Tag: Algorithms

September 26, 2023

Quantum-Safe Cryptography Algorithms and Approaches Impacts of Quantum Computing on Cybersecurity

By  E-Books  0 Comments

Free Download Quantum-Safe Cryptography Algorithms and Approaches
by Satya Prakash Yadav, Raghuraj Singh, Vibhash Yadav, Fadi Al-Turjman, Swarn Avinash Kumar
English | 2023 | ISBN: 311079800X | 346 pages | True PDF EPUB | 14.74 MB
Quantum computers have demonstrated that they have the inherent potential to outperform classical computers in many areas. One of the major impacts is that the currently available cryptography algorithms are bound to no longer hold once quantum computers are able to compute at full speed. This book presents an overview of all the cross-disciplinary developments in cybersecurity that are being generated by the advancements in quantum computing.

(more…)

September 26, 2023

Nature-inspired Optimization Algorithms and Soft Computing Methods, technology and applications for IoTs, smart cities

By  E-Books  0 Comments

Free Download Nature-Inspired Optimization Algorithms and Soft Computing: Methods, technology and applications for IoTs, smart cities, healthcare and industrial automation
by Rajeev Arya, Sangeeta Singh, Maheshwari P. Singh, Brijesh R. Iyer and Venkat N. Gudivada
English | 2023 | ISBN: 1839535164 | 298 pages | True PDF | 6.46 MB
We have witnessed an explosion of research activity around nature-inspired computing and bio-inspired optimization techniques, which can provide powerful tools for solving learning problems and data analysis in very large data sets. To design and implement optimization algorithms, several methods are used that bring superior performance. However, in some applications, the search space increases exponentially with the problem size. To overcome these limitations and to solve efficiently large scale combinatorial and highly nonlinear optimization problems, more flexible and adaptable algorithms are necessary.

(more…)

September 26, 2023

Evolutionary Deep Learning Genetic algorithms and neural networks

By  E-Books  0 Comments

Free Download Evolutionary Deep Learning: Genetic algorithms and neural networks
by Micheal Lanham
English | 2023 | ISBN: 1617299529 | 360 pages | True EPUB MOBI | 35.63 MB
Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning’s common pitfalls and deliver adaptable model upgrades without constant manual adjustment.

(more…)

September 26, 2023

Contemporary Algorithms Theory and Applications Volume III

By  E-Books  0 Comments

Free Download Contemporary Algorithms: Theory and Applications Volume III
English | 2023 | ISBN: 9798886979060 | 442 pages | True PDF | 39.45 MB
The book provides different avenues to study algorithms. It also brings new techniques and methodologies to problem solving in computational Sciences, Engineering, Scientific Computing and Medicine (imaging, radiation therapy) to mention a few. A plethora of algorithms which are universally applicable is presented on a sound analytical way. The chapters are written independently of each other, so they can be understood without reading earlier chapters. But some knowledge of Analysis, Linear Algebra and some Computing experience is required. The organization and content of the book cater to senior undergraduate, graduate students, researchers, practitioners, professionals and academicians in the aforementioned disciplines. It can also be used as a reference book and includes numerous references and open problems.

(more…)

September 26, 2023

Algorithms Technology, Culture, Politics

By  E-Books  0 Comments

Free Download Algorithms; Technology, Culture, Politics; 1
by Matzner Tobias
English | 2023 | ISBN: 1032290595 | 193 pages | True PDF | 7.33 MB
Technology, Culture, Politics develops a relational, situated approach to algorithms. It takes a middle ground between theories that give the algorithm a singular and stable meaning in using it as a central analytic category for contemporary society and theories that dissolve the term into the details of empirical studies. The book discusses algorithms in relation to hardware and material conditions, code, data, and subjects such as users, programmers, but also "data doubles". The individual chapters bridge critical discussions on bias, exclusion, or responsibility with the necessary detail on the contemporary state of information technology. The examples include state-of-the-art applications of machine learning, such as self-driving cars, and large language models such as GPT. The book will be of interest for everyone engaging critically with algorithms, particularly in the social sciences, media studies, STS, political theory, or philosophy. With its broad scope it can serve as a high-level introduction that picks up and builds on more than two decades of critical research on algorithms.

(more…)