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The networks were implemented using both conventional maximum likelihood and Bayesian evidence based training algorithms.
The model has been implemented using both Interactive and Non-Interactive flamelet strategies.
The MA2LVQ is implemented using both low-complexity A2LVQ and ordinary A2 architectures.
These proposed algorithms are implemented using both synthetic and real datasets.
Behavior arbitration has been implemented using both fuzzy logic and utility fusion.
Simulations are implemented using both the implicit and explicit codes respectively using non-linear finite element (FE) package ABAQUS.
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The proposed technique is demonstrated to have improved security and privacy against intruders, when compared to other techniques reported in the literature, while being simple to implement using both analog and digital hardware.
Raw data were converted to signal estimates using both MAS5 [ 5] and RMA [ 12], both were implemented using the affy package in Bioconductor [ 34].
However, a potential application for security-demanding military and first responder LTE-based networks could be implemented using nonstandard hardware on both transmitting and receiving sides.
Last, we compared the required processing time of the general-form RS F/RASF DEDR-relatedprocedures (22) and the iterative fixed-point DEDR-POCS-regularized algorithm (32), both implemented using the conventional MATLAB software in a personal computer (PC) running at 3 GHz with a AMD Athlon (tm) 64 dual-core processor and 2 GB of RAM memory.
For our MRP analyses, we also tried two heuristic search methods, both implemented using PAUP* [ 18].
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