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for variational quantum circuit based functional regression. [5] M. Schuld et al., The effect of data encoding on the expressive power of variational quantum machine learning models. [6] A. Zeguendry et al
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years, machine learning (ML) methods are found to be effective in wireless communication, particularly for channel estimation in RIS integrated NOMA communication system. However, still required further
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of the global population in some species (e.g., Griffon vultures or Bearded vultures). The proposed research aims to utilize advanced machine learning techniques to unravel the intricate behaviours and
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our mission we use a variety of research strategies that include big data and machine learning, brain imaging and neural interfacing, human-computer interaction and robotics. Bioinspired artificial
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, The seven tools of causal inference, with reflections on machine learning, Commun. ACM 62 (2019), 54-60. [3] A. Holzinger, G. Langs, H. Denk, K. Zatloukal, H. Müller, Causability and explainability
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Meet Artificial Social Intelligence, IEEE Internet of Things, DOI: 10.1109/JIOT.2021.3081556, 2021. F. Yang, Z. Yu, L. Chen, J. Gu, Q. Li, B. Guo, Human-Machine Cooperative Video Anomaly Detection
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system in a magnetic shielded room (MSR)). The candidate will benefit from Ulster’s wide-ranging expertise in Computational Neuroscience, Cognitive Neuroscience, Machine Learning and Computational Biology
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-level fusion in combination with machine learning algorithms to achieve emotion recognition with some success. However, more recently deep learning has shown remarkable capabilities in learning detailed
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Summary Deep learning is a hot topic in machine learning and it is playing increasingly important roles in intelligence systems for our daily lives, such as computer vision, autonomous car driving
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learning algorithms inherently perform decision-making, the developed neural model(s) will in turn inspire the development of advanced machine learning algorithms. This timely and exciting project is