… game testing according to their occurrence time. Subsequently, … , necessitating that players
transport the box alongside the … single set is intended to reduce the chance of overlooking a …

… the negative effects of traffic oscillations, a deep reinforcement learning-… By applying the twin
delayed deep deterministic policy … Transportation Systems(ITSC), Hawaii, USA: IEEE, 2018. …

… a 30 s delay before launching … use of machine learning techniques; in this sense, three
algorithms are used SVM, k-NN, and DT, and we deploy a voting system that is able to maximize …

… late with models including keen urban communities, savvy homes with the organization of
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… As a late comer in the industry, Malaysia too lacks Big Data … as Hadoop, MapReduce, machine
learning, natural language … data to predict the probability of future events occurring. Many …

… strategy based on deep reinforcement learning for highly agile … such as observation, cargo
transportation, cinematic shooting, … started using drones in late 2018, and 7% planned to use …

… nuclear power projects is delays due to licensing activities, … The CANDU 9 heat transport
system is essentially the same … plant state and system event occurrences while providing a fast, …

… feasible ways to apply machine learning to wireless channel … now, including intelligent
transportation, envi鄄 ronment … Channel parameters including delay, angles of depar鄄 ture …

… that can mitigate soft errors in caches with lower costs than … sentences; and a machine
learning approach to aggregate the … basic law of an emergence phenomenon. However, because …

… equilibrium point independent of time delays was obtained. This sufficient … A combined method
to evaluate the road transport terminal … help to reduce the grain loss rate and impurity rate. …