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Data Driven Technologies and Artificial Intelligence in Supply Chain - Tools and Techniques: Mahesh Chand, Vineet Jain, Puneeta... Data Driven Technologies and Artificial Intelligence in Supply Chain - Tools and Techniques
Mahesh Chand, Vineet Jain, Puneeta Ajmera
R3,840 Discovery Miles 38 400 Ships in 12 - 17 working days

This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing. "Provides solutions to solve complex supply chain management issues using artificial intelligence and data-driven technologies. " Emphasizes the impact of a data-driven supply chain on quality management. "Discusses applications of artificial intelligence, and data-driven technologies in the service industry, and lean manufacturing. " Highlights the barriers to implementing artificial intelligence in small and medium enterprises. Presents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risks. The book comprehensively discusses the applications of artificial intelligence and data-driven technologies in supply chain management for diverse fields such as service industries, manufacturing industries, and healthcare. It further covers the impact of artificial intelligence and data-driven technologies in managing the FMGC supply chain. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, industrial engineering, manufacturing engineering, production engineering, and computer engineering.

Applied ADO.NET - Building Data-Driven Solutions (Paperback, Softcover reprint of the original 1st ed.): David Talbot, Mahesh... Applied ADO.NET - Building Data-Driven Solutions (Paperback, Softcover reprint of the original 1st ed.)
David Talbot, Mahesh Chand
R1,778 R1,442 Discovery Miles 14 420 Save R336 (19%) Ships in 10 - 15 working days

Applied ADO.NET: Building Data-Driven Solutions is written for programmers by two programmers that have put ADO.NET to work creating live applications, offering real-world knowledge from hard won experience. Applied ADO.NET: Building Data-Driven Solutions provides extensive coverage of ADO.NET technology including ADO.NET internals, namespaces, classes, and interfaces. Where most books cover only SQL and OLE DB data providers, Mahesh Chand and David Talbot cover SQL, OLE DB, ODBC data providers and the latest additions to ADO.NET: Oracle, MySQL, and XML .NET data providers. Chand and Talbot also cover internals of data binding and they provide detailed coverage on both Windows Forms and Web Forms data binding and data-bound controls. Since XML plays a major role in .NET development, the authors also provide a comprehensive look at XML namespaces and classes, and how to integrate both with ADO.NET. Applied ADO.NET: Building Data-Driven Solutions begins with the basics of ASP.NET and data-bound controls. It then delves into internals of data binding and shows how to use DataGrid, DataList, and other data-bound controls in real-world applications. services, and even an online bookstore sites development and design process. Advanced developers will learn from the coverage of ADO.NET architecture, related design issues, and how ADO.NET data providers are designed. The authors also show how to create a Custom Data Provider.

A Programmer's Guide to ADO.NET in C# (Paperback, Softcover reprint of the original 1st ed.): Mahesh Chand, Mike Gold A Programmer's Guide to ADO.NET in C# (Paperback, Softcover reprint of the original 1st ed.)
Mahesh Chand, Mike Gold
R1,592 R1,288 Discovery Miles 12 880 Save R304 (19%) Ships in 10 - 15 working days

This essential guide to Microsoft's ADO.NET overviews C#, then leads you toward deeper understanding of ADO.NET. Author Mahesh Chand provides key information about using each of .NET's major data providers, including OLE DB, SQL Server, and the released version of ODBC. Also featured are the methods and properties associated with these data providers' classes. Further, Chand shows you how to work with XML classes, integrate XML into the ADO .NET architecture, and manipulate XML to transfer, read, and store data.

"A Programmer's Guide to ADO.NET in C# supplies you with handy ideas for taking advantage of the Visual Studio .NET IDE, and for linking data with powerful Windows and Web Forms, including the multifaceted DataGrid control. Also included is discussion about using ADO.NET to develop Web applications and create Web services.

The easy-to-follow, visually rich examples illustrate creating and executing stored procedures, working with triggers and views, creating and updating tables, and handling events in ADO.NET. Extremely thorough, this book even explains how to develop a web-based guest book.

Performance Analysis of Solar PV Systems (Paperback): Rahul Khatri, Mahesh Chand Garg Performance Analysis of Solar PV Systems (Paperback)
Rahul Khatri, Mahesh Chand Garg
R1,060 Discovery Miles 10 600 Ships in 10 - 15 working days
Performance Comparison of Dedhuwa, Mara and Pothi with Carp (Paperback): Gupta Mahesh Chand, Rai Sunila Performance Comparison of Dedhuwa, Mara and Pothi with Carp (Paperback)
Gupta Mahesh Chand, Rai Sunila
R1,294 Discovery Miles 12 940 Ships in 10 - 15 working days

In order to assess the effect of adding Prawn(Macrobrachium rosenbergii), Dedhuwa (Esomus danricus), Mara (Amblyparyngodon mola) and Pothi (Puntius sophore) on Carp production, an experiment was carried out in farmers' pond in Chitwan. The experiment included Five treatments in triplicates: T1, (Carp: Silver carp, Hypophthalmychthys molitrix, Bighead carp, Aristichthys nobilis, Rohu, Labeo rohita and Mrigal, Cirrhinus mrigala), T2(Carp+Prawn), T3 (Carp+Prawn +Dedhuwa), T4 (Carp+Prawn+Mara), and T5 (Carp+Prawn+Pothi). Fish were fed on dough of rice bran and mustard oil cake (1:1) at the rate of 3% of body weight. Results showed that Dedhuwa, Mara and Pothi did not differ significantly (P>0.05) in terms of production. Production of Silver carp and Bighead carp was found significantly higher (P

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