Ai Feedback
Exact(7)
Links are formed between nodes based on the preferential attachment model described by [11].
The method distributes particles between nodes based on the spatial decomposition strategy to reduce inter-node communication costs.
Range-based schemes estimate a node's location through measuring the distance or relative angle between nodes based on received signal.
It utilizes the communication opportunities arising from node movement to forward messages in a hop-by-hop way, and implements communications between nodes based on the manner of storing carrying forwarding transmission.
Range-based schemes employ range information via ranging [5], a process measuring the distance or relative angle between nodes based on received signal strength (RSS) [6], time of arrival (TOA) [7], time difference of arrival (TDOA) [8], or angle of arrival (AOA) [9].
The directed edges of the FIN correspond to directed connections between nodes, based on the FLN.
Similar(53)
PSNs are generated by considering amino acids as nodes and edges are constructed between these nodes based on the non-covalent interaction strengths between them.
In the CIPHER-HIT method, we present a new closeness measure between two nodes based on the Mean-Hitting-Time of the random walk on the heterogeneous network.
The gene g is close to some disease-causing genes associated with p. 2. The gene g is close to some phenotypes which are highly similar to p. Hence one key point is to define the closeness between two nodes in the network, and this will be used to measure the similarity between the nodes based on the network topology [ 1, 2].
Therefore, we need to maximise the minimum SNR between the two nodes based on the equivalent channel.
Current Machine-to-Machine (M2 M) communication standardization efforts try to formalize the interfaces between M2 M nodes based on the perspective of exchanging uniform small data size with low sampling rate only.
Related(20)
between locations based on
between networks based on
between components based on
between disciplines based on
between modules based on
between microbes based on
between learners based on
between results based on
between characters based on
between conclusions based on
between utterances based on
between mediums based on
between students based on
between signals based on
between actions based on
between articles based on
between clusters based on
between pieces based on
between packets based on
between states based on
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com