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  • Applications in Reliability and Statistical Computing

    Applications in Reliability and Statistical Computing by Pham, Hoang;

    Sorozatcím: Springer Series in Reliability Engineering;

      • 20% KEDVEZMÉNY?

      • A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
      • Kiadói listaár EUR 181.89
      • Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.

        75 438 Ft (71 846 Ft + 5% áfa)
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      • Kedvezményes ár 60 351 Ft (57 477 Ft + 5% áfa)

    75 438 Ft

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    Beszerezhetőség

    Megrendelésre a kiadó utánnyomja a könyvet. Rendelhető, de a szokásosnál kicsit lassabban érkezik meg.

    Why don't you give exact delivery time?

    A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.

    Hosszú leírás:

    This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications.

    5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of big data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry.

    Including numerous illustrations and worked examples, the book is of interest to researchers, practicing engineers, and postgraduate students in the fields of reliability engineering, statistical computing, and machine learning.


    Több

    Tartalomjegyzék:

    1.Forecasting The Long-Term Growth of S&P 500 Index.- 2.Smart Maintenance and Human Factor Modeling for Aircraft Safety.- 3.Feedback-based algorithm for negotiating human preferences and making risk assessment decisions.- 4.Joining Aspect Detection and Opinion Target Expression based on Multi-Deep Learning Models.- 5.Voting Systems with Supervising Mechanisms.- 6.Assessing the Severity of COVID-19 in the United States.- 7.Promoting expert knowledge for comprehensive human risk management in industrial environments.- 8.Data Quality Assessment for ML Decision-Making.- 9.From Holistic Health to Holistic Reliability – Toward an Integration of Classical Reliability with Modern Big-data Based Health Monitoring.- 10.On the Aspects of Vitamin D and COVID-19 Infections and Modeling Time-delay Body's Immune System With Time-dependent Effects of Vitamin D and Probiotic.- 11.A Staff Scheduling Problem of Customers with Reservations in ConsiderationWith Expected Wait Time of a Customer Without Reservation.- 12.Decision Support System for Ranking of Software Reliability Growth Models.- 13.Human Pose Estimation using Artificial Intelligence.- 14.Neural Network Modeling and What-if Scenarios: Applications for Market Development Forecasting.- 15.Mental Health Studies: A Review.


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