheed, Khaled, Branch, Robert M., Arabnia, Hamid R.

    “…Deep transfer learning (DTL) techniques attempt to tackle the limitations of deep learning, the dependency on extensive training data and the training costs by…”
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    Conference Proceeding
  15. 15

    Security Analytics Framework Validation Based on Threat Intelligence by Sowinski-Mydlarz, Viktor, Vassilev, Vassil, Ouazzane, Karim, Phipps, Anthony

    “…Logical analysis of the ontology of digital security in banking helps us to identify the possible entry points for illegal access. The threats described in the…”
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    Conference Proceeding
  16. 16

    Is There a Limit to the Utility of Analogy? A Case Study in Knowledge Graph Triple Representation by Kalinowski, Alexander, An, Yuan

    “…Knowledge graph embedding methods are known to be highly dependent on the locally closed world assumption (LCWA). This assumption has practicality in training…”
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    Conference Proceeding
  17. 17

    Fast Key Points Detection and Matching for Tree-Structured Images by Wang, Hao, Chen, Xiwen, Razi, Abolfazl, Amin, Rahul

    “…This paper offers a new authentication algorithm based on image matching of nano-resolution visual identifiers with tree-shaped patterns. The algorithm…”
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    Conference Proceeding
  18. 18

    Component-Wise Natural Gradient Descent on Deep Neural Networks by van Sang, Tran, Yamaguchi, Rie Shigetomi, Irvan, Mhd, Nakata, Toshiyuki

    “…Natural Gradient Descent (NGD) is a well-known second-order network training method pre-conditioning the gradient descent with the inversion of the Fisher…”
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    Conference Proceeding
  19. 19

    Artificial Intelligence's Role in Chronic Condition Decision Extrapolation by Mohammad, Atif Farid, Boese, Mike, Amruta, G., K, Ishdeep, G., Ramyaa, Vanjani, Tavishaa

    “…Chronic Conditions are long lasting diseases that usually last a year or more and require continuous medical treatment and attention throughout. To prevent…”
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    Conference Proceeding
  20. 20

    Mobile AR Application for Navigation and Emergency Response by Mannuru, Nishith Reddy, Kanumuru, Mounica, Sharma, Sharad

    “…Emergency response, navigation, and evacuation are key essentials for effective rescue and safety management. Situational awareness is a key ingredient when…”
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    Conference Proceeding