This book highlights recent advances in the area of machine learning and robotics-based soft computing applications. The book covers various artificial intelligence, machine learning, and mechanics, a mix of mechanical computational engineering work. The current computing era has a huge market/potential for machine learning, robotics, and soft computing techniques and their applications. With this in view, the book shares latest research and cutting-edge applications useful for professionals and researchers in these areas.
Chapter 1 - LS-TFP: A LSTM-Based Traffic Flow Prediction Method in
Intelligent Internet of Things.
Chapter 2 - Threshold Text Classification
with Kullback-Leibler Divergence Approach.
Chapter 3 - Cellular
Automata-based Simulation Model for Water Quality Management of Pangasius
Ponds.
Chapter 4 - Deep-IDS: A lightweight Neural Network based Intrusion
Detection System.
Chapter 5 - Heuristic methods solving Markowitz
Mean-Variance portfolio optimization problem.
Chapter 6 - Context-based and
Collaboration-based Product Recommendation Approaches for a Clothes Online
Sale System.
Chapter 7 - Recommendation Approaches for a Clothes Online Sale
System.
Chapter 8 - A cost-effective control system of the biogas based
electrical generator.
Chapter 9 - Parallel, Distributed Model-checking of
Composite Web-services with Integrated Choreography and Orchestration.-
Chapter 10 - An application of logistic regression model in the students
academic performance at HUST, Vietnam.
Chapter 11 -Soft Robotics
Fingered-Hand Based on Working Principle of Asymmetric Soft Actuator.-
Chapter 12 - Control design for 400Hz Ground Power Unit.
Chapter 13 - Rapid
design of square-spiral metamaterial for Enhanced Wireless power transfer
applications using Artificial Neural Networks.
Chapter 14 - GIS and RS
application for Land use status quo mapping in 2020 and Land use change
assessing in Thu Dau Mot city.
Chapter 15 - Particle Swarm Optimization for
Acceleration Tracking Control of an Actuator System.
Chapter 16 - Count the
Number of Steel Bars based on Deep Learning.
Chapter 17 - Hybrid SARIMA -
GRU model based on STL for forecasting water level in Red river North
Vietnam.
Chapter 18 - Activity Based Learning: An Analysis to Teach Learners
Using Online Methodologies.
Chapter 19 - Use of a Fatigue Framework to Adopt
a New Normalization Strategy for Deep Learning Based Augmentation.
Chapter
20 - An Innovative and Smart Agriculture Platform for Improving the Coffee
Value Chain and Supply Chain.
Chapter 21 - Complex Shear Imaging Based on
Signal Processing and Machine Learning Algorithms.
Chapter 22 - Breast
Cancer Detection Based on UWB Dataset And Machine Learning.
Chapter 23 - A
review of mathematical methods for flexible robot dynamics modeling and
simulation.
Chapter 24 - Digital Twins of Robotic Systems: Increasing
capability for industrial applications.
Chapter 25 - Optimal Motion for
Humanoid Robotic Arms using Kinect Camera.
Chapter 26 - 6G Wireless
Communication Systems and Its Applications.
Chapter 27 - Compensation
Techniques for Non-linear effects using NG-RoF-DSP: A Review.
Chapter 28 -
An IoT solution designed for remote automatic control and supervisor systems
to key environmental factors and diseases in coffee farms in Vietnam.-
Chapter 29 - Artificial Intelligence As a Strategic partner to HRM 4.0.
Dr. Thi Dieu Linh Nguyen is Deputy Head of Science and Technology Department, Hanoi University of Industry, Vietnam (HaUI). She has more than 20 years of academic experience in electronics, IoT, smart garden, and telecommunication. She received Ph.D. in Information and Communication Engineering from Harbin Institute of Technology, Harbin, China, in 2013; she has authored or co-authored many research articles that are published in journals, books, and conference proceedings. She is editor for many books and also a board member for the International Journal of Hyperconnectivity and the Internet of Things (IJHIoT) IGI Global, USA; Information Technology Journal; Mobile Networks and Application Journal and some other reputed journals and international conferences. She has attended many conferences as keynote speaker, conference chair, guest honor; and chaired many technical events in different universities in Vietnam. She can be contacted at nguyen.linh@haui.edu.vn / nguyenlinh79.haui@gmail.com
Joan Lu is in the Department of Computer Science and is the research group leader of Information and System Engineering (ISE) in the Center of High Intelligent Computing (CHIC), having previously been a team leader in the IT department of Charlesworth Group publishing company. Professor Lu has published seven academic books and more than 200 peer-reviewed academic papers.
