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A particle filter (including both the previous and new redistribution components) has been implemented using two Big Data frameworks, Hadoop and Spark.
Hardware acceleration through specialization has received renewed interest in recent years; such acceleration has generally been implemented using two chips, with the image signal processing (ISP) part being performed by a DSP, a GPU or an FPGA and the video content analytics (VCA) part being executed by a processor.
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Full-pixel prediction is implemented using two GPU kernels.
This is being implemented using two major technologies, "Electrolysis" and "Layers".
Data fusion can be implemented using two different approaches: group fusion and similarity fusion.
The two-universal-joint transmissions are implemented using two driving shafts and universal joints.
Pointwise observation and control are implemented using two sets of sensors and actuators, respectively.
Bayesian inference networks were implemented using two different types of network and four different types of belief function.
At the receiver end, maximum a posteriori (MAP) decoding algorithm is implemented using two component MAP decoders.
The prediction model of CKD is implemented using two consecutive techniques, which are linear regression (LR) and neural network (NN).
From a relational algebra point of view, a join can be implemented using two other operations product and restrict.
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