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Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
System Modeling in Cellular Biology: From Concepts to Nuts and Bolts
System Modeling in Cellular Biology: From Concepts to Nuts and Bolts
Biology is the study of self-replicating chemical processes. Biology is the study of
systems accurately transmitting a genetic blueprint. Biology is the study of complex
adaptive reproducing systems.

What is systems biology if all definitions of biology implicitly or explicitly refer to
the study of a whole object, whether
...
Multiple Abstraction Hierarchies for Mobile Robot Operation in Large Environments (Studies in Computational Intelligence)
Multiple Abstraction Hierarchies for Mobile Robot Operation in Large Environments (Studies in Computational Intelligence)
This book focuses on the efficient performance of mobile robots through the use of multi-hierarchical symbolic representations of the environment.

A mobile robot intended to perform deliberative actions must possess some symbolic representation of its workspace, but such representations of real environments usually become so large that should...

Ranking Queries on Uncertain Data (Advances in Database Systems)
Ranking Queries on Uncertain Data (Advances in Database Systems)

Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task....

Computer Vision Using Local Binary Patterns (Computational Imaging and Vision)
Computer Vision Using Local Binary Patterns (Computational Imaging and Vision)

Humans receive the great majority of information about their environment through sight, and at least 50% of the human brain is dedicated to vision. Vision is also a key component for building artificial systems that can perceive and understand their environment. Computer vision is likely to change society in many ways; for example, it...

Vision Based Systemsfor UAV Applications (Studies in Computational Intelligence)
Vision Based Systemsfor UAV Applications (Studies in Computational Intelligence)

This monograph is motivated by a significant number of vision based algorithms for Unmanned Aerial Vehicles (UAV) that were developed during research and development projects. Vision information is utilized in various applications like visual surveillance, aim systems, recognition systems, collision-avoidance systems and navigation. This book...

Introductory Statistics with R (Statistics and Computing)
Introductory Statistics with R (Statistics and Computing)
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the...
Computational Methods in Synthetic Biology (Methods in Molecular Biology, 2189)
Computational Methods in Synthetic Biology (Methods in Molecular Biology, 2189)

This second edition book provides complete coverage of the computational approaches currently used in Synthetic Biology.  New chapters detail computational methods and algorithms for the design of bio-components, insight on CAD programs, analysis techniques, and distributed systems. Written in the highly...

Recent Advances in Formal Languages and Applications (Studies in Computational Intelligence)
Recent Advances in Formal Languages and Applications (Studies in Computational Intelligence)
The theory of formal languages is widely accepted as the backbone of theoretical computer science. It mainly originated from mathematics (combinatorics, algebra, mathematical logic) and generative linguistics. All human problem solving capabilities can be considered in a certain sense as a manipulation of symbols and structures composed by symbols,...
New Computational Paradigms: Changing Conceptions of What is Computable
New Computational Paradigms: Changing Conceptions of What is Computable
In recent years, classical computability has expanded beyond its original scope to address issues related to computability and complexity in algebra, analysis, and physics. The deep interconnection between "computation" and "proof" has originated much of the most significant work in constructive mathematics and mathematical...
Analysis and Control of Nonlinear Process Systems (Advanced Textbooks in Control and Signal Processing)
Analysis and Control of Nonlinear Process Systems (Advanced Textbooks in Control and Signal Processing)
Almost all process systems are nonlinear in nature. Nonlinear control is traditionally an area of interest in process systems engineering which is of great practical importance. These facts notwithstanding, many process engineers have difficulty with the paradigms and results of modern nonlinear control theory because they lack the mathematical...
Moving Objects Databases (The Morgan Kaufmann Series in Data Management Systems)
Moving Objects Databases (The Morgan Kaufmann Series in Data Management Systems)
This book represents a milestone in the synthesis of temporal and spatial database concepts and techniques. It unifies and organizes the existing research into a coherent whole and presents substantial new results and approaches in many areas. In each case it begins with what is known, then it introduces the new concepts in an abstract and...
unlimited object storage image
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