Results 121 to 130 of about 1,883,513 (365)
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez+2 more
wiley +1 more source
Neural Network Adaptive Control With Long Short‐Term Memory
ABSTRACT In this study, we propose a novel adaptive control architecture that provides dramatically better transient response performance compared to conventional adaptive control methods. This is accomplished by the synergistic employment of a traditional adaptive neural network (ANN) controller and a long short‐term memory (LSTM) network.
Emirhan Inanc+4 more
wiley +1 more source
The prodrug strategy used in this study offers new promise for cancer metabolism‐based therapies. JHU083, a prodrug that, when cleaved by protease in the tumor microenvironment, yields the glutamine antagonist DON. JHU083 inhibits tumor growth by targeting glutamine‐addicted cancer cells and suppressing glutamine‐dependent M2 macrophages, leading to a ...
Tianhe Li+10 more
wiley +1 more source
In this study, a new type of bioactive glass fiber ‐based composite magnesium phosphate bone cement is prepared and verified that its mechanical strength and biological properties. In addition, the cement may have played a biologically active role in the Notch and HIF signaling pathways.
Yuzheng Lu+12 more
wiley +1 more source
In this position paper we present a novel approach to neurobiologically plausible implementation of emotional reactions and behaviors for real-time autonomous robotic systems. The working metaphor we use is the "day" and "night" phases of mammalian life. During the "day" phase a robotic system stores the inbound information and is controlled by a light-
Tchitchigin A.+3 more
openaire +4 more sources
Vision meets robotics: The KITTI dataset
Andreas Geiger+3 more
semanticscholar +1 more source
Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee+3 more
wiley +1 more source