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4 Sep 2009: In the caseof small animals, devices weighing more than 5% of bodyweight are often considered too heavy. ... Formally, the problemis as follows: Given a limited energy budget, maximize thenumber of animal detections.

17 May 2024: An Active-Radio-Frequency-Identification system capable of identifying co-locations and social-structure: validation with a wild free-ranging animal. ... Cambridge, UK. September 2016. A Multilayer Approach to Multiplexity and Link Prediction in Online

17 Jul 2008: Thisinformation can also be used to address specific problemssuch as how the behaviour of the animals might contributeto the spreading of diseases or to track animal survival. ... Toestimate population parameters with precision we need totag a large

10 May 2018: Alice ValentiniUniversity of Bologna. Bologna, Italyalice.valentini7@studio.unibo.it. Cecilia MascoloUniversity of Cambridge. Cambridge, United Kingdomcecilia.mascolo@cl.cam.ac.uk. ... Amanda ProrokUniversity of Cambridge. Cambridge, United

12 Dec 2009: Inthese contexts, WSN nodes are physically attached to animals or people being moni-tored. ... 2. J. L. Brown and G. H. Orians. Spacing patterns in mobile animals.

27 Apr 2011: Mascolo, B. Pasztor, S. Scellato, Computer Laboratory, University of Cambridge,Cambridge, CB3 0FD, UK. ... transmissions from animal collars, it was necessary to conduct a number of fieldexperiments.

1 Sep 2010: of Computer Science and Technology, University of Bedfordshire, UK Computer Lab, University of Cambridge, UK. ... tracking presents uniquechallenges, requiring animal borne tags to be simultaneouslysmall, very reliable, and inexpensive.

24 Aug 2022: Exploring On-Device Learning Using Few Shots forAudio Classification. Jagmohan ChauhanUniversity of SouthamptonUniversity of Cambridge. ... Young D. KwonUniversity of Cambridge. Cecilia MascoloUniversity of Cambridge. Abstract—Few shot learning (FSL)

5 Sep 2022: 1Department of Computer Science and Technology, University of Cambridge, UKtd464@cam.ac.uk, tq215@cam.ac.uk, cm542@cam.ac.uk. ... As it is easy. ‡Equal contributions, listed in alphabet order. to collect unlabelled audio recordings at a large scale,

4 Apr 2008: v.dyo@cs.ucl.ac.uk2 Computer Laboratory, University of Cambridge15 JJ Thomson Avenue, Cambridge CB3 0FD, UK. ... These represent a large class, which includehuman and animal life. 3 Learning Arrival Patterns.