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Data Science for IoT Engineers : A Systems Analytics Approach
| Data Science for IoT Engineers : A Systems Analytics Approach |
| Autore | Madhavan P. G |
| Pubbl/distr/stampa | Bloomfield : , : Mercury Learning & Information, , 2021 |
| Descrizione fisica | 1 online resource (170 pages) |
| Disciplina | 006.312024004678 |
| Soggetto topico | COMPUTERS / Desktop Applications / Presentation Software |
| Soggetto non controllato |
IOT
MATLAB computer science data analytics engineering mathematics physics |
| ISBN |
1-68392-640-4
1-68392-641-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- About the Author -- PART I Machine Learning from Multiple Perspectives -- CHAPTER 1 Overview of Data Science -- CHAPTER 2 Introduction to Machine Learning -- CHAPTER 3 Systems Theory, Linear Algebra, and Analytics Basics -- CHAPTER 4 “Modern” Machine Learning -- PART II Systems Analytics -- CHAPTER 5 Systems Theory Foundations of Machine Learning -- CHAPTER 6 State Space Model and Bayes Filter -- CHAPTER 7 The Kalman Filter for Adaptive Machine Learning -- CHAPTER 8 The Need for Dynamical Machine Learning: The Bayesian Exact Recursive Estimation -- CHAPTER 9 Digital Twins -- Epilogue A New Random Field Theory -- Index |
| Record Nr. | UNINA-9910795555703321 |
Madhavan P. G
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| Bloomfield : , : Mercury Learning & Information, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science for IoT Engineers : A Systems Analytics Approach
| Data Science for IoT Engineers : A Systems Analytics Approach |
| Autore | Madhavan P. G |
| Pubbl/distr/stampa | Bloomfield : , : Mercury Learning & Information, , 2021 |
| Descrizione fisica | 1 online resource (170 pages) |
| Disciplina | 006.312024004678 |
| Soggetto topico | COMPUTERS / Desktop Applications / Presentation Software |
| Soggetto non controllato |
IOT
MATLAB computer science data analytics engineering mathematics physics |
| ISBN |
1-68392-640-4
1-68392-641-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- About the Author -- PART I Machine Learning from Multiple Perspectives -- CHAPTER 1 Overview of Data Science -- CHAPTER 2 Introduction to Machine Learning -- CHAPTER 3 Systems Theory, Linear Algebra, and Analytics Basics -- CHAPTER 4 “Modern” Machine Learning -- PART II Systems Analytics -- CHAPTER 5 Systems Theory Foundations of Machine Learning -- CHAPTER 6 State Space Model and Bayes Filter -- CHAPTER 7 The Kalman Filter for Adaptive Machine Learning -- CHAPTER 8 The Need for Dynamical Machine Learning: The Bayesian Exact Recursive Estimation -- CHAPTER 9 Digital Twins -- Epilogue A New Random Field Theory -- Index |
| Record Nr. | UNINA-9910810050903321 |
|
Madhavan P. G
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| Bloomfield : , : Mercury Learning & Information, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimization and Management in Manufacturing Engineering : Resource Collaborative Optimization and Management through the Internet of Things / Xinbao Liu ... [et al.]
| Optimization and Management in Manufacturing Engineering : Resource Collaborative Optimization and Management through the Internet of Things / Xinbao Liu ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xviii, 264 p. : ill. ; 24 cm |
| Soggetto topico |
47-XX - Operator theory [MSC 2020]
68Q25 - Analysis of algorithms and problem complexity [MSC 2020] 90B30 - Production models [MSC 2020] 90B05 - Inventory, storage, reservoirs [MSC 2020] |
| Soggetto non controllato |
Collaborative problems for manufacturers
Cutting stock algorithm Decision Methods Decision-right distribution method Hybrid heuristic IOT Internet of Things Inventory management Manufacture enterprise Manufacturing process management Neighborhood-searching Optimal organizational structure Practical manufacturing Quality management Routing algorithm Supply chain scheduling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124056 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Optimization Methods Applied to Power Systems Ⅱ
| Optimization Methods Applied to Power Systems Ⅱ |
| Autore | Montoya Francisco G |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (350 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
electricity markets
economic dispatch optimization maximum capacity online operation power system unit commitment circuit breaker network modeling optimal power flow wind and solar energies gas insulated switchgear partial discharges electromagnetic wave propagation UHF measurement Security-Constraint Unit Commitment sensitivity factors user cuts power line communication (PLC) energy storage management vehicle to grid (V2G) smart grid multi-objective optimization population-based intelligent optimization algorithm multi-behavior combination algorithm framework Economic load dispatch (ELD) dragonfly algorithm metaheuristic particle swarm optimization cold-thermal-electricity integrated energy system multi-energy complementation feasible interval of load rate multi-objective multi time scales optimize operation earthing earthing system optimisation Ansys Maxwell sensitivity analysis touch voltage non-linear programming security-constrained OPF preventive control corrective control post-contingency overflow transmission line thermal inertia Three-phase optimal power flow voltage regulation distributed generation distribution transformer taps linear OPF problem shift-factors line outage distribution factors security-constrained corrective formulation preventive formulation klystron IOT resotrode efficiency microwave bunching computer simulation global optimization power quality disturbances classification feature selection swarm optimization support vector machine genetic algorithm K-NN algorithm decision tree S-transform optimization techniques hydroelectric renewable energy MCDM fuzzy theory FANP TOPSIS quadratically constrained quadratic programming contingency constrained optimal power flow isolated hybrid microgrid system (IHμGS) solar tower (ST) biodiesel power generator (BDPG) frequency regulation butterfly optimization technique (BOA) microgrid energy management electric vehicle microgrid energy efficiency |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557780003321 |
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Montoya Francisco G
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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