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Engineering Books for sale
About the Book: Microprocessor Architecture, Programming and Applications with the 8085 This book provides a comprehensive treatment of the microprocessor, covering both hardware and software based on the 8085 Microprocessor family. This book was first published in 1984 and it has been in the field for nearly three decades. The microprocessor concepts that were at the cutting edge of the technology in the 1970s and 80s have become fundamentals of the computer field. It is gratifying to see such acceptance of the integrated approach to teaching microprocessor concepts.
Engineering mechanics 8th edition
Engineering Mechanics is authored by eminent author Dr S S Bhavikatti and is published by one of the leading publishers, NEW AGE International Publishers.This latest Multicolour Edition of the book is intended for the undergraduate students of Engineering. The book is recommended by various IITs, NITs and other top Engineering Colleges. This is one of our bestselling books on Engineering Mechanics.Engineering Mechanics is a core subject of 1st year B.Tech./BE course. During this course, students develop their capacity to model actual problem into an engineering problem for finding its solution using laws of mechanics. The problems of the textbook are solved systematically using neat free body diagrams. Throughout SI units and standard notations as recommended by Bureau of Indian Standard are used. This book covers syllabus of almost all universities.This 8th edition incorporates all the textual matter of the last edition, with the addition being of chapter-wise MCQs with answers
Engineering Mathematics - 1
This book is designed to meet the complete requirements of Engineering Mathematics course of undergraduate syllabus, The book consists of seven chapters viz. infinite Series, Matrices, Expansion of Functions, Asymptotes, Curvature, Partial Differenciation , Multiple Integrals, Each chapter is treated in treated in systematic,logical and lucid manner, All these chapters are independent units in themselves. The students can go through the book picking up any chapter at any given times, without referring to other chapters, Hints, where ever necessary and answers of the questions in the exercises are given at the end of each exercise, Most of the questions-solved as well as unsolved-have been picked up from the examination papers of different universities and professional examinations, There are fully worked out examples and graded exercises (with answers) aimed at preparing the student for examination as well as higher studies, The authors have illustrated various methods to solve particular problems.
Applied Physics for Engineers By Neeraj Mehta
This book is intended as a textbook for the first-year undergraduate engineering students of all disciplines. Key features: simple and clear diagrams throughout the book help students in understanding the concepts clearly; numerous in-chapter solved problems, chapter-end unsolved problems (with answers) and review questions assist students in assimilating the theory comprehensively; a large number of objective type questions at the end of each chapter help students in testing their knowledge of the theory.
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.
