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Adaptive web sites [[electronic resource] ] : a knowledge extraction from web data approach / / Juan D. Velásquez and Vasile Palade
Adaptive web sites [[electronic resource] ] : a knowledge extraction from web data approach / / Juan D. Velásquez and Vasile Palade
Autore Velásquez Juan D
Pubbl/distr/stampa Amsterdam, : IOS Press, c2008
Descrizione fisica 1 online resource (296 p.)
Disciplina 006.3
Altri autori (Persone) PaladeVasile <1964->
Collana Frontiers in artificial intelligence and applications. Knowledge-based intelligent engineering systems
Soggetto topico Adaptive computing systems
Data mining
Web databases
ISBN 6611733299
1-281-73329-6
9786611733292
1-4416-1436-2
1-60750-307-7
600-00-0326-9
1-4337-1136-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Title page; Contents; Foreword; Introduction; Web data; Knowledge discovery from web data; Web information repository; Mining the Web; Web-based personalization systems; Extracting patterns from user behavior in a web site; Acquiring and maintaining knowledge extracted from web data; A framework for developing adaptive web sites; In place of conclusions; Bibliography
Record Nr. UNINA-9910782224303321
Velásquez Juan D  
Amsterdam, : IOS Press, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Adaptive web sites [[electronic resource] ] : a knowledge extraction from web data approach / / Juan D. Velásquez and Vasile Palade
Adaptive web sites [[electronic resource] ] : a knowledge extraction from web data approach / / Juan D. Velásquez and Vasile Palade
Autore Velásquez Juan D
Pubbl/distr/stampa Amsterdam, : IOS Press, c2008
Descrizione fisica 1 online resource (296 p.)
Disciplina 006.3
Altri autori (Persone) PaladeVasile <1964->
Collana Frontiers in artificial intelligence and applications. Knowledge-based intelligent engineering systems
Soggetto topico Adaptive computing systems
Data mining
Web databases
ISBN 6611733299
1-281-73329-6
9786611733292
1-4416-1436-2
1-60750-307-7
600-00-0326-9
1-4337-1136-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Title page; Contents; Foreword; Introduction; Web data; Knowledge discovery from web data; Web information repository; Mining the Web; Web-based personalization systems; Extracting patterns from user behavior in a web site; Acquiring and maintaining knowledge extracted from web data; A framework for developing adaptive web sites; In place of conclusions; Bibliography
Record Nr. UNINA-9910828728603321
Velásquez Juan D  
Amsterdam, : IOS Press, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Adolescent Brain Cognitive Development Neurocognitive Prediction [[electronic resource] ] : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru
Adolescent Brain Cognitive Development Neurocognitive Prediction [[electronic resource] ] : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XI, 188 p. 57 illus., 49 illus. in color.)
Disciplina 616.8047548
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Machine learning
Mathematical statistics
Data mining
Image Processing and Computer Vision
Machine Learning
Probability and Statistics in Computer Science
Data Mining and Knowledge Discovery
ISBN 3-030-31901-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction -- Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet -- Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction -- Surface-based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019 -- Prediction of Fluid Intelligence From T1-Weighted Magnetic Resonance Images -- Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI -- Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry -- Predict Fluid Intelligence of Adolescent Using Ensemble Learning -- Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Approach -- Predicting Fluid intelligence from structural MRI using Random Forest regression -- Nu Support Vector Machine in Prediction of Fluid Intelligence Using MRI Data -- An AutoML Approach for the Prediction of Fluid Intelligence From MRI-Derived Features -- Predicting Fluid Intelligence from MRI images with Encoder-decoder Regularization -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology -- Ensemble Modeling of Neurocognitive Performance Using MRI-derived Brain Structure Volumes -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression -- Predicting fluid intelligence using anatomical measures within functionally defined brain networks -- Sex differences in predicting fluid intelligence of adolescent brain from T1-weighted MRIs -- Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction -- Adolescent fluid intelligence prediction from regional brain volumes and cortical curvatures using BlockPC-XGBoost -- Cortical and Subcortical Contributions to Predicting Intelligence using 3D ConvNets.
Record Nr. UNISA-996466429903316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Adolescent Brain Cognitive Development Neurocognitive Prediction [[electronic resource] ] : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru
Adolescent Brain Cognitive Development Neurocognitive Prediction [[electronic resource] ] : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XI, 188 p. 57 illus., 49 illus. in color.)
Disciplina 616.8047548
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Machine learning
Mathematical statistics
Data mining
Image Processing and Computer Vision
Machine Learning
Probability and Statistics in Computer Science
Data Mining and Knowledge Discovery
ISBN 3-030-31901-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction -- Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet -- Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction -- Surface-based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019 -- Prediction of Fluid Intelligence From T1-Weighted Magnetic Resonance Images -- Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI -- Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry -- Predict Fluid Intelligence of Adolescent Using Ensemble Learning -- Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Approach -- Predicting Fluid intelligence from structural MRI using Random Forest regression -- Nu Support Vector Machine in Prediction of Fluid Intelligence Using MRI Data -- An AutoML Approach for the Prediction of Fluid Intelligence From MRI-Derived Features -- Predicting Fluid Intelligence from MRI images with Encoder-decoder Regularization -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology -- Ensemble Modeling of Neurocognitive Performance Using MRI-derived Brain Structure Volumes -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression -- Predicting fluid intelligence using anatomical measures within functionally defined brain networks -- Sex differences in predicting fluid intelligence of adolescent brain from T1-weighted MRIs -- Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction -- Adolescent fluid intelligence prediction from regional brain volumes and cortical curvatures using BlockPC-XGBoost -- Cortical and Subcortical Contributions to Predicting Intelligence using 3D ConvNets.
Record Nr. UNINA-9910349275503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advance Trends in Soft Computing [[electronic resource] ] : Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA / / edited by Mo Jamshidi, Vladik Kreinovich, Janusz Kacprzyk
Advance Trends in Soft Computing [[electronic resource] ] : Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA / / edited by Mo Jamshidi, Vladik Kreinovich, Janusz Kacprzyk
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XII, 468 p. 163 illus., 40 illus. in color.)
Disciplina 006.3
Collana Studies in Fuzziness and Soft Computing
Soggetto topico Computational intelligence
Data mining
Optical data processing
Artificial intelligence
Computational Intelligence
Data Mining and Knowledge Discovery
Computer Imaging, Vision, Pattern Recognition and Graphics
Artificial Intelligence
ISBN 3-319-03674-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Synthesis and Research of Neuro-Fuzzy Model of Ecopyrogenesis Multi-Circuit Circulatory System -- Investigation of Ordered Weighted Averaging Weights for Estimating fuzzy validity of Geometric Shapes -- Processing Quantities with Heavy-Tailed Distribution of Measurement Uncertainty:How to Estimate the Tails of the Results of Data Processing -- A Logic for Qualified Syllogisms -- Flexible Querying Using Criterion Trees -- Non-stationary Time Series Clustering with Application to Climate Systems -- A Generalized Fuzzy T-norm Formulation of Fuzzy Modularity for Community Detection in Social Networks -- Soft Computing Models in Online Real Estate -- Constraints Preserving Genetic Algorithm for Learning Fuzzy Measures with an Application to Ontology Matching -- Topology Preservation in Fuzzy Self-Organizing Maps -- Designing Type-2 Fuzzy Controllers Using Lyapunov Approach for Trajectory Tracking -- Decentralized Adaptive Fuzzy Control Applied to a Robot Manipulator -- Modeling, Planning, Decision-making and Control in Fuzzy Environment -- Knowledge Integration for Uncertainty Management -- Co-reference resolution in Persian corpora -- Real-Time Implementation of a Neural Inverse Optimal Control for a Linear Induction Motor -- Preliminary Results on a New Fuzzy Cognitive Map Structure -- Time Series Image Data Analysis for Sport Skill -- Towards Incremental A-r-Star -- Comparative Analysis of Evaluation Algorithms for Decision-Making in Transport Logistics -- Handling Big Data with Fuzzy Based Classification Approach -- OWA based Model for Talent Selection in Cricket.-Knowledge Representation in ISpace Based Man-Machine Communicatio -- An alpha-level OWA Implementation of Bounded Rationality for Fuzzy Route Selection -- Indices for Introspection of the Choquet Integral -- Artificial neural network modeling of slaughter house wastewater removal of COD and TSS by electro coagulation -- Memetic Algorithm for Solving the Task of Providing Group Anonymity, Oleg Chertov -- Takagi-Sugeno approximation of a Mamdani fuzzy system -- Alpha-Rooting Image Enhancement Using a Traditional Algorithm and Genetic Algorithm -- Learning User’s Characteristics in Collaborative Filtering Through Genetic Algorithms: Some New Results, Oswaldo Velez-Langs, Angelica De Anotonio Fuzzy Sets Can Be Interpreted as Limits of Crisp Sets and This Can Help to Fuzzify Crisp Notions -- How to Gauge Accuracy of Measurements and of Expert Estimates: Beyond Normal Distributions -- Automatic Tuning of SOM Neural Network by using Evolutionary Algorithms: An Application to the SHM Problem -- Density-Based Fuzzy Clustering as a First Step to Learning Rules: Challenges and Solutions -- Computing Covariance and Correlation in Optimally Privacy-Protected Statistical Databases: Feasible Algorithms -- Feature Selection with Fuzzy Entropy to Find Similar Cases-Computing Intensive Definition of Products, Laszlo Horvath -- PSO Optimal Tracking Control for State-Dependent Coefficient Nonlinear Systems -- Delphi-Neural Approach to Clinical Decision Making: A Preliminary Study -- Contextual bipolar queries -- Landing of a Quadcopter on a Mobile Base using Fuzzy Logic -- An Innovative Process for Qualitative Group Decision Making employing Fuzzy-Neural Decision Analyzer -- Preprocessing Method for Support Vector Machines Based on Center of.
Record Nr. UNINA-9910299487403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Agent Technology : AAMAS Workshops 2011, AMPLE, AOSE, ARMS, DOCM³AS, ITMAS, Taipei, Taiwan, May 2-6, 2011. Revised Selected Papers / / edited by Francien Dechesne, Hiromitsu Hattori, Adriaan Mors, Jose Miguel Such, Danny Weyns, Frank Dignum
Advanced Agent Technology : AAMAS Workshops 2011, AMPLE, AOSE, ARMS, DOCM³AS, ITMAS, Taipei, Taiwan, May 2-6, 2011. Revised Selected Papers / / edited by Francien Dechesne, Hiromitsu Hattori, Adriaan Mors, Jose Miguel Such, Danny Weyns, Frank Dignum
Edizione [1st ed. 2012.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Descrizione fisica 1 online resource (XX, 506 p.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computers and civilization
Computer communication systems
Data mining
User interfaces (Computer systems)
Information technology
Business—Data processing
Artificial Intelligence
Computers and Society
Computer Communication Networks
Data Mining and Knowledge Discovery
User Interfaces and Human Computer Interaction
IT in Business
ISBN 3-642-27216-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti AAMAS'11
Record Nr. UNINA-9910510603203321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Agent Technology : AAMAS Workshops 2011, AMPLE, AOSE, ARMS, DOCM³AS, ITMAS, Taipei, Taiwan, May 2-6, 2011. Revised Selected Papers / / edited by Francien Dechesne, Hiromitsu Hattori, Adriaan Mors, Jose Miguel Such, Danny Weyns, Frank Dignum
Advanced Agent Technology : AAMAS Workshops 2011, AMPLE, AOSE, ARMS, DOCM³AS, ITMAS, Taipei, Taiwan, May 2-6, 2011. Revised Selected Papers / / edited by Francien Dechesne, Hiromitsu Hattori, Adriaan Mors, Jose Miguel Such, Danny Weyns, Frank Dignum
Edizione [1st ed. 2012.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Descrizione fisica 1 online resource (XX, 506 p.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computers and civilization
Computer communication systems
Data mining
User interfaces (Computer systems)
Information technology
Business—Data processing
Artificial Intelligence
Computers and Society
Computer Communication Networks
Data Mining and Knowledge Discovery
User Interfaces and Human Computer Interaction
IT in Business
ISBN 3-642-27216-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti AAMAS'11
Record Nr. UNISA-996465992803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advanced Computer and Communication Engineering Technology [[electronic resource] ] : Proceedings of ICOCOE 2015 / / edited by Hamzah Asyrani Sulaiman, Mohd Azlishah Othman, Mohd Fairuz Iskandar Othman, Yahaya Abd Rahim, Naim Che Pee
Advanced Computer and Communication Engineering Technology [[electronic resource] ] : Proceedings of ICOCOE 2015 / / edited by Hamzah Asyrani Sulaiman, Mohd Azlishah Othman, Mohd Fairuz Iskandar Othman, Yahaya Abd Rahim, Naim Che Pee
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (1281 p.)
Disciplina 621.3819508
Collana Lecture Notes in Electrical Engineering
Soggetto topico Electrical engineering
Data mining
Artificial intelligence
Signal processing
Image processing
Speech processing systems
Microwaves
Optical engineering
Communications Engineering, Networks
Data Mining and Knowledge Discovery
Artificial Intelligence
Signal, Image and Speech Processing
Microwaves, RF and Optical Engineering
ISBN 3-319-24584-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto RWA: Novel heuristic algorithm for optical networks with dynamic traffic.- Implementation of P2P File Sharing Using Bi-directional Chord Protocol Algorithm -- Correlated Topology Control Algorithm for Survival Network in MANETS -- Performance Analysis of Multilevel Inverter Topologies for a Standalone Photovoltaic System -- Robust Iris Segmentation through Parameterization of the Chan-Vese Algorithm -- Artificial Bee Colony for Vertical-Handover in Heterogeneous Wireless Networks -- Space Division Multiplexing in Multimode Fiber for Channel Diversity in Data Communications.
Record Nr. UNINA-9910254188703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Computer and Communication Engineering Technology [[electronic resource] ] : Proceedings of the 1st International Conference on Communication and Computer Engineering / / edited by Hamzah Asyrani Sulaiman, Mohd Azlishah Othman, Mohd Fairuz Iskandar Othman, Yahaya Abd Rahim, Naim Che Pee
Advanced Computer and Communication Engineering Technology [[electronic resource] ] : Proceedings of the 1st International Conference on Communication and Computer Engineering / / edited by Hamzah Asyrani Sulaiman, Mohd Azlishah Othman, Mohd Fairuz Iskandar Othman, Yahaya Abd Rahim, Naim Che Pee
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (1063 p.)
Disciplina 006.3
006.312
620
621.382
Collana Lecture Notes in Electrical Engineering
Soggetto topico Electrical engineering
Data mining
Artificial intelligence
Communications Engineering, Networks
Data Mining and Knowledge Discovery
Artificial Intelligence
ISBN 3-319-07674-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; General Committee and Advisors; Contents; Part I Communication; 1 RWA: Comparison of Genetic Algorithms and Simulated Annealing in Dynamic Traffic; Abstract; 1.1…Introduction; 1.2…Description of the RWA Problem; 1.3…Model Description; 1.4…Description of the Algorithms; 1.4.1 Network Demand; 1.4.2 Simulated Annealing Algorithm; 1.4.3 Genetic Algorithms; 1.5…Comparison Scenario; 1.6…Results; 1.7…Conclusions; References; 2 Route Optimization in Proxy Mobile IPv6 Test-Bed via RSSI APPs; Abstract; 2.1…Introduction; 2.2…Related Research; 2.3…Test-Bed Setup
2.3.1 Software and Hardware Requirement2.3.2 Kernel Setup and Installation; 2.3.3 Access Point Cisco Aironet 1200; 2.4…Localized Routing Algorithm; 2.5…Result and Discussion; 2.6…Conclusion; 2.7…Future Work; References; 3 Polytetrafluoroethylene Glass Microfiber Reinforced Slotted Patch Antenna for Satellite Band Applications; Abstract; 3.1…Introduction; 3.2…Antenna Design, Architecture and Optimization; 3.3…Properties and Performance Analysis of Different Dielectrics Substrate; 3.4…Conclusion; References; 4 2.4 GHz Circularly Polarized Microstrip Antenna for RFID Application; Abstract
4.1…Introduction4.2…Antenna Design; 4.3…Result; 4.3.1 S11 Result; 4.3.2 Directivity Result; 4.3.3 Axial Ratio Result; 4.4…Conclusion; Acknowledgments; References; 5 On Understanding Centrality in Directed Citation Graph; Abstract; 5.1…Introduction; 5.2…Related Work; 5.3…Performance Metric; 5.3.1 Betweenness and Node Degree Centrality; 5.4…The Experiment; 5.5…Results; 5.6…Conclusion; References; 6 Channel Capacity of Indoor MIMO Systems in the Presence of Spatial Diversity; Abstract; 6.1…Introduction; 6.2…Channel Model and Channel Capacity; 6.2.1 MIMO Channel Model for LOS Scenario
6.2.2 System Configuration6.2.3 MIMO Channel Capacity; 6.3…Results and Discussion; 6.3.1 Typical and Spatial Diversity; 6.3.2 MIMO System with Spatial Diversity Technique; 6.3.3 Eigenvalue Analysis and MIMO Channel Correlation Coefficient; 6.4…Conclusion; References; 7 Design of Multi-band Antenna for Wireless MIMO Communication Systems; Abstract; 7.1…Introduction; 7.2…Antenna Design; 7.2.1 C-Shaped Slot Antenna [Design A1(i)]; 7.2.2 Three-Shaped Slot Antenna [Design A1(ii)]; 7.2.3 Pumpkin-Shaped Slot Antenna [Design A1(iii)]; 7.3…Simulation and Measurement Results; 7.4…Conclusion; References
8 Design of Linear Polarization Antenna for Wireless MIMO ApplicationAbstract; 8.1…Introduction; 8.2…Design Specification; 8.2.1 Antenna Design Process; 8.2.2 Rectangular Patch with Slots; 8.2.3 Result and Discussion; 8.3…Conclusion; References; 9 The Effect of IV Characteristics on Optical Control of SDR Si IMPATT Diode; Abstract; 9.1…Introduction; 9.2…Design Structure; 9.3…Simulation Result and Discussion; 9.3.1 Dark Current Condition; 9.3.2 Light Incident Condition; 9.4…Conclusion; Acknowledgments; References
10 Variable Intrinsic Region in CMOS PIN Photodiode for I--V Characteristic Analysis
Record Nr. UNINA-9910299669503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Data Analytics Using Python [[electronic resource] ] : With Architectural Patterns, Text and Image Classification, and Optimization Techniques / / by Sayan Mukhopadhyay, Pratip Samanta
Advanced Data Analytics Using Python [[electronic resource] ] : With Architectural Patterns, Text and Image Classification, and Optimization Techniques / / by Sayan Mukhopadhyay, Pratip Samanta
Autore Mukhopadhyay Sayan
Edizione [2nd ed. 2023.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023
Descrizione fisica 1 online resource (259 pages)
Disciplina 006.312
Soggetto topico Python (Computer program language)
Machine learning
Data mining
ISBN 1-4842-8005-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Overview of Python Language -- Chapter 2: ETL with Python -- Chapter 3: Supervised Learning and Unsupervised Learning with Python -- Chapter 4: Clustering with Python -- Chapter 5: Deep Learning & Neural Networks -- Chapter 6: Time Series Analysis -- Chapter 7: Analytics in Scale.
Record Nr. UNINA-9910632475203321
Mukhopadhyay Sayan  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui

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