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Machine Learning and Mechanics Based Soft Computing Applications

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/poten...

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Bibliográfalaš dieđut
Searvvušdahkki: SpringerLink (Online service)
Eará dahkkit: Nguyen, Thi Dieu Linh (Doaimmaheaddji), Lu, Joan (Doaimmaheaddji)
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Preanttus:1st ed. 2023.
Ráidu:Studies in Computational Intelligence, 1068
Fáttát:
Computational intelligence.
Artificial intelligence.
Robotics.
Machine learning.
Computational Intelligence.
Artificial Intelligence.
Machine Learning.
Liŋkkat:https://doi.org/10.1007/978-981-19-6450-3
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Sisdoallologahallan:
  • 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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