Analysis of Model Predictive Intersection Control for Autonomous Vehicles

Autor: Fábián, Zsófia, Mihály, András, Gáspár, Péter

Publikováno v: Periodica Polytechnica Transportation Engineering. 51:209-215

Autonomous vehicles are in the main focus for automotive companies and urban traffic engineers as well. As their penetration rate in traffic becomes more and more pronounced due to improvement in sensor technologies and the corresponding infrastructu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e062f9390ecdc65aa25bca75549f567
https://doi.org/10.3311/pptr.22082

Relative Feedback Increases Disparities in Effort and Performance in Crowdsourcing Contests

Autor: Tsvetkova, Milena, Mueller, Sebastian, Vuculescu, Oana, Ham, Haylee, Sergeev, Rinat

Publikováno v: Proceedings of the ACM on Human-Computer Interaction. 6:1-27

Rankings and leaderboards are often used in crowdsourcing contests and online communities to motivate individual contributions but feedback based on social comparison can also have negative effects. Here, we study the unequal effects of such feedback

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d24a97fb76f5ced65ff991e9040261f
https://doi.org/10.1145/3555649

Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition

Autor: Ognjen Arandjelovic, Guoying Zhao, Xiaopeng HONG, Liangfei Zhang

Publikováno v: IEEE Transactions on Affective Computing. 13:1973-1985

Being spontaneous, micro-expressions are useful in the inference of a person's true emotions even if an attempt is made to conceal them. Due to their short duration and low intensity, the recognition of micro-expressions is a difficult task in affect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a263a5aca9ca62e1de5011db2179426
https://doi.org/10.1109/taffc.2022.3213509

Compound memory models

Autor: Goens, Andres, Chakraborty, Soham, Sarkar, Susmit, Agarwal, Sukarn, Oswald, Nicolai, Nagarajan, Vijay

Publikováno v: Goens, A, Chakraborty, S, Sarkar, S, Agarwal, S, Oswald, N & Nagarajan, V 2023, ' Compound Memory Models ', Proceedings of the ACM on Programming Languages, vol. 7, no. PLDI, 153, pp. 1145-1168 . https://doi.org/10.1145/3591267

Funding: This work was funded by the Engineering and Physical Sciences Research Council, through grant references EP/V038699/1 and EP/V028154/1. Submitted to PLDI 2023, which will publish accepted papers in the Proceedings of the ACM in Programming L

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::58ba544295bc0c8878ef579798be10e6
https://hdl.handle.net/10023/27764

Abusive Adversaries in 5G and Beyond IoT

Autor: Saraju P. Mohanty, John McAllister, Blesson Varghese, Vishal Sharma

Publikováno v: Sharma, V, Varghese, B, McAllister, J & Mohanty, S P 2021, ' Abusive Adversaries in 5G and beyond IoT ', IEEE Consumer Electronics Magazine . https://doi.org/10.1109/MCE.2021.3079998

5G and subsequent cellular network generations aim to extend ubiquitous connectivity of billions of Internet-of-Things (IoT) for their consumers. Security is a prime concern in this context as adversaries have evolved to become smart and often employ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::722dbf4479a839f1729fd2a5cf188acc
https://doi.org/10.1109/mce.2021.3079998