This book is based on modern OpenGL v3.3 and above. It covers a myriad of topics of interest ranging from basic camera models and view frustum culling to advanced topics, such as dual quaternion skinning and GPU based simulation techniques. The book
Machine Learning for OpenCV: Intelligent image processing with Python by Michael Beyeler (https://www.amazon.com/Machine-Learning-OpenCV-Intelligent-processing/dp/1783980281/ref=sr_1_1?s=amazon-devices&ie=UTF8&qid=1517710318&sr=8-1&keywords=opencv+m
2018 by Taylor & Francis Group, LLC This book aims to cover a broad spectrum and is divided into three sections. The first section addresses typical optical MEMS devices containing microsized features. It also features the use of this technology in
Woodhead Publishing Limited, 2013 This book is arranged in two parts. Part I, comprising ten chapters, deals with RF MEMS as an enabling technology. This part covers the latest trends in fabrication and technology: in RF MEMS components including RF
Springer International Publishing Switzerland 2017 This book consists of 30 chapters. Chapter 1 presents the theory and application of actuation of elastomeric micro-devices via capillary force technology. Chapter 2 provides insight into the fundame
Recent years have witnessed a deluge of network data propelled by the emerging online social media, user-generated video contents, and global-scale communi- cations, bringing people into the era of big data. Such network big data holds much critical
The next generation of genomic, sensing, and imaging technologies has generated a deluge of DNA sequencing, transcr iptomes, epigenomic, metabolic, physiological (ECG, EEG, EMG, and MEG), image (CT, MRI, fMRI, DTI, PET), behavioral, and clini- cal d
Bioinformatics is an emerging field in which statistical and computational techniques are used extensively to analyze and interpret biological data obtained from high-throughput genomic technologies. Genomic technologies allow us to monitor thousand
This book emanated from many discussions about collaborative research among the editors. The discussions have focussed on using signal processing methods for knowledge extraction and information fusion in a number of applications from telecommunicat
The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square S
This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator n
The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SV
For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals - radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, ec
Cell injection plays an important role in genetics, transgenics, molecular biology, drug discovery, reproductive study, and other biomedical fields. Compared with manual cell microinjection and robotic cell microinjection with sole position feedback
Instructors love "Numerical Methods for Engineers" because it makes teaching easy! Students love it because it is written for them - with clear explanations and examples throughout. The text features a broad array of applications that span all engin
Recent research has shown great progress on fine-grained entity typing. Most existing methods require pre-defining a set of types and training a multi-class classifier from a large labeled data set based on multi-level linguistic features. They are
