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Advanced Machine Learning with Evolutionary and Metaheuristic Techniques / / edited by Jayaraman Valadi, Krishna Pratap Singh, Muneendra Ojha, Patrick Siarry
| Advanced Machine Learning with Evolutionary and Metaheuristic Techniques / / edited by Jayaraman Valadi, Krishna Pratap Singh, Muneendra Ojha, Patrick Siarry |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (X, 362 p. 1 illus.) |
| Disciplina | 006.31 |
| Collana | Computational Intelligence Methods and Applications |
| Soggetto topico |
Machine learning
Medical informatics Machine Learning Health Informatics |
| ISBN | 981-9997-18-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. From Evolution to Intelligence: Exploring the Synergy of Optimization and Machine Learning -- Chapter 2. Metaheuristic and Evolutionary Algorithms in Ex-plainable Artificial Intelligence -- Chapter 3. Evolutionary Dynamic Optimization and Machine Learning -- Chapter 4. Evolutionary Techniques in making Efficient Deep-Learning Framework: A Review -- Chapter 5. Integrating Particle Swarm Optimization with Reinforcement Learning: A Promising Approach to Optimization -- Chapter 6. Synergies between Natural Language Processing and Swarm Intelligence Optimization: A Comprehensive Overview -- Chapter 7. Heuristics-based Hyperparameter Tuning for Transfer Learning Algorithms -- Chapter 8. Machine Learning Applications of Evolutionary and Metaheuristic Algorithms -- Chapter 9. Machine Learning Assisted Metaheuristic Based Optimization of Mixed Suspension Mixed Product Removal Process -- Chapter 10. Machine Learning based Intelligent RPL Attack Detection System for IoT Networks -- Chapter 11. Shallow and Deep Evolutionary Neural Networks applications in Solid Mechanics -- Chapter 12. Polymer and nanocomposite Informatics: Recent Applications of Artificial Intelligence and Data Repositories -- Chapter 13. Synergistic combination of machine learning and evolutionary and heuristic algorithms for handling imbalance in biological and biomedical datasets. |
| Record Nr. | UNINA-9910851981503321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in heuristic signal processing and applications / / Amitava Chatterjee, Hadi Nobahari, Patrick Siarry, editors
| Advances in heuristic signal processing and applications / / Amitava Chatterjee, Hadi Nobahari, Patrick Siarry, editors |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York, : Springer, 2013 |
| Descrizione fisica | 1 online resource (xv, 387 pages) : illustrations (some color) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ChatterjeeAmitava
NobahariHadi SiarryPatrick |
| Collana | Gale eBooks |
| Soggetto topico |
Heuristic algorithms
Signal processing |
| ISBN | 3-642-37880-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chap. 1: Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design -- Chap. 2: Robust Reduced-Rank Adaptive LCMV Beamforming Algorithms Based on Joint Iterative Optimization of Parameters -- Chap. 3: Designing OFDM Radar Waveform for Target Detection Using Multiobjective Optimization -- Chap. 4: Multiobject Tracking using Particle Swarm Optimization on Target Interactions -- Chap. 5: A Comparative Study of Modified BBO Variants and Other Metaheuristics for Optimal Power Allocation in Wireless Sensor Networks -- Chap. 6: Joint Optimization of Detection and Tracking in Adaptive Radar Systems -- Chap. 7: Iterative Design of FIR Filters -- Chap. 8: A Metaheuristic Approach to Two-Dimensional Recursive Digital Filter Design -- Chap. 9: A Survey of Kurtosis Optimization Schemes for MISO Source Separation and Equalization -- Chap. 10: Swarm Intelligence Techniques Applied to Nonlinear Systems State Estimation -- Chap. 11: Heuristic Optimal Design of Multiplier-less Digital Filter -- Chap. 12: Hybrid Correlation-Neural Network Synergy for Gait Signal Classification -- Chap. 13: Image Denoising Using Wavelets: Application in Medical Imaging -- Chap. 14: Signal Separation with A Priori Knowledge Using Sparse Representation -- Chap. 15: Definition of a Discrete Color Monogenic Wavelet Transform -- Chap. 16: On Image Matching and Feature Tracking for Embedded Systems: State of the Art. |
| Record Nr. | UNINA-9910739457303321 |
| New York, : Springer, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Metaheuristics in Process Engineering / / edited by Jayaraman Valadi, Patrick Siarry
| Applications of Metaheuristics in Process Engineering / / edited by Jayaraman Valadi, Patrick Siarry |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (451 p.) |
| Disciplina | 660.28 |
| Soggetto topico |
Artificial intelligence
Computational intelligence Chemical engineering Artificial Intelligence Computational Intelligence Industrial Chemistry/Chemical Engineering |
| ISBN | 3-319-06508-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Metaheuristics in Process Engineering: A Historical Perspective -- Applications of Genetic Algorithms in Chemical Engineering I: Methodology -- Applications of Genetic Algorithms in Chemical Engineering II: Case Studies -- Strategies for Evolutionary Data-Driven Modeling in Chemical and Metallurgical Systems -- Swarm Intelligence in Pulp and Paper Process Optimization -- Particle Swarm Optimization Technique for Optimal Design of Plate Type Distillation Column -- Reliable Optimal Control of a Fed-Batch Fermentation Process Using Ant Colony Optimisation and Bootstrap Aggregated Neural Network Models -- Biogeography-Based Optimization (BBO) for Dynamic Optimization of Chemical Reactors -- Biogeography-Based Optimization (BBO) Algorithm for Optimization of Heat Exchangers -- Optimization Heuristics Mimicking Chemical Processes -- In Silico Maturation: Processing Sequences to Improve Biopolymer Function Based on Genetic Algorithms -- Molecular Engineering of Electrically Conducting Polymers Using Artificial Intelligence Methods -- Applications of Genetic Algorithms in QSAR/QSPR Modeling -- Genetic Algorithms in Drug Design: A Not So Old Story in a Newer Bottle -- Multi objective Genetic Algorithms for Chemical Engineering Applications -- A Multi objective Modelling and Optimization Framework for Operations Management of a Fresh Fruit Supply Chain: A Case Study on a Mexican Lime Company -- Jumping Gene Adaptations of NSGA-II with Altruism Approach: Performance Comparison and Application to Williams-Otto Process -- Hybrid Approach for Multi objective Optimization and Its Application to Process Engineering Problems. |
| Record Nr. | UNINA-9910298971603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Machine Learning and Data Analytics [[electronic resource] ] : 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers / / edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry
| Applied Machine Learning and Data Analytics [[electronic resource] ] : 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers / / edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry |
| Autore | Jabbar M. A |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (252 pages) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
Ortiz-RodríguezFernando
TiwariSanju SiarryPatrick |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Application software Image processing—Digital techniques Computer vision Database management Artificial Intelligence Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Database Management |
| Soggetto non controllato | Science |
| ISBN | 3-031-34222-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep Learning Methods to Automate Embryo Classification and Evaluation -- Univariate feature fitness measures for classification problems: An empirical assessment -- Securing Advanced Metering Infrastructure using Blockchain for Effective Energy Trading -- Keratoconus Classification using Feature Selection and Machine Learning Approach -- Semantic Segmentation of The Lung to Examine the Effect of COVID-19 using UNET Model -- SMDKGG: A Socially Aware Meta Data Driven Knowledge Graph Generation for Disaster Tweets -- Brain MRI Image Classification using Deep Learning -- A Real Time Face Recognition Attendance using Machine Learning -- Towards abalone differentiation through machine learning -- Better Qualitative Searching for Effecting the Performance of Machine Translation -- RU-Net: A Novel Approach for Gastro-Intestinal Tract Image Segmentation using Convolutional Neural Network -- A credit card fraud detection model using machine learning methods with a hybrid of undersampling and oversampling for handling imbalanced datasets for high scores -- Implementation of YOLOv7 Model for Pest Detection -- Online Grocery Shopping: - Key Factors to Understand Shopping Behavior from Data Analytics Perspective -- A novel approach: Semantic web enabled subject searching for Union Catalogue -- How People in South America is Facing Monkeypox Outbreak? -- Multi-level Classification of Satellite Images using Pre-trained AlexNet Architecture -- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning -- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning -- Performance evaluation of Smart Flower Optimization Algorithm over Industrial Non-Convex Constrained Optimization Problems. |
| Record Nr. | UNISA-996546829903316 |
Jabbar M. A
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Applied Machine Learning and Data Analytics : 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers / / edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry
| Applied Machine Learning and Data Analytics : 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers / / edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry |
| Autore | Jabbar M. A |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (252 pages) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
Ortiz-RodríguezFernando
TiwariSanju SiarryPatrick |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Application software Image processing—Digital techniques Computer vision Database management Artificial Intelligence Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Database Management |
| Soggetto non controllato | Science |
| ISBN | 3-031-34222-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep Learning Methods to Automate Embryo Classification and Evaluation -- Univariate feature fitness measures for classification problems: An empirical assessment -- Securing Advanced Metering Infrastructure using Blockchain for Effective Energy Trading -- Keratoconus Classification using Feature Selection and Machine Learning Approach -- Semantic Segmentation of The Lung to Examine the Effect of COVID-19 using UNET Model -- SMDKGG: A Socially Aware Meta Data Driven Knowledge Graph Generation for Disaster Tweets -- Brain MRI Image Classification using Deep Learning -- A Real Time Face Recognition Attendance using Machine Learning -- Towards abalone differentiation through machine learning -- Better Qualitative Searching for Effecting the Performance of Machine Translation -- RU-Net: A Novel Approach for Gastro-Intestinal Tract Image Segmentation using Convolutional Neural Network -- A credit card fraud detection model using machine learning methods with a hybrid of undersampling and oversampling for handling imbalanced datasets for high scores -- Implementation of YOLOv7 Model for Pest Detection -- Online Grocery Shopping: - Key Factors to Understand Shopping Behavior from Data Analytics Perspective -- A novel approach: Semantic web enabled subject searching for Union Catalogue -- How People in South America is Facing Monkeypox Outbreak? -- Multi-level Classification of Satellite Images using Pre-trained AlexNet Architecture -- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning -- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning -- Performance evaluation of Smart Flower Optimization Algorithm over Industrial Non-Convex Constrained Optimization Problems. |
| Record Nr. | UNINA-9910728389403321 |
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Jabbar M. A
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence and data mining in healthcare / / Malek Masmoudi, Bassem Jarboui, Patrick Siarry, editors
| Artificial intelligence and data mining in healthcare / / Malek Masmoudi, Bassem Jarboui, Patrick Siarry, editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XIX, 195 p. 62 illus., 39 illus. in color.) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Computational intelligence Health services administration |
| ISBN | 3-030-45240-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence for Healthcare Logistics: An Overview and Research Agenda -- Synergy Between Predictive Mining and Prescriptive Planning of Complex Patient Pathways Considering Process Discrepancies for Effective Hospital-Wide Decision Support -- Real-Time Capacity Management and Patient Flow Optimization in Hospitals Using AI Methods -- How Healthcare Expenditure Influences Life Expectancy: Case Study on Russian Regions -- Operating Theater Management System: Block-Scheduling -- An Immune Memory and a Negative Selection to Visualize Clinical Pathways from Electronic Health Records -- Optimized Medical Images Compression for Telemedicine Applications -- Online Variational Learning Using Finite Generalized Inverted Dirichlet Mixture Model with Feature Selection on Medical Data Sets -- Entropy-Based Variational Inference for Semi-bounded Data Clustering in Medical Applications. |
| Record Nr. | UNINA-9910484525103321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence and data mining in healthcare / / Malek Masmoudi, Bassem Jarboui, Patrick Siarry, editors
| Artificial intelligence and data mining in healthcare / / Malek Masmoudi, Bassem Jarboui, Patrick Siarry, editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XIX, 195 p. 62 illus., 39 illus. in color.) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Computational intelligence Health services administration |
| ISBN | 3-030-45240-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence for Healthcare Logistics: An Overview and Research Agenda -- Synergy Between Predictive Mining and Prescriptive Planning of Complex Patient Pathways Considering Process Discrepancies for Effective Hospital-Wide Decision Support -- Real-Time Capacity Management and Patient Flow Optimization in Hospitals Using AI Methods -- How Healthcare Expenditure Influences Life Expectancy: Case Study on Russian Regions -- Operating Theater Management System: Block-Scheduling -- An Immune Memory and a Negative Selection to Visualize Clinical Pathways from Electronic Health Records -- Optimized Medical Images Compression for Telemedicine Applications -- Online Variational Learning Using Finite Generalized Inverted Dirichlet Mixture Model with Feature Selection on Medical Data Sets -- Entropy-Based Variational Inference for Semi-bounded Data Clustering in Medical Applications. |
| Record Nr. | UNISA-996464502603316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Artificial Intelligence: Theories and Applications [[electronic resource] ] : First International Conference, ICAITA 2022, Mascara, Algeria, November 7–8, 2022, Revised Selected Papers / / edited by Mohammed Salem, Juan Julián Merelo, Patrick Siarry, Rochdi Bachir Bouiadjra, Mohamed Debakla, Fatima Debbat
| Artificial Intelligence: Theories and Applications [[electronic resource] ] : First International Conference, ICAITA 2022, Mascara, Algeria, November 7–8, 2022, Revised Selected Papers / / edited by Mohammed Salem, Juan Julián Merelo, Patrick Siarry, Rochdi Bachir Bouiadjra, Mohamed Debakla, Fatima Debbat |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XIII, 304 p. 126 illus., 95 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Image processing—Digital techniques Computer vision Computer science—Mathematics Information storage and retrieval systems Computer networks Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Mathematics of Computing Information Storage and Retrieval Computer Communication Networks |
| ISBN | 3-031-28540-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910682553303321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence: Theories and Applications [[electronic resource] ] : First International Conference, ICAITA 2022, Mascara, Algeria, November 7–8, 2022, Revised Selected Papers / / edited by Mohammed Salem, Juan Julián Merelo, Patrick Siarry, Rochdi Bachir Bouiadjra, Mohamed Debakla, Fatima Debbat
| Artificial Intelligence: Theories and Applications [[electronic resource] ] : First International Conference, ICAITA 2022, Mascara, Algeria, November 7–8, 2022, Revised Selected Papers / / edited by Mohammed Salem, Juan Julián Merelo, Patrick Siarry, Rochdi Bachir Bouiadjra, Mohamed Debakla, Fatima Debbat |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XIII, 304 p. 126 illus., 95 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Image processing—Digital techniques Computer vision Computer science—Mathematics Information storage and retrieval systems Computer networks Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Mathematics of Computing Information Storage and Retrieval Computer Communication Networks |
| ISBN | 3-031-28540-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996547949603316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Big Data Analytics in Healthcare / / edited by Anand J. Kulkarni, Patrick Siarry, Pramod Kumar Singh, Ajith Abraham, Mengjie Zhang, Albert Zomaya, Fazle Baki
| Big Data Analytics in Healthcare / / edited by Anand J. Kulkarni, Patrick Siarry, Pramod Kumar Singh, Ajith Abraham, Mengjie Zhang, Albert Zomaya, Fazle Baki |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XI, 187 p. 55 illus., 37 illus. in color.) |
| Disciplina |
006.3
005.7 |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Artificial intelligence Big data Health care management Health services administration Computational Intelligence Artificial Intelligence Big Data Health Care Management |
| ISBN | 3-030-31672-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Big data analytics and its benefits in Health care -- Elements of Healthcare Big Data Analytics -- Big Data in Supply Chain Management and Medicinal Domain -- A Review of Big Data and its Applications in Healthcare and Public Sector- Innovative mHealth Solution for Reliable Patient Data Empowering Rural Health Care in Developing Countries -- Big Data Analytics in Healthcare using Spreadsheets. |
| Record Nr. | UNINA-9910484307403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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