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PIANC Yearbook 2013
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PIANC Yearbook 2015
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PIANC Yearbook 2014
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Deep Learning and its Applications
Deep Learning and its Applications book chapter is intended to provide various deep insight about Deep learning in various applications. According to current Industry 4.0 standards, Deep learning on the emerging research area to give various services to IT and ITeS. In this book chapter various real time applications are taken for evaluating deep learning approach. Deep Learning is the subset of machine learning which has further learned results of artificial intelligent applications. Artificial Intelligent is the current scenario for making effective decisions. Here the applications are medical image processing, moving objects, image analysis, classification, clustering, prediction, and restoration used to identify various results. Based on each chapter different problems are taken for evaluation and apply different deep learning principles to find accuracy, precision, and score functions. Supervised and Unsupervised learning techniques, TensorFlow, Yolo classifier and Colabs are used to simulate the applications. In this book chapters are very useful for researchers, students, and faculty community to learn about Deep Learning in current trends.
OSCE in Orthopedics
This book provides practical revision for trainees in orthopaedics preparing for OSCE examinations. Beginning with an explanation of the basics of OSCE exams, the following sections present more than 400 clinical cases detailing clinical history, diagnostic investigations, operative photographs and more. Answers are provided in two forms – from the perspective of a previous candidate, and the structure expected by examiners. Cases are presented in exam format, with different problems and different types of questions combined together, to help students in their preparation. The text is further enhanced by nearly 500 clinical photographs and illustrations. Key Points Practical revision aid for orthopaedics trainees preparing for OSCE exams Presents 400 clinical cases covering different problems and types of questions Each case provides two answers – one from a previous candidate, the other as expected by examiners Includes nearly 500 clinical photographs and illustrations
Vaasthu Shastra
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A Practical Approach to Digital Signal Processing
This Book Presents An Exhaustive Exposition Of The Theory And Practice Of Digital Signal Processing. Basic Concepts And Techniques Have Been Explained In Detail And Suitably Illustrated With Practical Examples And Software Programs. Practice Problems And Projects Have Also Been Given Throughout The Book.The Book Begins With An Introduction To Signals And The Relative Merits Of Analog And Digital Methods. Hardware Details Of Present-Day Dsp Integrated Circuits Are Explained Next And Full Tested Circuits Are Provided For Project Work By Students.Fourier Transforms Are Then Explained In Detail. Subsequently, Recursive Filter Design Methods Are Discussed With Typical Examples And Programs.An Exhaustive Account Of Various Filters Is Then Given With Design Techniques. The Discussion Is Illustrated Through Software Programs And Practical Design Examples.The Book Concludes With A Detailed Discussion Of Lattice Type Filters And Their Usage In Speech Processing. With Its Comprehensive Coverage And Practical Approach, This Is An Essential Text For Electrical, Electronics And Communication Engineering Students. Practising Engineers Would Also Find This Book To Be A Valuable Reference Source.
