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to: - Developing underwater communication systems using deep learning which are well-performing to nonlinear channels. - Establishing a deep learning architecture which is optimal for underwater acoustic
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to understand the roles of the geometrical properties and the surface chemistry on CO2 adsorption in the developed porous carbons, to facilitate the optimized adsorbents development. Student type Future Students
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materials. Develop and optimize materials for efficient hydrogen liquefaction. Analyze data and contribute to the publication of research findings. Collaborate with a team of researchers and engineers. Join
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effective digital platform for analyzing, visualising and interpreting the condition of civil engineering structures. The digital twin models are created to represent the state and behaviour of structures in
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-based optimization design framework is proposed to solve the problem of UAV-USV cooperative control. Develop data-driven optimization technology to solve the control problem of UAV and USV under uncertain
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contributing to final layer predictions. • Objective 3: Non-convex Optimization and Local Minima -- Study the theoretical foundations and empirical behaviors of deep neural networks in the context of non-convex
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Development of auxetic structures for optimal orthopaedic implant / bone integration 3 Minute read This PhD project will be based at the University of Melbourne with a 12-month stay at Shanghai Jiao
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into consideration the playing position and style of play. By accomplishing these objectives, this research intends to enhance the effectiveness of training programs and optimize player development, ultimately