DystoniaBoTXNet: Novel Neural Network Biomarker of Botulinum Toxin Efficacy in Isolated Dystonia
Sign Up to like & getrecommendations! Published in 2022 at "Annals of Neurology"
DOI: 10.1002/ana.26558
Abstract: Isolated dystonia is characterized by abnormal, often painful, postures and repetitive movements due to sustained or intermittent involuntary muscle contractions. Botulinum toxin (BoTX) injections into the affected muscles are the first line of therapy. However,… read more here.
Keywords: novel neural; dystoniabotxnet novel; isolated dystonia; efficacy ... See more keywords
The application of a novel neural network in the detection of phishing websites
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-0786-3
Abstract: In recent years, security incidents of website occur increasingly frequently, and this motivates us to study websites’ security. Although there are many phishing detection approaches to detect phishing websites, the detection accuracy has not been… read more here.
Keywords: phishing detection; detection; detection model; phishing websites ... See more keywords
A novel neural optimal control framework with nonlinear dynamics: Closed-loop stability and simulation verification
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.05.051
Abstract: Abstract In this paper, we focus on developing adaptive optimal regulators for a class of continuous-time nonlinear dynamical systems through an improved neural learning mechanism. The main objective lies in that establishing an additional stabilizing… read more here.
Keywords: control; novel neural; stability; closed loop ... See more keywords
A Novel Neural Network for Generally Constrained Variational Inequalities
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2016.2570257
Abstract: This paper presents a novel neural network for solving generally constrained variational inequality problems by constructing a system of double projection equations. By defining proper convex energy functions, the proposed neural network is proved to… read more here.
Keywords: constrained variational; network; proposed neural; generally constrained ... See more keywords
A Novel Neural Networks Ensemble Approach for Modeling Electrochemical Cells
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2827307
Abstract: Accurate modeling of electrochemical cells is nowadays mandatory for achieving effective upgrades in the fields of energetic efficiency and sustainable mobility. Indeed, these models are often used for performing accurate State-of-Charge (SoC) estimations in energy… read more here.
Keywords: novel neural; modeling electrochemical; neural networks; electrochemical cells ... See more keywords
A Novel Neural-Network-Based Adaptive Control Scheme for Output-Constrained Stochastic Switched Nonlinear Systems
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2017.2777472
Abstract: In this paper, a novel neural-network (NN)-based adaptive tracking controller design method is presented for the single-input/single-output nonlinear stochastic switched systems in lower triangular structures with an output constraint. First, a well-designed nonlinear mapping is… read more here.
Keywords: neural network; novel neural; network based; based adaptive ... See more keywords
DeepCompNet: A Novel Neural Net Model Compression Architecture
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2213273
Abstract: The emergence of powerful deep learning architectures has resulted in breakthrough innovations in several fields such as healthcare, precision farming, banking, education, and much more. Despite the advantages, there are limitations in deploying deep learning… read more here.
Keywords: novel neural; deepcompnet novel; neural net; model ... See more keywords
Use of an invertebrate animal model (Aplysia californica) to develop novel neural interfaces for neuromodulation
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.1080027
Abstract: New tools for monitoring and manipulating neural activity have been developed with steadily improving functionality, specificity, and reliability, which are critical both for mapping neural circuits and treating neurological diseases. This review focuses on the… read more here.
Keywords: novel neural; aplysia californica; use invertebrate; aplysia ... See more keywords