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Treatment of electric vehicle battery waste in China: A review of existing policies

Li, W Yang, M Long, R Mamaril, K Chi, Y

This paper reviews existing policies for supporting the treatment of electric vehicle (EV) battery waste in China, and identifies some of their major shortcomings that policy makers may like to con...

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Refined Continuous Control of DDPG Actors via Parametrised Activation

Hossny, M Iskander, J Attia, M Saleh, K Abobakr, A

Continuous action spaces impose a serious challenge for reinforcement learning agents. While several off-policy reinforcement learning algorithms provide a universal solution to continuous control ...

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Efficient Non-parametric Bayesian Hawkes Processes

Zhang, R Walder, C Rizoiu, M-A Xie, L

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Traffic signal control optimization under severe incident conditions using Genetic Algorithm

Mao, T Mihaita, A-S Cai, C

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Trip Table Estimation and Prediction for Dynamic Traffic Assignment Applications

Shafiei, S Mihaita, A-S Cai, C

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Facilitating machine learning model comparison and explanation through a radial visualisation^†

Zhou, J Huang, W Chen, F

Building an effective Machine Learning (ML) model for a data set is a difficult task involving various steps. One of the most important steps is to compare a substantial amount of generated ML mode...

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Skill-driven recommendations for job transition pathways

Dawson, N Williams, M-A Rizoiu, M-A

Job security can never be taken for granted, especially in times of rapid, widespread and unexpected social and economic change. These changes can force workers to transition to new jobs. This may ...

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Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks

Yang, S

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Examination of Community Sentiment Dynamics due to COVID-19 Pandemic: A Case Study from a State in Australia

Zhou, J Yang, S Xiao, C Chen, F

The outbreak of the novel Coronavirus Disease 2019 (COVID-19) has caused unprecedented impacts to people's daily life around the world. Various measures and policies such as lockdown and social-dis...

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Advances in Meta-Heuristic Optimization Algorithms in Big Data Text Clustering

Abualigah, L Gandomi, AH Elaziz, MA Hamad, HA Omari, M Alshinwan, M Khasawneh, AM

This paper presents a comprehensive survey of the meta-heuristic optimization algorithms on the text clustering applications and highlights its main procedures. These Artificial Intelligence (AI) a...

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