Buy used Engineering Books online in India
Buy Second Hand Books, Used Books Online In India
Digital integrated electronics by Herbert taub
/Table of Contents 1 Electronic Devices2 Operational Amplifiers and Comparators3 Logic Circuits4 Resistor-Transistor Logic and Integrated- Injunction Logic5 Diode-Transistor Logic6 Transistor-Transistor Logic7 Emitter- Coupled Logic8 MOS Gates9 Flip-Flops10 Registers and Counters11 Arithmetic Operations12 Semiconductor For Memories13 Analog Switches14 Analog-to-Digital Conversions15 Timing Circuits
Fundamentals of Applied Probability & Random Processes
The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style and homework problems make it ideal for the classroom or for self-study. Demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings Expands readers’ understanding of disruptive statistics in a new chapter (chapter 8) Provides new chapter on Introduction to Random Processes with 14 new illustrations and tables explaining key concepts. Includes two chapters devoted to the two branches of statistics, namely descriptive statistics (chapter 8) and inferential (or inductive) statistics (chapter 9).
H K dass mathematics -1for B.tech
Introduction to Engineering Mathematics Volume-I has been thoroughly revised according to the New Syllabi (2018 onwards) of Dr. A.P.J. Abdul Kalam Technical University (AKTU, Lucknow). The book contains 19 chapters divided among five sections - Differential Calculus- I, Differential Calculus- II, Matrices, Multivariable calculus- I and Vector calculus. It contains good number of solved examples from question papers of examinations recently held by different universities and engineering colleges so that the students may not find any difficulty while answering these problems in their final examination.
DeepLearning with Tensorflow 2 and Keras-Brand New
Updated and revised second edition of the bestselling guide to advanced deep learning with TensorFlow 2 and Keras Key FeaturesExplore the most advanced deep learning techniques that drive modern AI resultsNew coverage of unsupervised deep learning using mutual information, object detection, and semantic segmentationCompletely updated for TensorFlow 2.xBook Description Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available today. Revised for TensorFlow 2.x, this edition introduces you to the practical side of deep learning with new chapters on unsupervised learning using mutual information, object detection (SSD), and semantic segmentation (FCN and PSPNet), further allowing you to create your own cutting-edge AI projects. Using Keras as an open-source deep learning library, the book features hands-on projects that show you how to create more effective AI with the most up-to-date techniques. Starting with an overview of multi-layer perceptrons (MLPs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs), the book then introduces more cutting-edge techniques as you explore deep neural network architectures, including ResNet and DenseNet, and how to create autoencoders. You will then learn about GANs, and how they can unlock new levels of AI performance. Next, you’ll discover how a variational autoencoder (VAE) is implemented, and how GANs and VAEs have the generative power to synthesize data that can be extremely convincing to humans. You'll also learn to implement DRL such as Deep Q-Learning and Policy Gradient Methods, which are critical to many modern results in AI. What you will learnUse mutual information maximization techniques to perform unsupervised learningUse segmentation to identify the pixel-wise class of each object in an imageIdentify both the bounding box and class of objects in an image using object detectionLearn the building blocks for advanced techniques - M
Engineering Books (Civil Eng./ Water Resources Eng.)
The Book Introduces To The Reader All Aspects Of Ground Water I.E., Its Assessment, Development, Utilisation And Management. Practical Application Of Different Formulae For Field Conditions, Data Collection And Processing, Test Procedures And Principles Of Design Are Worked Out To Illustrate The Theory And Design Procedure.The Revised Edition Includes Case Studies Of Pump Test Data In The Country. Methods Of Irrigation And Complete Design And Layout Of Sprinkler And Drip Irrigation Projects Are Given.Model University Question Papers (With Answers To Problems) Are Given Which Explore A Comprehensive Knowledge Of Ground Water Resource Evaluation.The Book Will Prove Eminently Suitable For Students, Research Scholars And Professionals Associated With Ground Water Development And Management.
Engineering 2nd semester communication skills
The book is divided in five units with the first unit focussing on the nuances of the English language covering aspects such as basic and applied grammar, phonetics, and vocabulary development. The subsequent four units focus exclusively on each of the four language skills, namely, speaking, reading, listening, and writing. These four units exhaustively explore, analyse and exemplify the kaleidoscopic world of communication by focusing on reading comprehension, effective listening skills, non-verbal communication, public speaking, professional presentations, group discussions, job interviews, business letters & reports, resume preparation, essay writing, and e-mails. Offering scores of exercises, the book attempts to prepare students for all the various types of communicating tasks that they are likely to encounter both in their academic and professional lives. With the accompanying audio and video CD, the book can effectively serve as a text for graduating students besides serving as a reference for corporate professionals.
Fundamentals of Database Systems
Generation of Electrical Energy is written primarily for the undergraduate students of electrical engineering while also covering the syllabus of AMIE and act as a refresher for the professionals in the field. The subject itself is now rejuvenated with important new developments. With this in view, the book covers conventional topics like load curves, steam generation, hydro-generation parallel operation as well as new topics like new sources of energy generation, hydrothermal coordination, static reserve reliability evaluation among others.
Principles of Electromagnetics
The text material has been restructured to provide a more balanced and exhaustive coverage of the subject.The text discusses the core concepts of technical communication and explains them with the help of numerous examples and practice exercises. The book also provides support for soft skills laboratory sessions through a companion CD.With its in-depth coverage and practical orientation, the book is useful not only for students, but also as a reference material for corporate training programmes.
Data Structures Using C
This second edition of Data Structures Using C has been developed to provide a comprehensive and consistent coverage of both the abstract concepts of data structures as well as the implementation of these concepts using C language. It begins with a thorough overview of the concepts of C programming followed by introduction of different data structures and methods to analyse the complexity of different algorithms. It then connects these concepts and applies them to the study of various data structures such as arrays, strings, linked lists, stacks, queues, trees, heaps, and graphs. The book utilizes a systematic approach wherein the design of each of the data structures is followed by algorithms of different operations that can be performed on them, and the analysis of these algorithms in terms of their running times. Each chapter includes a variety of end-chapter exercises in the form of MCQs with answers, review questions, and programming exercises to help readers test their knowledge.
