Dynamic multi-objective optimization algorithm based decomposition and preference
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- https://doi.org/10.1016/j.ins.2021.04.055
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Transformer For Image Quality Assessment
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- https://arxiv.org/abs/2101.01097
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- https://doi.org/10.1109/ICIP42928.2021.9506075
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Commentary to the Commission’s proposal for the “AI Act” – Response to selected issues
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- https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/12527-Artificial-intelligence-ethical-and-legal-requirements/F2665397_en
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- https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/12527-Artificial-intelligence-ethical-and-legal-requirements_en
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Solving dynamic multi-objective problems with a new prediction-based optimization algorithm
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- https://doi.org/10.1371/journal.pone.0254839
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- https://aura.abdn.ac.uk/bitstreams/0f9840cc-d43a-42a5-9b9e-6791497aa225/download
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Adaptive Inverse Control of a Vibrating Coupled Vessel-Riser System With Input Backlash
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- https://doi.org/10.1109/TSMC.2019.2944999
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Deep Learning for Computer-Aided Diagnosis in Ophthalmology: A Review
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- https://doi.org/10.1016/B978-0-12-819740-0.00011-5
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- https://www.elsevier.com/books/state-of-the-art-in-neural-networks-and-their-applications/s-el-baz/978-0-12-819740-0
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Deep learning based prediction on greenhouse crop yield combined TCN and RNN
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- https://doi.org/10.3390/s21134537
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- https://aura.abdn.ac.uk/bitstreams/aa73735b-bace-4e4c-b9f8-c1cafeea59a2/download
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The short-term associations of chronic obstructive pulmonary disease hospitalizations with meteorological factors and air pollutants in Southwest China: a time-series study
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- https://doi.org/10.1038/s41598-021-92380-z
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- https://aura.abdn.ac.uk/bitstreams/d3423228-fa98-4d82-b54a-47ee1e861927/download
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An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth
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- https://doi.org/10.1016/j.ins.2021.01.037
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- https://aura.abdn.ac.uk/bitstreams/13e0f06c-e2b6-4190-8123-ae617c1b1251/download
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The IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homes
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- https://doi.org/10.1038/s41597-021-00921-y
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- https://aura.abdn.ac.uk/bitstreams/177644c6-8fd8-47f1-980f-bf4aa1ab68e2/download