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» Deterministic Sampling Algorithms for Network Design
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NCA
2007
IEEE
14 years 9 months ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan
ISQED
2010
IEEE
120views Hardware» more  ISQED 2010»
15 years 4 months ago
Methodology from chaos in IC implementation
— Algorithms and tools used for IC implementation do not show deterministic and predictable behaviors with input parameter changes. Due to suboptimality and inaccuracy of underly...
Kwangok Jeong, Andrew B. Kahng
86
Voted
COMCOM
2008
131views more  COMCOM 2008»
14 years 9 months ago
CORA: Collaborative Opportunistic Recovery Algorithm for loss controlled, delay bounded ad hoc multicast
In this paper, we present Collaborative Opportunistic Recovery Algorithm (CORA) designed for multicast multimedia applications with low loss as well as latency constraints in ad h...
Yunjung Yi, Jiejun Kong, Mario Gerla, Joon-Sang Pa...
CISS
2010
IEEE
14 years 1 months ago
Cost constrained spectrum sensing in cognitive radio networks
—This paper addresses optimal spectrum sensing in cognitive radio networks considering its system level cost that accounts for the local processing cost of sensing (sample collec...
Gang Xiong, Shalinee Kishore, Aylin Yener
161
Voted
GIS
2008
ACM
15 years 10 months ago
Pedestrian flow prediction in extensive road networks using biased observational data
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Michael May, Simon Scheider, Roberto Rösler, ...