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» Neural Networks and Complexity Theory
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CSE
2009
IEEE
15 years 11 months ago
The Importance of Data Collection for Modelling Contact Networks
—The recently developed small wireless devices ranging from sensor boards to mobile phones provide a timely opportunity to gather unique data sets on complex human interactions, ...
Eiko Yoneki
INFOCOM
2006
IEEE
15 years 10 months ago
A Statistical Framework for Intrusion Detection in Ad Hoc Networks
— We focus on detecting intrusions in ad hoc networks using the misuse detection technique. We allow for detection modules that periodically fail to detect attacks and also gener...
Dhanant Subhadrabandhu, Saswati Sarkar, Farooq Anj...
INFOCOM
2008
IEEE
15 years 10 months ago
Maximizing Resilient Throughput in Peer-to-Peer Network: A Generalized Flow Approach
—A unique challenge in P2P network is that the peer dynamics (departure or failure) cause unavoidable disruption to the downstream peers. While many works have been dedicated to ...
Bin Chang, Yi Cui, Yuan Xue
ISNN
2007
Springer
15 years 10 months ago
Hybrid Intelligent Modeling Approach for the Ball Mill Grinding Process
Modeling for the ball mill grinding process is still an imperative but difficult problem for the optimal control of mineral processing industry. Due to the integrated complexities ...
Ming Tie, Jing Bi, Yushun Fan
HIS
2008
15 years 5 months ago
Hybrid Approach for Machine Scheduling Optimization in Custom Furniture Industry
Machine scheduling is a critical problem in industries where products are custom-designed. The wide range of products, the lack of previous experiences in manufacturing, and the s...
Juan Carlos Vidal, Manuel Mucientes, Alberto Bugar...