Web Proxy Cache Replacement Strategies: Simulation, Implementation, and Performance Evaluation

Posted By: AvaxGenius

Date: 5 May 2022 11:41:08

Web Proxy Cache Replacement Strategies: Simulation, Implementation, and Performance Evaluation by Hala ElAarag
English | PDF | 2013 | 109 Pages | ISBN : 1447148924 | 5.8 MB

This work presents a study of cache replacement strategies designed for static web content. Proxy servers can improve performance by caching static web content such as cascading style sheets, java script source files, and large files such as images. This topic is particularly important in wireless ad hoc networks, in which mobile devices act as proxy servers for a group of other mobile devices. Opening chapters present an introduction to web requests and the characteristics of web objects, web proxy servers and Squid, and artificial neural networks.

Cache Replacement Cache NNPCR Neural Networks Neural Networks Training Proxy Cache Web Proxy Proxy Server Science Computer Modelling Computer Communication Networks System Performance Computer Science

Details

A Learner’s Guide to Fuzzy Logic Systems, 2nd Edition

Posted By: IrGens

Date: 25 Apr 2022 01:05:14

A Learner’s Guide to Fuzzy Logic Systems, 2nd Edition

Non-Fiction Engineering Fuzzy Logic Systems Neural Networks Genetic Algorithms

Details

Deep Learning e Reti Neurali con Python: il Corso Completo

Posted By: Sigha

Date: 23 Apr 2022 00:15:23

Deep Learning e Reti Neurali con Python: il Corso Completo
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 4.38 GB
Genre: eLearning Video | Duration: 139 lectures (12 hour, 53 mins) | Language: Italiano

Apprendi i segreti del Deep Learning e impara a creare le tue Reti Neurali Artificiali con Python, Keras e Tensorflow.

More Courses In Italiano Development Data Science Neural Networks

Details

Soft Computing and Signal Processing: Proceedings of 3rd ICSCSP 2020, Volume 2

Posted By: AvaxGenius

Date: 17 Apr 2022 19:15:08

Soft Computing and Signal Processing: Proceedings of 3rd ICSCSP 2020, Volume 2 by V. Sivakumar Reddy
English | PDF | 2022 | 663 Pages | ISBN : 981161248X | 101.5 MB

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third International Conference on Soft Computing and Signal Processing (ICSCSP 2020). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

Soft Computing Neural Networks Big Data Analytics Data Analytics Cloud Computing Signal Processing Communication Computational Signal Processing Signal Processing Science

Details

Artificial intelligence - When do machines take over?

Posted By: AvaxGenius

Date: 15 Apr 2022 13:11:37

Everybody knows them. Smartphones that talk to us, wristwatches that record our health data, workflows that organize themselves automatically, cars, airplanes and drones that control themselves, traffic and energy systems with autonomous logistics or robots that explore distant planets are technical examples of a networked world of intelligent systems. Machine learning is dramatically changing our civilization. We rely more and more on efficient algorithms, because otherwise we will not be able to cope with the complexity of our civilizing infrastructure.

Abstract machine Big Data Intelligent Systems AI Natural Intelligence Neural Networks Superintelligence SMART Manufacturing Science Artificial intelligence Science Algorithms

Details

Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks (Repost)

Posted By: AvaxGenius

Date: 23 Mar 2022 22:55:23

Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks (Repost)

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands of online learners.

TensorFlow Deep Learning Machine Learning Neural Networks Convolutional Neural Network Deep Learning Fundamentals Recurrent Neural Network

Details

Wavelets in Neuroscience

Posted By: AvaxGenius

Date: 23 Mar 2022 00:48:28

Wavelets in Neuroscience by Alexander E. Hramov
English | PDF | 2021 | 397 Pages | ISBN : 3030759911 | 13.2 MB

This book illustrates how modern mathematical wavelet transform techniques offer fresh insights into the complex behavior of neural systems at different levels: from the microscopic dynamics of individual cells to the macroscopic behavior of large neural networks. It also demonstrates how and where wavelet-based mathematical tools can provide an advantage over classical approaches used in neuroscience. The authors well describe single neuron and populational neural recordings.

Science Data Analysis Neurophysics Neurophysiology Neurodynamics Analysis Wavelet Theory Neuronal Networks Physics Medical Physics Biophysics Mathematical Models Neural Networks Neurosciences Complexity Graph Theory Cognitive Processes

Details

Neural Networks with Keras Cookbook (Repost)

Posted By: step778

Date: 11 Mar 2022 14:16:50

Neural Networks

Details

Generative Adversarial Networks Cookbook (Repost)

Posted By: DZ123

Date: 23 Feb 2022 19:52:36

Generative Adversarial Networks Cookbook (Repost)

Josh Kalin, "Generative Adversarial Networks Cookbook: Over 100 recipes to build generative models using Python, TensorFlow, and Keras"
English | 2018 | ISBN: 1789139902 | PDF | pages: 261 | 8.8 mb

Programming Neural Networks

Details

Artificial Intelligence for Automated Pricing Based on Product Descriptions

Posted By: AvaxGenius

Date: 21 Feb 2022 23:23:22

This book highlights artificial intelligence algorithms used in implementation of automated pricing. It presents the process for building automated pricing models from crawl data, preprocessed data to implement models, and their applications. The book also focuses on machine learning and deep learning methods for pricing, including from regression methods to hybrid and ensemble methods. The computational experiments are presented to illustrate the pricing processes and models.

Machine Learning Intelligence algorithms E-commerce Crawl data Ensemble methods Pricing prediction NLP techniques NLP Computational Intelligence Artificial Intelligence Mathematical Models Neural Networks Cognitive Processes Deep Learning Science

Details

Neural Networks and Artificial Intelligence for Biomedical Engineering

Posted By: AvaxGenius

Date: 19 Feb 2022 19:45:26

Neural Networks and Artificial Intelligence for Biomedical Engineering by Donna L. Hudson
English | PDF | 1999 | 314 Pages | ISBN : 0780334043 | 9.7 MB

Using examples drawn from biomedicine and biomedical engineering, this essential reference book brings you comprehensive coverage of all the major techniques currently available to build computer-assisted decision support systems. You will find practical solutions for biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision aids, including hybrid systems.

Science Artificial Intelligence Biomedical Engineering Engineering Neural Networks

Details

Proceedings of First International Conference on Computational Electronics for Wireless Communications: ICCWC 2021

Posted By: AvaxGenius

Date: 19 Feb 2022 12:36:40

This book includes high-quality papers presented at Proceedings of First International Conference on Computational Electronics for Wireless Communications (ICCWC 2021), held at National Institute of Technology, Kurukshetra, Haryana, India, during June 11–12, 2021. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in computational electronics with an emphasis on wireless communications. The topics covered in the book are radio frequency and microwave, signal processing, microelectronics and wireless networks.

Computational Electronics Wireless Communications Electromagnetic Interference Computer Aided Design Computational Electromagnetics Spectrum Management Mobile Computing Wireless Computing Electromagnetic Wireless Neural Networks Deep Neural Networks

Details

Python neural networks from scratch. Build them step by step

Posted By: BlackDove

Date: 16 Feb 2022 22:12:15

Understand linear regression, gradient descent and many more by building neural networks without libraries or frameworks

eLearning Video udemy Neural Networks Data Science

Details

Nature-Inspired Computing for Control Systems

Posted By: AvaxGenius

Date: 16 Feb 2022 14:11:02

Nature-Inspired Computing for Control Systems by Hiram Eredín Ponce Espinosa
English | PDF | 2016 | 295 Pages | ISBN : 3319262289 | 10.9 MB

The book presents recent advances in nature-inspired computing, giving a special emphasis to control systems applications. It reviews different techniques used for simulating physical, chemical, biological or social phenomena at the purpose of designing robust, predictive and adaptive control strategies.

Adaptive Control Systems Neural Networks Neural Network Science Optical Flow Models Engineering Computational Intelligence Artificial Intelligence Control Systems

Details

Artificial Neural Networks and Machine Learning – ICANN 2021 (Repost)

Posted By: AvaxGenius

Date: 14 Feb 2022 15:39:40

Artificial Neural Networks and Machine Learning – ICANN 2021 (Repost)

Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part III by Igor Farkaš
English | EPUB | 2021 | 708 Pages | ISBN : 3030863646 | 100.2 MB

The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes.

Development computer networks computer systems Artificial Neural Networks computer science image analysis neural networks pattern recognition mathematics Machine Learning information retrieval machine learning image processing Neural Network signal processing Neural Networks

Details

Publication archive