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Machine Learning and Mechanics Based Soft Computing Applications

Specificaties
Gebonden, blz. | Engels
Springer Nature Singapore | e druk, 2023
ISBN13: 9789811964497
Rubricering
Springer Nature Singapore e druk, 2023 9789811964497
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9789811964497
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer Nature Singapore

Inhoudsopgave

<div><p>Chapter 1 - LS-TFP: A LSTM-Based Traffic Flow Prediction Method in Intelligent Internet of Things"</p>

<p>Chapter 2 - Threshold Text Classification with Kullback-Leibler Divergence Approach </p>

<p>Chapter 3 - Cellular Automata-based Simulation Model for Water Quality Management of Pangasius Ponds</p>

<p>Chapter 4 - Deep-IDS: A lightweight Neural Network based Intrusion Detection System</p>

<p>Chapter 5 - Heuristic methods solving Markowitz Mean-Variance portfolio optimization problem</p>

<p>Chapter 6 - Context-based and Collaboration-based Product Recommendation Approaches for a Clothes Online Sale System</p>

<p>Chapter 7 - Recommendation Approaches for a Clothes Online Sale System</p>

Chapter 8 - A cost-effective control system of the biogas based electrical generator<p></p>

<p>Chapter 9 - Parallel, Distributed Model-checking of Composite Web-services with Integrated Choreography and Orchestration</p>

<p>Chapter 10 - An application of logistic regression model in the student’s academic performance</p>

<p>at HUST, Vietnam</p>

<p>Chapter 11 - Soft Robotics Fingered-Hand Based on Working Principle of Asymmetric Soft Actuator</p>

<p>Chapter 12 - Control design for 400Hz Ground Power Unit</p>

<p>Chapter 13 - Rapid design of square-spiral metamaterial for Enhanced Wireless power transfer applications using Artificial Neural Networks</p>

<p>Chapter 14 - GIS and RS application for Land use status quo mapping in 2020 and Land use change assessing in Thu Dau Mot city</p>

Chapter 15 - Particle Swarm Optimization for Acceleration Tracking Control of an Actuator System<p></p>

<p>Chapter 16 - Count the Number of Steel Bars based on Deep Learning</p>

<p>Chapter 17 - Hybrid SARIMA - GRU model based on STL for forecasting water level in Red river</p>

<p>North Vietnam</p>

<p>Chapter 18 - Activity Based Learning: An Analysis to Teach Learners Using Online Methodologies</p>

<p>Chapter 19 - Use of a Fatigue Framework to Adopt a New Normalization Strategy for Deep Learning Based Augmentation</p>

<p>Chapter 20 - An Innovative and Smart Agriculture Platform for Improving the Coffee Value Chain and Supply Chain </p>

<p>Chapter 21 - Complex Shear Imaging Based on Signal Processing and Machine Learning Algorithms</p>

Chapter 22 - Breast Cancer Detection Based on UWB Dataset And Machine Learning<p></p>

<p>Chapter 23 - A review of mathematical methods for flexible robot dynamics modeling and simulation</p>

<p>Chapter 24 - Digital Twins of Robotic Systems: Increasing capability for industrial applications</p>

<p>Chapter 25 - Optimal Motion for Humanoid Robotic Arms using Kinect Camera</p>

<p>Chapter 26 - 6G Wireless Communication Systems and Its Applications</p>

<p>Chapter 27 - Compensation Techniques for Non-linear effects using NG-RoF-DSP: A Review</p>

<p>Chapter 28 - An IoT solution designed for remote automatic control and supervisor systems to key environmental factors and diseases in coffee farms in Vietnam</p>

<p>Chapter 29 - Artificial Intelligence As a Strategic partner to HRM 4.0</p></div>

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        Machine Learning and Mechanics Based Soft Computing Applications