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and various developmental aberrations, we identified three homozygous loss-of-function mutations inSMARCD2. Using mice and zebrafish as model systems, we showed that SMARCD2 controls early steps in the differentiation of myeloid–erythroid progenitor cells.In vitro, SMARCD2 interacts with the transcript...
Maintaining constant quality parameters or monitoring time-varying set points for these metrics presents a challenge that may require modifying inputs and process variables. All large firms recognize the importance of advanced control techniques for energy conservation, throughput maximization, and cost-...
In conclusion, through genetic identification of individual termite colonies and intensive monitoring of infested structures and the surrounding landscape, our evidence suggests that chlorantraniliprole effectively protected structures in three states. Our results indicated that this soil termiticide severely impa...
deep learning; dynamic planning; LSTM-RNN; ant colony algorithm; UUV1. Introduction Today’s unmanned underwater vehicles (UUVs) face major challenges, such as complex marine environments, weakened communication signals, limited energy and endurance, limitations in perception and sensing capabilities, ...
In the context of this survey, different control approaches are investigated and the aspects of fleet control of AMR with respect to RL are evaluated. As a result, six fundamental key problems should be put on the current research agenda to enable a broader application in industry: (1) ...
(This article belongs to the Special Issue Mobile Robot Olfaction for Real-World Applications–From Disaster Response to Environmental Monitoring) Download keyboard_arrow_down Download PDF Download PDF with Cover Download XML Download Epub Browse Figures Review Reports Versions Notes Abstract In ...