Network intrusion detection for IoT security based on learning techniques
Pervasive growth of Internet of Things (IoT) is visible across the globe. The 2016 Dyn
cyberattack exposed the critical fault-lines among smart networks. Security of IoT has …
cyberattack exposed the critical fault-lines among smart networks. Security of IoT has …
Transforming big data into smart data: An insight on the use of the k‐nearest neighbors algorithm to obtain quality data
The k‐nearest neighbors algorithm is characterized as a simple yet effective data mining
technique. The main drawback of this technique appears when massive amounts of data …
technique. The main drawback of this technique appears when massive amounts of data …
Fast-lio2: Fast direct lidar-inertial odometry
This article presents FAST-LIO2: a fast, robust, and versatile LiDAR-inertial odometry
framework. Building on a highly efficient tightly coupled iterated Kalman filter, FAST-LIO2 …
framework. Building on a highly efficient tightly coupled iterated Kalman filter, FAST-LIO2 …
The Colocation Quotient: A New Measure of Spatial Association Between Categorical Subsets of Points. 协同区位商: 点集分类子集间空间关联性的新度量标准
TF Leslie, BJ Kronenfeld - Geographical Analysis, 2011 - Wiley Online Library
本文提出了一个称之为协同区位商的新度量标准, 该度量设计用于(潜在不对称的)
一个自身可能存在空间自相关的样本中不同组分间的空间关联性的定量度量 …
一个自身可能存在空间自相关的样本中不同组分间的空间关联性的定量度量 …
Projection-based model reduction: Formulations for physics-based machine learning
This paper considers the creation of parametric surrogate models for applications in science
and engineering where the goal is to predict high-dimensional output quantities of interest …
and engineering where the goal is to predict high-dimensional output quantities of interest …
[图书][B] An introduction to machine learning
M Kubat - 2017 - Springer
Machine learning has come of age. And just in case you might think this is a mere platitude,
let me clarify. The dream that machines would one day be able to learn is as old as …
let me clarify. The dream that machines would one day be able to learn is as old as …
A two-layer dimension reduction and two-tier classification model for anomaly-based intrusion detection in IoT backbone networks
With increasing reliance on Internet of Things (IoT) devices and services, the capability to
detect intrusions and malicious activities within IoT networks is critical for resilience of the …
detect intrusions and malicious activities within IoT networks is critical for resilience of the …
Structure from motion photogrammetry in physical geography
MW Smith, JL Carrivick… - Progress in physical …, 2016 - journals.sagepub.com
Accurate, precise and rapid acquisition of topographic data is fundamental to many sub-
disciplines of physical geography. Technological developments over the past few decades …
disciplines of physical geography. Technological developments over the past few decades …
[PDF][PDF] Accelerating t-SNE using tree-based algorithms
L Van Der Maaten - The journal of machine learning research, 2014 - jmlr.org
The paper investigates the acceleration of t-SNE—an embedding technique that is
commonly used for the visualization of high-dimensional data in scatter plots—using two …
commonly used for the visualization of high-dimensional data in scatter plots—using two …
Illuminating search spaces by mapping elites
Many fields use search algorithms, which automatically explore a search space to find high-
performing solutions: chemists search through the space of molecules to discover new …
performing solutions: chemists search through the space of molecules to discover new …