The translation of personal genomics to precision medicine depends on the accurate
interpretation of the multitude of genetic variants observed for each individual. However, even …

Structural rules underlying functional properties of cortical circuits are poorly understood. To
explore these rules systematically, we integrated information from extensive literature …

Different from gradient-based neural networks, a special kind of recurrent neural network (RNN)
has recently been proposed by Zhang for online matrix inversion. Such an RNN is …

In recent years, remarkable achievements have been made in artificial intelligence tasks
and applications based on deep neural networks (DNNs), especially in the fields of vision, …

Zhang neural networks (ZNN), a special kind of recurrent neural networks (RNN) with
implicit dynamics, have recently been introduced to generalize to the solution of online time-…

To solve the inverse kinematic problem of redundant robot manipulators, two redundancy-resolution
schemes are investigated: one is resolved at joint-velocity level, and the other is …

This paper presents a genetic algorithm (GA)-based optimisation approach to improve
container handling operations at the Patrick AutoStrad container terminal located in Brisbane …

Experimental studies in neuroscience are producing data at a rapidly increasing rate, providing
exciting opportunities and formidable challenges to existing theoretical and modeling …

This paper investigates replanning strategies for container-transportation task allocation of
autonomous Straddle Carriers (SC) at automated container terminals. The strategies address …

Short-chain acyl-coA dehydrogenase deficiency (SCADD) is an autosomal recessive inborn
error of mitochondrial fatty acid oxidation caused by ACADS gene alterations. SCADD is a …