Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems

Inbunden, Engelska, 2022

AvEssam Halim Houssein,Mohamed Abd Elaziz,Diego Oliva,Laith Abualigah

1 979 kr

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This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems.

Produktinformation

Utgivningsdatum2022-06-05
Mått155 x 235 x 33 mm
Vikt928 g
FormatInbunden
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor497
FörlagSpringer Nature Switzerland AG
ISBN9783030990787

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it

Combined Optimization Algorithms for Incorporating DG in Distribution Systems.- Intelligent computational models for cancer diagnosis: A Comprehensive Review.- Elitist-Ant System metaheuristic for ITC 2021- Sports Timetabling.- Swarm intelligence algorithms-based Machine Learning Framework for Medical Diagnosis: A Comprehensive Review.- Aggregation of Semantically Similar News Articles with the help of Embedding Techniques and Unsupervised Machine Learning Algorithms: A Machine Learning Application with Semantic Technologies.- Integration of Machine Learning and Optimization Techniques for Cardiac Health Recognition.- Metaheuristics for Parameter Estimation of Solar Photovoltaic Cells: A Comprehensive Review.- Big Data Analysis using Hybrid Meta-heuristic Optimization Algorithm and MapReduce Framework.- Deep Neural Network for Virus Mutation Prediction: A Comprehensive Review.- 2D Target/Anomaly Detection in Time Series Drone Images using Deep Few-Shot Learning in Small Training Dataset.- Hybrid Adaptive Moth-Flame Optimizer and Opposition-Based Learning for Training Multilayer Perceptrons.- Early Detection of Coronary Artery Disease Using a PSO-based Neuroevolution Model.- Review for meta-heuristic optimization propels machine learning computations execution on spam comment area under digital security aegis region.- Solving reality based optimization trajectory problems with different metaphor inspired metaheuristic algorithms.- Parameter Tuning of PID controller Based on Arithmetic Optimization Algorithm in IOT systems.- Testing and Analysis of Predictive Capabilities of Machine Learning Algorithms.- AI Based Technologies for Digital and Banking Fraud During COVID -19.- Gradient-Based Optimizer for structural optimization problems.- Aquila Optimizer based PSO Swarm Intelligence for IoT Task Scheduling Application in Cloud Computing

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