Machine Learning and Mechanics Based Soft Computing Applications 1st Edition Thi Dieu Linh Nguyen – Ebook Instant Download/Delivery ISBN(s): 9789811964497,9789811964503,9811964491,9811964505
Product details:
- ISBN 13: 9789811964497
- Author: Thi Dieu Linh Nguyen
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.
Table contents:
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 student’s 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.
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