Human activity recognition based on smartphone sensors by Rajendran, Abinaya

“…Human Activity Recognition otherwise called as HAR is a challenging research field that promotes quality of life by means of ambient intelligence and assisted living. The fundamental step for the development of intelligent system is to understand and start learning the human activities in the real time environment. …”
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Place identity: a generative AI’s perspective by Jang, Kee Moon, Chen, Junda, Kang, Yuhao, Kim, Junghwan, Lee, Jinhyung, Duarte, Fabio, Ratti, Carlo

“…The latest advancements in generative artificial intelligence (AI) models have enabled the creation of realistic representations learned from vast amounts of data. …”
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Deep hybrid model with satellite imagery: How to combine demand modeling and computer vision for travel behavior analysis? by Wang, Qingyi, Wang, Shenhao, Zheng, Yunhan, Lin, Hongzhou, Zhang, Xiaohu, Zhao, Jinhua, Walker, Joan

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USN: a robust imitation learning method against diverse action noise by Yu, Xingrui, Han, Bo, Tsang, Ivor Wai-Hung

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Media Cloud: Massive Open Source Collection of Global News on the Open Web by Roberts, Hal, Bhargava, Rahul, Valiukas, Linas, Jen, Dennis, Malik, Momin M, Bishop, Cindy Sherman, Ndulue, Emily B, Dave, Aashka, Clark, Justin, Etling, Bruce, Faris, Robert, Shah, Anushka, Rubinovitz, Jasmin, Hope, Alexis, D'Ignazio, Catherine, Bermejo, Fernando, Benkler, Yochai, Zuckerman, Ethan

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Subtle, natural and socially acceptable interaction techniques for ringterfaces : finger-ring shaped user interfaces by Pang, Natalie, Rissanen, Mikko J., Vu, Samantha, Fernando, Owen Noel Newton, Foo, Schubert

“…We highlight the need for studying context awareness in ambient intelligence environments and end-user programming in future research on ringterfaces.…”
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PETRINA : personalizing and analyzing spatiotemporal traffic information by Yan, Wye Huong

“…Moreover, the transport data analytics can provide useful information for urban planning.…”
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Impact on car platoon simulations: headway distance vs stopping distance by Lim, Jia Le

“…Such emerging techniques provide a wealth of knowledge of the traffic conditions for all vehicles driving on an urban road network, which may reduce traffic congestion, fuel consumption, environmental footprints, and enhance safety. …”
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Learning-enabled decision-making for autonomous driving: framework and methodology by Huang, Zhiyu

“…The experimental results demonstrate superior performance in both open-loop and closed-loop testing, effectively handling complex urban driving scenarios. This thesis not only makes significant contributions to the advancement of autonomous driving systems but also lays the foundation for future research in learning-based decision-making for a wide range of intelligent systems. …”
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Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence by D'Ignazio, Catherine, Cruxên, Isadora, Suárez Val, Helena, Martinez Cuba, Angeles, García-Montes, Mariel, Fumega, Silvana, Suresh, Harini, So, Wonyoung

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Human Centered Computing : 66th International Conference, HCC 2020, Virtual Event, December 14-15, 2020 : Revised Selected Papers / by HCC (Conference : Human Centered Computing) (6th : 2020 : Online), organiser 642973, Zu, Qiaohong, editor 642970, Tang, Yong, editor 642971, Mladenović, Vladimir, editor 642972

Region embedding with intra and inter-view contrastive learning by Zhang, Liang, Long, Cheng, Cong, Gao

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An RF energy harvester by Wang, Chao

“…For those sensor networks, they are used in various scenarios such as intelligent monitoring systems for office, medical, or military applications. …”
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Development of an RF positioning system by Rege, Laukik Jayesh

“…Ironically, GNSS positioning becomes unreliable in urban canyons, i.e., places where there is a lot of urban infrastructure. …”
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A simulation-based dynamic traffic assignment model with combined modes by Meng, Meng, Shao, Chunfu, Zeng, Jingjing, Dong, Chunjiao

“…This paper presents a dynamic traffic assignment (DTA) model for urban multi-modal transportation network by constructing a mesoscopic simulation model. …”
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Robust Transit Frequency Setting Problem With Demand Uncertainty by Guo, Xiaotong, Mo, Baichuan, Koutsopoulos, Haris N, Wang, Shenhao, Zhao, Jinhua

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Graph attention informer for long-term traffic flow prediction under the impact of sports events by Song, Yaofeng, Luo, Ruikang, Zhou, Tianchen, Zhou, Changgen, Su, Rong

“…Traffic flow prediction is one of the challenges in the development of an Intelligent Transportation System (ITS). Accurate traffic flow prediction helps to alleviate urban traffic congestion and improve urban traffic efficiency, which is crucial for promoting the synergistic development of smart transportation and smart cities. …”
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Multi-agent trajectory prediction with heterogeneous edge-enhanced graph attention network by Mo, Xiaoyu, Huang, Zhiyu, Xing, Yang, Lv, Chen

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Modeling, validation, and performance of low-frequency piezoelectric energy harvesters by Abdelkefi, A., Barsallo, Nilma, Tang, Lihua, Yang, Yaowen, Hajj, Muhammad R

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A novel two-degrees-of-freedom piezoelectric energy harvester by Wu, Hao, Tang, Lihua, Yang, Yaowen, Soh, Chee Kiong

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