Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Abhinav Mehrotra"'
Publikováno v:
EPJ Data Science, Vol 6, Iss 1, Pp 1-15 (2017)
Abstract Understanding and modeling the mobility of individuals is of paramount importance for public health. In particular, mobility characterization is key to predict the spatial and temporal diffusion of human-transmitted infections. However, the
Externí odkaz:
https://doaj.org/article/8ef1698af7c84571a11211f3262cd803
Autor:
Chhaya Bhardwaj, Abhinav Mehrotra
Publikováno v:
The Australian Year Book of International Law Online. 40:89-114
This article draws parallel between Crawford and Third World Approach of International Law (TWAIL)’s position of “sovereign equality of states” that has been the defining characteristic of the international system. Both TWAIL and Crawford have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be5d62ef801c26101046d9c13872fc4a
https://doi.org/10.1163/26660229-04001006
https://doi.org/10.1163/26660229-04001006
Autor:
Abhinav Mehrotra
Publikováno v:
Comparative Law Review. 27:313-327
This paper advances a human rights perspective to the understanding of internet access by viewing it through a comparative lens with reference to countries in Europe, and the USA, India, and China. The question that is explored is: does internet acce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::222b4a50578284f013fd2bd8e0a5120d
https://doi.org/10.12775/clr.2021.013
https://doi.org/10.12775/clr.2021.013
Publikováno v:
ACM Transactions on Computing for Healthcare. 2:1-33
Understanding in which circumstances office workers take rest breaks is important for delivering effective mobile notifications and make inferences about their daily lifestyle, e.g., whether they are active and/or have a sedentary life. Previous stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be6a6a3bb0b1f8b6ce28190fdc5bba33
https://doi.org/10.1145/3458753
https://doi.org/10.1145/3458753
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 4:1-21
There has been an increasing interest in the problem of inferring emotional states of individuals using sensor and user-generated information as diverse as GPS traces, social media data and smartphone interaction patterns. One aspect that has receive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0859ef1d3cd17191fa40c5ecfe9ed374
https://doi.org/10.1145/3380997
https://doi.org/10.1145/3380997
Autor:
Abhinav Mehrotra, Mirco Musolesi
Publikováno v:
Synthesis Lectures on Mobile and Pervasive Computing. 11:1-75
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe839d0a6926e665f0178ae3ab027934
https://doi.org/10.2200/s00965ed1v01y201911mpc014
https://doi.org/10.2200/s00965ed1v01y201911mpc014
Autor:
Shkurta Gashi, Lidia Alecci, Martin Gjoreski, Elena Di Lascio, Abhinav Mehrotra, Mirco Musolesi, Maike E. Debus, Francesca Gasparini, Silvia Santini
Sensor-based sleep monitoring systems can be used to track sleep behavior on a daily basis and provide feedback to their users to promote health and well-being. Such systems can provide data visualizations to enable self-reflection on sleep habits or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c465c6133e24ef025306b88a0ec99f0c
https://hdl.handle.net/10281/403056
https://hdl.handle.net/10281/403056
Understanding and learning the characteristics of network paths has been of particular interest for decades and has led to several successful applications. Such analysis becomes challenging for urban networks as their size and complexity are signific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::167dc88bd8d37074aba4861d5180dfa5
http://hdl.handle.net/11585/808887
http://hdl.handle.net/11585/808887
Autor:
Nicholas D. Lane, Abhinav Mehrotra, Stefanos Laskaridis, Ilias Leontiadis, Lukasz Dudziak, Mario Almeida
Publikováno v:
Internet Measurement Conference
With smartphones' omnipresence in people's pockets, Machine Learning (ML) on mobile is gaining traction as devices become more powerful. With applications ranging from visual filters to voice assistants, intelligence on mobile comes in many forms and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ef0b591656c8b3dff7b2946dbe9e204
https://doi.org/10.1145/3487552.3487863
https://doi.org/10.1145/3487552.3487863
Ubiquitous computing is moving from context-awareness to context-prediction. In order to build truly anticipatory systems developers have to deal with many challenges, from multimodal sensing to modeling context from sensed data, and, when necessary,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b68c1b6b4f9f72d8dc4affe99feacbb3
https://hdl.handle.net/11585/810201
https://hdl.handle.net/11585/810201