Cover Image

QR Code

Nature-inspired algorithms : for engineers and scientists

Main Author:	Mishra, Krishn Kumar
Edition:	First edition.
Subjects:	Engineering -- > Data processing Nature-inspired algorithms Science -- > Data processing Electronic books
Online Access:	http://library.unisel.edu.my/web/guest/mylibrary

Similar Items

Synchronization algorithms and concurrent programming
by: Taubenfeld, Gadi
Published: (2006)

Cloud computing for science and engineering
by: Foster, Ian

Data structures and algorithms in C++
by: Joshi, Brijendra Kumar
Published: (2011)

Excel for scientists and engineers : numerical methods
by: Billo, E. Joseph

Programming with MATLAB for scientists : a beginner's introduction
by: Mikhailov, Eugeniy E
Published: (2017)

Introduction to Python for science and engineering
by: Pine, David J

Emerging capabilities and applications of artificial higher order neural networks
by: Zhang, Ming

Data structures and algorithm analysis in C
by: Weiss, Mark Allen
Published: (1999)

Machine learning models and algorithms for big data classification : thinking with examples for effective learning
by: Suthaharan, Shan
Published: (2016)

Practical explainable AI using Python : artificial intelligence model explanations using Python-based libraries, extensions, and frameworks
by: Mishra, Pradeepta

Deep learning approach for natural language processing, speech, and computer vision : techniques and use cases
by: Kumar, L. Ashok

Essential MATLAB for engineers and scientists
by: Hahn, Brian D

Introduction to programming with C++ for engineers
by: Cyganek, Boguslaw

Real-world software projects for computer science and engineering students
by: Gupta, Varun

Engineering problem solving with C++ : an object based approach
by: Ingber, Jeanine A
Published: (2003)

Computational intelligence applications for software engineering problems

Data structures and algorithms with Python
by: Lee, Kent D
Published: (2015)

Data structures and algorithms in C++
by: Goodrich, Michael T
Published: (2004)

Data structures & algorithms in Java
by: Lafore, Robert
Published: (2003)

Data structures and algorithms in Java
by: Goodrich, Michael T
Published: (2006)

Data structures and algorithms in Java
by: Goodrich, Michael T
Published: (2015)

Data structures and algorithms in C++
by: Goodrich, Michael T
Published: (2011)

Computer science : an overview
by: Brookshear, J Glenn

Computer science : an overview
by: Brookshear, J. Glenn

Mathematica for scientists and engineers : using mathematica to do science
by: Gass, Richard
Published: (1998)

Beginning Git and GitHub : a comprehensive guide to version control, project management, and teamwork for the new developer
by: Tsitoara, Mariot

Algorithm design : foundations, analysis, and Internet examples
by: Goodrich, Michael T
Published: (2002)

Natural language processing in Artificial Intelligence

Data structures and algorithm analysis in C
by: Weiss, Mark Allen
Published: (1997)

Programming with MATLAB for scientists : a beginner's introduction
by: Mikhailov, Eugeniy E.

Data science for business : what you need to know about data mining and data-analytic thinking
by: Provost, Foster

A practical introduction to data structures and algorithm analysis
by: Shaffer, Clifford A
Published: (1998)

Guide to scientific computing in C++
by: Pitt-Francis, Joe
Published: (2017)

Practical text mining with Perl
by: Bilisoly, Roger
Published: (2008)

Chemical, gas, and biosensors for internet of things and related applications

Programming in C++ for engineering and science
by: Nyhoff, Larry R
Published: (2013)

Programming in C++ for engineering and science
by: Nyhoff, Larry R

Official Google Cloud Certified Professional Data Engineer study guide
by: Sullivan, Dan

Digital data integrity : the evolution from passive protection to active management
by: Little, David B
Published: (2007)

The DataOps revolution : delivering the data-driven enterprise
by: Trewin, Simon