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其他 PNG开放源接口 The interface has been designed to be as simple and intuitive as possible. It supports plo

PNG开放源接口 The interface has been designed to be as simple and intuitive as possible. It supports plotting and reading in the RGB (red, green, blue), HSV (hue, saturation, value/brightness) and CMYK (cyan, magenta, yellow, black) colour spaces, basic shapes, scaling, bilinear interpolation, full ...
https://www.eeworm.com/dl/534/271829.html
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驱动编程 The PCI Local bus concept was developed to break the PC data I/O bottleneck and clearly opens the d

The PCI Local bus concept was developed to break the PC data I/O bottleneck and clearly opens the door to increasing system speed and expansion capabilities. The PCI Local bus moves high speed peripherals from the I/O bus and places them closer to the system’s processor bus, providing faster data t ...
https://www.eeworm.com/dl/618/272788.html
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其他嵌入式/单片机内容 The PCI Local bus concept was developed to break the PC data I/O bottleneck and clearly opens the d

The PCI Local bus concept was developed to break the PC data I/O bottleneck and clearly opens the door to increasing system speed and expansion capabilities. The PCI Local bus moves high speed peripherals from the I/O bus and places them closer to the system’s processor bus, providing faster data t ...
https://www.eeworm.com/dl/687/272789.html
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其他书籍 The PCI Local bus concept was developed to break the PC data I/O bottleneck and clearly opens the d

The PCI Local bus concept was developed to break the PC data I/O bottleneck and clearly opens the door to increasing system speed and expansion capabilities. The PCI Local bus moves high speed peripherals from the I/O bus and places them closer to the system’s processor bus, providing faster data t ...
https://www.eeworm.com/dl/542/272790.html
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人工智能/神经网络 AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a s

AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the use of AdaBoost.
https://www.eeworm.com/dl/650/273260.html
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Java书籍 Threads are essential to Java programming, but learning to use them effectively is a nontrivial task

Threads are essential to Java programming, but learning to use them effectively is a nontrivial task. This new edition of the classic Java Threads shows you how to take full advantage of Java s threading facilities and brings you up-to-date with the watershed changes in Java 2 Standard Edition versi ...
https://www.eeworm.com/dl/656/273622.html
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其他 Basic hack v2.1 by xgx - http://www.ring0.donster.de/ Features: - Smooth Vector Aimbot - Fu

Basic hack v2.1 by xgx - http://www.ring0.donster.de/ Features: - Smooth Vector Aimbot - Full ESP ( Namen,Weapon,Distance,Visible,Far) - polymorph,peb hiding to prevent VAC detection
https://www.eeworm.com/dl/534/281468.html
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单片机开发 QUGR57KZZQXL530VXN2DANZQBJZGCGO6TW9JSWGUBUPN04SCX7UWNV34SCKPZNMBZOJWG1QRBA4X 42GWSVWJX8HWU6ZB6276OA

QUGR57KZZQXL530VXN2DANZQBJZGCGO6TW9JSWGUBUPN04SCX7UWNV34SCKPZNMBZOJWG1QRBA4X 42GWSVWJX8HWU6ZB6276OAM1VRKL5XR3TKID0A0ZEHGX5KRH4VE2KODDFIPCEA4X2VRQ0MLX55I5 1H3A40QYJBUT2QYEPP1M0YYDCKZLFBW5W5XAEXCP1WNMFOSKVDT5TSIB1E0U# Feature: EWAVR-CPP Version: 2.25_WIN standalone license (dongled) (no:1000-124-127- ...
https://www.eeworm.com/dl/648/283109.html
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单片机开发 // // Histogram Sample // This sample shows how to use the Sample Grabber filter for video image p

// // Histogram Sample // This sample shows how to use the Sample Grabber filter for video image processing. // Conceptual background: // A histogram is just a frequency count of every pixel value in the image. // There are various well-known mathematical operations that you can perform on an image ...
https://www.eeworm.com/dl/648/283388.html
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数学计算 This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hier

This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that n ...
https://www.eeworm.com/dl/641/284868.html
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