Integrated and adaptive traffic signal control for diamond interchange : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Mechatronics Engineering at Massey University, Albany, New Zealand [PDF]
, 2017 New dynamic signal control methods such as fuzzy logic and artificial intelligence developed recently mainly focused on isolated intersection. Adaptive signal control based on fuzzy logic control (FLC) determines the duration and sequence that traffic ...
Pham, Cao Van
core
Lifted Variable Elimination for Probabilistic Logic Programming
, 2014 Lifted inference has been proposed for various probabilistic logical frameworks in order to compute the probability of queries in a time that depends on the size of the domains of the random variables rather than the number of instances.
Bellodi, Elena +4 more
core +1 more source
Experimental Demonstration of Probabilistic Spin Logic by Magnetic Tunnel Junctions [PDF]
IEEE Magnetics Letters, 2019 Recently proposed probabilistic spin logic (PSL) has offered promising solutions to novel computing applications, including some that have previously been covered by quantum computing.
Yang Lv, Robert P. Bloom, Jianping Wang
semanticscholar +1 more source
Efficient quantum computation in a network with probabilistic gates and logical encoding
Physical Review A, 2017 A new approach to efficient quantum computation with probabilistic gates is proposed and analyzed in both a local and non-local setting. It combines heralded gates previously studied for atom or atom-like qubits with logical encoding from linear optical quantum computation in order to perform high fidelity quantum gates across a quantum network.
Borregaard, J. +3 more
openaire +5 more sources
Towards a Comprehensive Framework for Climate Change Multi-Risk Assessment in the Mining Industry
Infrastructures, 2019 Changing climate conditions affect mining operations all over the world, but so far, the mining sector has focused primarily on mitigation actions. Nowadays, there exists increasing recognition of the need for planned adaptation actions. To this end, the
Evangelos Mavrommatis +2 more
doaj +1 more source
Journal of King Saud University: Computer and Information Sciences, 2022 Energy conservation is one of the main challenges hindering the advancement of Wireless Sensor Networks (WSNs) in the Internet of Things (IoT). Although various approaches including probabilistic, deterministic, and mixed model based solutions have been ...
Walid Osamy, Ahmed M. Khedr
doaj +1 more source
A building block for hardware belief networks
, 2016 Belief networks represent a powerful approach to problems involving probabilistic inference, but much of the work in this area is software based utilizing standard deterministic hardware based on the transistor which provides the gain and directionality ...
Behin-Aein, Behtash +2 more
core +2 more sources
Probabilistic Logic Programming with Beta-Distributed Random Variables
, 2018 We enable aProbLog---a probabilistic logical programming approach---to reason in presence of uncertain probabilities represented as Beta-distributed random variables. We achieve the same performance of state-of-the-art algorithms for highly specified and
Cerutti, Federico +3 more
core +2 more sources
Computing LPMLN Using ASP and MLN Solvers
, 2017 LPMLN is a recent addition to probabilistic logic programming languages. Its main idea is to overcome the rigid nature of the stable model semantics by assigning a weight to each rule in a way similar to Markov Logic is defined.
Lee, Joohyung +2 more
core +1 more source
A State Recognition Approach for Complex Equipment Based on a Fuzzy Probabilistic Neural Network
Algorithms, 2016 Due to the traditional state recognition approaches for complex electromechanical equipment having had the disadvantages of excessive reliance on complete expert knowledge and insufficient training sets, real-time state identification system was always ...
Jing Xu +3 more
doaj +1 more source