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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
|
||
| 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 | ||
| ||
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] 90B05 - Inventory, storage, reservoirs [MSC 2020] 90B30 - Production models [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-VAN00124056 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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 online resource (350 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
algorithm framework
Ansys Maxwell biodiesel power generator (BDPG) bunching butterfly optimization technique (BOA) circuit breaker classification cold-thermal-electricity integrated energy system computer simulation contingency constrained optimal power flow corrective control corrective formulation decision tree distributed generation distribution transformer taps dragonfly algorithm earthing earthing system economic dispatch Economic load dispatch (ELD) efficiency electric vehicle electricity markets electromagnetic wave propagation energy efficiency energy storage management FANP feasible interval of load rate feature selection frequency regulation fuzzy theory gas insulated switchgear genetic algorithm global optimization hydroelectric IOT isolated hybrid microgrid system (IHμGS) K-NN algorithm klystron line outage distribution factors linear OPF problem maximum capacity MCDM metaheuristic microgrid microgrid energy management microwave multi time scales multi-behavior combination multi-energy complementation multi-objective multi-objective optimization network modeling non-linear programming online operation optimal power flow optimisation optimization optimization techniques optimize operation partial discharges particle swarm optimization population-based intelligent optimization algorithm post-contingency overflow power line communication (PLC) power quality disturbances power system preventive control preventive formulation quadratically constrained quadratic programming renewable energy resotrode S-transform security-constrained security-constrained OPF Security-Constraint Unit Commitment sensitivity analysis sensitivity factors shift-factors smart grid solar tower (ST) support vector machine swarm optimization thermal inertia Three-phase optimal power flow TOPSIS touch voltage transmission line UHF measurement unit commitment user cuts vehicle to grid (V2G) voltage regulation wind and solar energies |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557780003321 |
|
Montoya Francisco G
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||