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Partialdelaunaytriangulationanddegreelimitedlocali
- Partial delaunay triangulation and degree limited localized bluetooth scatternet formation- This paper addresses the problem of localized scatternet formation for multi-hop Bluetooth based personal area ad hoc networks. Nodes are assumed to
neuralnetworks
- 包括：人工神经网络电子讲稿 神经网络中数据的归一化 神经网络模型 神经网络函数汇总等 。神经网络从入门到精通都是很有价值的参考教程-Including: artificial neural networks neural networks of electronic speech data in normalized neural network model neural network function summary and so on. Neural network from entry
python_forUnix
- Python is an ideal language for solving problems, especially in Linux and Unix networks. With this pragmatic book, administrators can review various tasks that often occur in the management of these systems, and learn how Python can provide a more ef
Thesis.pdf
- Master thesis on 4G networks
BSMR-in-Multihop-Wireless-Networks-master
- Multihop wireless network simulator for BFMR
physical-methods-of-networks
- 复杂网络研究中常用的几种统计物理学方法（ 平均场理论、主方程、率方程、生成函数的物理背景、 发展历史、 观点、 思想和方法及应用. -Complex network research several commonly used statistical physics methods (mean field theory, master equation, the rate equation, generating physical background function, development
SUMMARY OF ROUTING PROTOCOL IN MOBILE AD HOC NETWORKS
- This summary is based on the work of February, which is focused on reading papers about Ad hoc network and getting familiar with the domain before the research of the Master Subject “Multi-path Routing Protocol for Mobile Ad Hoc Network”. Mobile Ad h
deep-residual-networks-master
- 深度残差网络的介绍与源代码，适合深度学习爱好者学习。这是何凯明大牛的又一部大作。-The depth of the residual network is introduced with the source code , suitable for deep learning lovers to study . This is another masterpiece He Kaiming Daniel .
performance-evaluation
- This master thesis work is focused on measurement based performance analyses of different special multiplexing (SM) modes available in LTE Release 8 networks using the same LTE base stations as used in this study. Field measurements have been carried
maximal-EE-master
- Simulation code for “Deploying Dense Networks for Maximal Energy Efficiency: Small Cells Meet Massive MIMO” by Emil Bjö rnson, Luca Sanguinetti, Marios Kountouris, To appear in IEEE Journal on Selected Areas in Communications http://www.commsys.i
Networks-Lab-10CSL77-master
- smac implemetation using ns2
Tensorflow-Tutorial-master
- TensorFlow是谷歌基于DistBelief进行研发的第二代人工智能学习系统，其命名来源于本身的运行原理。Tensor（张量）意味着N维数组，Flow（流）意味着基于数据流图的计算，TensorFlow为张量从流图的一端流动到另一端计算过程。TensorFlow是将复杂的数据结构传输至人工智能神经网中进行分析和处理过程的系统。(TensorFlow is the second generation of artificial intelligence learning system dev