Metaheuristics in Machine Learning: Theory and Applications - Couverture rigide

Livre 475 sur 538: Studies in Computational Intelligence
 
9783030705411: Metaheuristics in Machine Learning: Theory and Applications

Synopsis

Cross Entropy Based Thresholding Segmentation of Magnetic Resonance Prostatic Images Using Metaheuristic Algorithms.- Hyperparameter Optimization in a Convolutional Neural Network Using Metaheuristic Algorithms.- Diagnosis of collateral effects in climate change through the identification of leaf damage using a novel heuristics and machine learning framework.- Feature engineering for Machine Learning and Deep Learning assisted Wireless Communication.- Genetic operators and their impact on the training of deep neural networks.- Implementation of metaheuristics with Extreme Learning Machines.- Architecture optimization of convolutional neural networks by micro genetic algorithms.- Optimising Connection Weights in Neural Networks using a Memetic Algorithm Incorporating Chaos Theory.- A review of metaheuristic optimization algorithms for wireless sensor networks.- A Metaheuristic Algorithm for Classification of White Blood Cells in Healthcare Informatics.- A Review of multi-level thresholding image segmentation using nature-inspired optimization algorithms.- Hybrid Harris Hawks Optimization with Differential Evolution for Data Clustering.- Variable Mesh Optimization for Continuous Optimization and Multimodal Problems.- Traffic control using image processing and deep learning techniques.- Drug Design and Discovery: Theory, Applications, Open Issues and Challenges.- Thresholding algorithm applied to Chest X-Ray images with Pneumonia.- Artificial neural networks for stock market prediction: a comprehensive review.- Image classification with Convolutional Neural Networks.- Applied Machine Learning Techniques to Find Patterns and Trends in the Use of Bicycle Sharing Systems Influenced by Traffic Accidents and Violent Events in Guadalajara, Mexico.- Machine Reading Comprehension (LSTM) Review (state of art).- A Survey of Metaheuristic Algorithms for Solving Optimization Problems.- Integrating metaheuristic algorithms and minimum cross entropy for image segmentation in mist conditions.- A Machine Learning application for Particle Physics: Mexico's involvement in the Hyper- Kamiokande observatory.- A novel metaheuristic approach for Image Contrast Enhancement based on gray-scale mapping.- Geospatial Data Mining Techniques Survey.- Integration of Internet of Things and cloud computing for Cardiac health recognition.- Combinatorial Optimization for Artificial Intelligence Enabled Mobile Network Automation.- Performance Optimization of PID Controller based on Parameters Estimation using Meta-Heuristic Techniques: A Comparative Study.- Solar Irradiation Changes Detection for Photovoltaic Systems through ANN trained with a Metaheuristic Algorithm.- Genetic Algorithm based Global and Local Feature Selection Approach for Handwritten Numeral Recognition.

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Autres éditions populaires du même titre

9783030705442: Metaheuristics in Machine Learning: Theory and Applications

Edition présentée

ISBN 10 :  3030705447 ISBN 13 :  9783030705442
Editeur : Springer Nature Switzerland AG, 2022
Couverture souple