scispace - formally typeset
E

Evangelos Kranakis

Researcher at Carleton University

Publications -  515
Citations -  10789

Evangelos Kranakis is an academic researcher from Carleton University. The author has contributed to research in topics: Robot & Mobile robot. The author has an hindex of 46, co-authored 502 publications receiving 10330 citations. Previous affiliations of Evangelos Kranakis include Purdue University & Carleton College.

Papers
More filters
Proceedings ArticleDOI

Learning to Communicate Underwater: An Exploration of Limited Mobility Agents

TL;DR: The adaptive control system suggested attempts to improve communication in underwater networks where environmental conditions are stochastic and time-variant and the algorithm presented is capable of adapting to the optimal performance depth in unimodal Stochastic stationary and non-stationary environments.
Proceedings ArticleDOI

Online routing in quasi-planar and quasi-polyhedral graphs

TL;DR: It is shown that the quasi-planar routing algorithm is inherently flexible in its path-finding, and as an application demonstrate computational results for a network load problem.
Book ChapterDOI

Geocaching-Inspired Navigation for Micro Aerial Vehicles with Fallible Place Recognition

TL;DR: This paper augments the navigation algorithm with a decisional framework resolving conflicts resulting from errors made by place recognition methods, and proposes four decisional algorithms to resolve conflicts among members of a swarm due to place recognition errors.
Book ChapterDOI

Partitions and homogeneous sets for admissible ordinals

TL;DR: In this paper, the authors explore partition properties of admissible ordinals and give characterizations of partition properties which are satisfied by certain definable subsets of κ, which are used to investigate the strength of certain partition properties.
Journal ArticleDOI

Asymptotic Number of Hairpins of Saturated RNA Secondary Structures

TL;DR: The asymptotic expected number of hairpins in saturated structures is computed and a novel algorithm to compute the hairpin profile of a given RNA sequence is described, which is expected to provide more accurate structure prediction for particular RNAs, such as tRNAs and purine riboswitches, known to have a particular number ofhairpins.