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AAAI
2006
13 years 9 months ago
Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis
A Machine Learning (ML) System known as ROAMS (Ranker for Open-Auto Maintenance Scheduling) was developed to create failure-susceptibility rankings for almost one thousand 13.8kV-...
Philip Gross, Albert Boulanger, Marta Arias, David...
WCNC
2008
IEEE
14 years 2 months ago
RTRD: Real-Time and Reliable Data Delivery in Ad Hoc Networks
—In this paper, we present a reliable real-time data delivery (communication) mechanism for ad-hoc networks, called RTRD. The mechanism makes use of a proactive wireless routing ...
Kai Han, Guanhong Pei, Binoy Ravindran, Hyeonjoong...
ACL
2001
13 years 9 months ago
Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems
This paper presents a method that assists in maintaining a rule-based named-entity recognition and classification system. The underlying idea is to use a separate system, construc...
Georgios Petasis, Frantz Vichot, Francis Wolinski,...
ICMLA
2009
13 years 5 months ago
Alive on Back-feed Culprit Identification via Machine Learning
We describe an application of machine learning techniques toward the problem of predicting which network protector switch is the cause of an Alive on Back-Feed (ABF) event in the ...
Bert C. Huang, Ansaf Salleb-Aouissi, Philip Gross
ATVA
2006
Springer
109views Hardware» more  ATVA 2006»
13 years 9 months ago
Proactive Leader Election in Asynchronous Shared Memory Systems
Abstract. In this paper, we give an algorithm for fault-tolerant proactive leader election in asynchronous shared memory systems, and later its formal verification. Roughly speakin...
M. C. Dharmadeep, K. Gopinath