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International Conference on Advanced Machine Learning Technologies and Applications (Amlta2018)

International Conference on Advanced Machine Learning Technologies and Applications (Amlta2018)

          
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International Edition


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About the Book

Content

Part(1) Swarm intelligence and optimzation

A Hybrid Grey Wolf-Bat Algorithm for Global Optimization

Fractional Order Sliding Mode PID Controller/Observer for Continuous Nonlinear Switched Systems with PSO Parameter Tuning

Modified Optimal Foraging Algorithm for Parameters Optimization of Support Vector Machine

Pareto based Bat Algorithm for Multi Objectives Multiple Constraints Optimization in GMPLS Networks

Fish Image Segmentation using Salp Swarm Algorithm

Swarming behaviors of chicken for predicting posts on Facebook branding pages

Enhancing AGDE algorithm using population size reduction for global numerical optimization

Simulated Annealing based Quantum Inspired Automatic Clustering Technique

Hybrid grasshopper optimization algorithm and support vector machines for automatic seizure detection in EEG Signals

A Novel Genetic Algorithm Based k-means Algorithm for Cluster Analysis

Pairwise Global Sequence Alignment using Sine-Cosine Optimization Algorithm

An automated fish species identification system based on crow search algorithm

Part(2) Fuzzy Logic and applications

Design and implementation of Fuzzy PID controller into Multi agent Smart Library System Prototype

Fuzzy Logic controller with color vision system tracking for mobile manipulator robot

Interactive Fuzzy Cellular Automata for Fast Person Re-Identification

Decision Support System for Determination of Forces Applied in Orthodontic based on Fuzzy Logic

Part (3) Advanced Machine Learning and Applications

Behaviorally-Based Textual Similarity Engine for Matching Job-Seekers with Jobs

Machine Learning: A Convergence of Emerging Technologies in Computing

Discrimination of Satellite Signals from Opencast Mining of Mineral Ores of Hematite and Uranium using Digital Image Processing and Geostatistical Algorithms

Detecting Cross-Site Scripting Attacks using Machine Learning

Text Mining Approach to Extract Associations between Obesity and Arabic Herbal Plants

A Reinforcement Learning-based Adaptive Learning System

Performance Evaluation of SVM-Based Amazighe Named Entity Recognition

Trained Neural Networks Ensembles Weight Connections Analysis

An Empirical Analysis of User Behavior for P2P IPTV Workloads

Intelligent Decision Framework to Explore And control Infection Of Hepatitis C Virus

Supervised Rainfall Learning Model using Machine Learning Algorithms

Reducing Stage Weight Estimation Error of Slow Task Detection in MapReduce Scheduling

Analysis of Complete-Link Clustering for Identifying Multi-attributes Software Quality Data

Student Profile in E-learning Environment Based on Two-Dimensional Ontologies

Comparative Sentiment Analysis on a Set of Movie Reviews using Deep Learning Approach

Medical Equipment Failure Rate Analysis Using Supervised Machine Learning

Part(4) Big data and classification

Big-Data Aggregating, Linking, Integrating and Representing using Semantic Web Technologies

Computer Aided Diagnostic System for Automatic Detection of Brain Tumor through MRI Using Clustering Based Segmentation Technique and SVM Classifier

Feature selection using Genetic algorithm for big data

Prediction of Liver Diseases Based on Machine Learning Technique for Big Data

Stance Detection in Tweets Using a Majority Vote Classifier

A Comparative Study of Classification Methods for Flash Memory Error Rate Prediction

Opinion extraction and classification of real time YouTube cooking recipes comments

A Framework for Big Da


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Product Details
  • ISBN-13: 9783319746890
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 1st ed. 2018
  • Language: English
  • Returnable: Y
  • Spine Width: 37 mm
  • Width: 156 mm
  • ISBN-10: 3319746898
  • Publisher Date: 26 Jan 2018
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 717
  • Series Title: Advances in Intelligent Systems and Computing
  • Weight: 1012 gr


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