FigurA11y: AI Assistance for Writing Scientific Alt Text by Singh, Nikhil, Wang, Lucy Lu, Bragg, Jonathan

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A Review of Unmanned Aerial Vehicles/Urban Air Mobility Potential Cyberattacks and Authentication Models: A Way Forward by Mahmoud, Aminu Abdulkadir, Ramli, Sofia Najwa, Mohd Ariff, Mohd Aifaa, Chai Wen, Chuah, Rahim, Nordiana

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An integrated framework for multi-state driver monitoring using heterogeneous loss and attention-based feature decoupling by Hu, Zhongxu, Zhang, Yiran, Xing, Yang, Li, Qinghua, Lv, Chen

“…Multi-state driver monitoring is a key technique in building human-centric intelligent driving systems. This paper presents an integrated visual-based multi-state driver monitoring framework that incorporates head rotation, gaze, blinking, and yawning. …”
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Robotic conformal material extrusion 3D printing for appending structures on unstructured surfaces by Armstrong, Connor David, Montgomery, Stuart Macrae, Yue, Liang, Demoly, Frédéric, Zhou, Kun, Qi, Jerry H.

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Spatiotemporal-restricted A∗ algorithm as a support for lane-free traffic at intersections with mixed flows by Chi, Haifei, Cai, Pinlong, Fu, Daocheng, Zhai, Junda, Zeng, Yadan, Shi, Botian

“…However, it is challenging to apply efficient lane-free traffic to be compatible with the traditional intersection control mode for mixed flow composed of CAVs and Human-driving Vehicles (HVs). To address the research gap, this paper proposes a spatiotemporal-restricted A∗ algorithm to obtain efficient and flexible lane-free trajectories for CAVs. …”
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Can industry 5.0 technologies overcome supply chain disruptions? A perspective study on pandemics, war, and climate change issues by Agrawal, Shruti, Agrawal, Rohit, Kumar, Anil, Luthra, Sunil, Garza-Reyes, Jose Arturo

“…Industry 5.0 (I5.0) is the next industrial revolution that will leverage human intervention in collaboration with intelligent, logical, and smart machines to attain even more user-preferred and resource-efficient manufacturing and supply chain solutions. …”
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Renewable energy integration into smart grids : problems and solutions — Singapore experience by Koh, Leong Hai, Tan, Yen Kheng, Wang, Peng, Tseng, King Jet

“…Singapore being a city state with 712.4km2, 5.183million people, S$59,813 Gross Domestic Product (GDP) per capital, population density of 7,126 per square kilometer [1] and limited natural resources, identified her GHG emission as carbon dioxide (CO2) mainly from combustion of fossil fuels and natural gas to generate energy meeting development and human needs. By 2006 highly efficient combined cycle technology was deployed to generate 78% primary energy by burning natural gas [2]. …”
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Employee profiling via aspect-based sentiment and network for insider threats detection by Soh, Charlie, Yu, Sicheng, Narayanan, Annamalai, Duraisamy, Santhiya, Chen, Lihui

“…Existing works mainly focused on modeling the employees’ normal biometric behavior (e.g., human to device interaction pattern) to detect anomalous behavior which corresponds to the insider activity. …”
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Study on the impact of connected automated vehicle position on mixed traffic flow stability by Tan, Kenneth Chiao Wee

“…Because CAVs utilise vehicle controls such as Cooperative Adaptive Cruise Control (CACC) and Adaptive Cruise Control (ACC) while human-driven vehicles (HDV) utilise driving models such as Intelligent Driving Model (IDM), these vehicles controls and models are also being examined in this study. …”
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Goal modelling for deep reinforcement learning agents by Leung, Jonathan, Shen, Zhiqi, Zeng, Zhiwei, Miao, Chunyan

“…As agents become more intelligent, it is necessary to ensure that the agent’s goals are aligned with the goals of the agent designers to avoid unexpected or unwanted agent behavior. …”
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Industrial symbiosis and the successional city : adapting exchange networks to energy constraints by Terway, Timothy M. (Timothy Michael)

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A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings by Chaudhuri, Tanaya, Soh, Yeng Chai, Li, Hua, Xie, Lihua

“…The study is substantiated with extensive real human experiments in controlled thermal environment. …”
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Physical unclonable function based solutions to unification of user, device and data authentication by Zheng, Yue

“…A UDhashing scheme is proposed to unify the macroscopic human biometric and microscopic silicon entropy into a single identity by projecting the contactless facial biometric into a PUF- defined random space. …”
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Energy storage management for renewable energy systems by Feng, Xue

“…Excess dependence on fossil fuels and hence large amount of carbon emission overloads the atmosphere of the earth and causes global warming which poses negative impacts on the sustainability development of the human being. The increasing carbon emission is largely due to the deployment of the carbon intensive electricity generation based on fossil fuels. …”
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Representation learning in the artificial and biological neural networks underlying sensorimotor integration by Suhaimi, Ahmad, Lim, Amos W. H., Chia, Xin Wei, Li, Chunyue, Makino, Hiroshi

“…The integration of deep learning and theories of reinforcement learning (RL) is a promising avenue to explore novel hypotheses on reward-based learning and decision-making in humans and other animals. Here, we trained deep RL agents and mice in the same sensorimotor task with high-dimensional state and action space and studied representation learning in their respective neural networks. …”
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Persuasive teachable agent for intergenerational learning by Lim, Su Fang

“…Teachable agents are artificial intelligent computer agents designed around the pedagogical concept that students learn better when they teach others. …”
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Three Paradoxes to Reconcile to Promote Safe, Fair, and Trustworthy AI in Education by Slama, Rachel, Toutziaridi, Amalia Christina, Reich, Justin

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