Regularization-based independent control of an external electromagnetic actuator to avoid singularity in the spatial manipulation of a microrobot
Sign Up to like & getrecommendations! Published in 2020 at "Control Engineering Practice"
DOI: 10.1016/j.conengprac.2020.104340
Abstract: Abstract This paper proposes a regularization-based independent electromagnetic field control methodology of an external electromagnetic actuator (EMA) for untethered medical microrobot manipulation. The EMA developed in this study consists of six stationary air-filled coils in… read more here.
Keywords: field; control; regularization based; singularity ... See more keywords
Structured Sparse Regularization-Based Deep Fuzzy Networks for RNA N6-Methyladenosine Sites Prediction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2024.3428402
Abstract: In many biological processes, N6-methyladenosine (m6A) plays a critical role. Experimental methods for identifying m6A sites have proven to be costly, and existing computational methods still require improvement. To address these challenges, we develop a… read more here.
Keywords: deep fuzzy; regularization based; sparse regularization; network ... See more keywords
Regularization-based pruning of irrelevant weights in deep neural architectures
Sign Up to like & getrecommendations! Published in 2022 at "Applied Intelligence"
DOI: 10.48550/arxiv.2204.04977
Abstract: Deep neural networks exploiting million parameters are currently the norm. This is a potential issue because of the great number of computations needed for training, and the possible loss of generalization performance of overparameterized networks.… read more here.
Keywords: pruning irrelevant; deep neural; regularization; based pruning ... See more keywords