Dr Shuai Li has long-term experience in analyzing data from twin and family studies, including the novel epigenomic data. His PhD uses twin and family studies to research DNA methylation. He has published more than 10 papers on epigenetic epidemiological studies, specializing in twin and family designs.
8 résultat(s)
Télécharger le livre : Robot Control and Calibration
Long Jin , Shuai Li , Zhibin Li , Xin Luo
Robot Control and Calibration
This book mainly shows readers how to calibrate and control robots. In this regard, it proposes three control schemes: an error-summation enhanced Newton algorithm for model predictive control; RNN for solving perturbed time-varying underdetermined linear systems; and a...
Editeur : Springer
Parution : 2023-09-25

Format(s) : PDF, ePub
52,74 €
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Télécharger le livre : Twin and Family Studies of Epigenetics
John Hopper , Shuai Li , Trygve O. Tollefsbol
Twin and Family Studies of Epigenetics
Twin and Family Studies of Epigenetics, Volume 27, the latest release in the Translational Epigenetics series, gathers expert opinions on epigenetic twin and family study research methods, recent findings across various disease areas, and future directions. The book...
Editeur : Academic Press
Parution : 2021-08-19

Format(s) : epub sans DRM
163,52 €
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Télécharger le livre : Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach
Xinwei Cao , Ameer Hamza Khan , Shuai Li
Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach
In this book, the authors focus on three aspects related to the development of articulated agents: presenting an overview of high-level control algorithms for intelligent decision-making of articulated agents, experimental study of the properties of soft...
Editeur : Springer
Parution : 2020-10-29

Format(s) : PDF, ePub
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Télécharger le livre : Machine Behavior Design And Analysis
Shuai Li , Yinyan Zhang
Machine Behavior Design And Analysis
In this book, we present our systematic investigations into consensus in multi-agent systems. We show the design and analysis of various types of consensus protocols from a multi-agent perspective with a focus on min-consensus and its variants. We also discuss...
Editeur : Springer
Parution : 2020-03-13

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94,94 €
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Télécharger le livre : Deep Reinforcement Learning with Guaranteed Performance
Shuai Li , Yinyan Zhang , Xuefeng Zhou
Deep Reinforcement Learning with Guaranteed Performance
This book discusses methods and algorithms for the near-optimal adaptive control of nonlinear systems, including the corresponding theoretical analysis and simulative examples, and presents two innovative methods for the redundancy resolution of redundant manipulators...
Editeur : Springer
Parution : 2019-11-09
Collection : Studies in Systems, Decision and Control
Format(s) : PDF, ePub
126,59 €
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Télécharger le livre : Kinematic Control of Redundant Robot Arms Using Neural Networks
Long Jin , Shuai Li , Mohammed Aquil Mirza
Kinematic Control of Redundant Robot Arms Using Neural Networks
Presents pioneering and comprehensive work on engaging movement in robotic arms, with a specific focus on neural networks This book presents and investigates different methods and schemes for the control of robotic arms whilst exploring the field from all angles. On a...
Editeur : Wiley-IEEE Press
Parution : 2019-02-12
Collection : IEEE Press
Format(s) : PDF, ePub
122,33 €
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Télécharger le livre : Neural Networks for Cooperative Control of Multiple Robot Arms
Shuai Li , Yinyan Zhang
Neural Networks for Cooperative Control of Multiple Robot Arms
This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated...
Editeur : Springer
Parution : 2017-10-29
Collection : SpringerBriefs in Applied Sciences and Technology
Format(s) : PDF, ePub
52,74 €
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Télécharger le livre : Competition-Based Neural Networks with Robotic Applications
Long Jin , Shuai Li
Competition-Based Neural Networks with Robotic Applications
Focused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Specifically, it defines four different classes of centralized models for...
Editeur : Springer
Parution : 2017-05-30

Format(s) : PDF, ePub
52,74 €
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