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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  
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
Jabbar M. A  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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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Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design / / edited by Mourad Fakhfakh, Esteban Tlelo-Cuautle, Patrick Siarry
Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design / / edited by Mourad Fakhfakh, Esteban Tlelo-Cuautle, Patrick Siarry
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (500 p.)
Disciplina 004
Soggetto topico Computer hardware
Computational intelligence
Electrical engineering
Electronic circuits
Computer Hardware
Computational Intelligence
Electrical Engineering
Electronic Circuits and Devices
ISBN 3-319-19872-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto I-Flows: A Novel Approach to Computational Intelligence for Analog Circuit Design Automation Through Symbolic Data Mining and Knowledge-Intensive Reasoning -- Automatic Synthesis of Analog Integrated Circuits Including Efficient Yield Optimization -- Application of Computational Intelligence Techniques to Maximize Unpredictability in Multiscroll Chaotic Oscillators -- Optimization and Cosimulation of an Implantable Telemetric System by Linking System Models to Nonlinear Circuits -- Framework for Formally Verifying Analog and Mixed Signal Designs -- Automatic Layout Optimizations for Integrated MOSFET Power Stages -- Optimizing Model Precision in High Temperatures for Efficient Analog and Mixed-Signal Circuit Design Using Modern Behavioral Modeling Techniques: an Industrial Case Study -- Nonlinearities Behavioral Modeling and Analysis of Pipelined ADC Building Blocks -- SMAS: A Generalized and Efficient Framework for Computationally Expensive Electronic Design Optimization Problems -- Computational Intelligence Techniques for Determining Optimal Performance Tradeoffs for RF inductors -- RF IC Performance Optimization by Synthesizing Optimum Inductors -- Optimization of RF On-Chip Inductors Using Genetic Algorithms -- Automated System-Level Design for Reliability: RF Front-End Application -- The Backtracking Search for the Optimal Design of Low-Noise Amplifiers -- Design of Telecommunications Receivers Using Computational Intelligence Techniques -- Enhancing Automation in RF Design Using Hardware Abstraction -- Optimization Methodology Based on IC Parameter for the Design of Radio-Frequency Circuits in CMOS Technology.
Record Nr. UNINA-9910299249303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui