Future sixth-generation (6G) networks will rely on the synergies of edge computing and machine learning (ML) to build an intelligent edge, where communication resources be jointly orchestrated. In this work, we leverage ML algorithms judiciously orchestrate placement delay-constrained tasks in a softwarized domain. A set popular supervised algorithms, i.e., Decision Tree (DT), Bagged Trees (BTs...

The process which attaches label to a digital image by understanding the contents of image is termed as Automatic Image Annotation (AIA). Color and texture are the prominent features of a digital image. The content based image understanding is possible by using the feature strength of color and texture of an image. A classifier is designed using Decision Trees (DT) and Rough Sets (RS) to tag un...

In the current study, the performances of some decision tree (DT) techniques are evaluated for postearthquake soil liquefaction assessment. A database containing 620 records of seismic parameters and soil properties is used in this study. Three decision tree techniques are used here in two different ways, considering statistical and engineering points of view, to develop decision rules. The DT ...

High-resolution remote-sensing images can be used in human activity analysis and criminal monitoring, especially sparsely populated zones. In this paper, we explore the applicability of China’s Gaofen satellite land cover classification Xinjiang, China. First all, features spectral reflectance a normalized radar cross section (NRCS) for different types covers were analyzed. Moreover, seasonal v...

Recent drought and population growth are planting unprecedented demand for the use of available limited water resources. Irrigated agriculture is one of the major consumers of fresh water. Huge amount of water in irrigated agriculture is wasted due to poor water management practices. To improve water management in irrigated areas, models for estimation of future water requirements are needed. D...

In this paper, we present a hardware friendly binary decision tree (DT) classifier for gas identification. The DT classifier is based on an axis-parallel decision tree implemented as threshold networks—one layer of threshold logic units (TLUs) followed by a programmable binary tree implemented using combinational logic circuits. The proposed DT classifier circuit removes the need for multiplica...

Compared with the previous generation of High Efficiency Video Coding (HEVC), Versatile (VVC) introduces a quadtree and multi-type tree (QTMT) partition structure nested multi-class trees so that coding unit (CU) can better match video texture features. This makes compression efficiency VVC significantly improved, but computational complexity is also increased, resulting in an increase encoding...

Even with emerging technologies, such as Brain-Computer Interfaces (BCI) systems, understanding how our brains work is a very difficult challenge. So we propose to use a data mining technique to help us in this task. As a case of study, we analyzed the brain's behaviour of blind people and sighted people in a spatial activity. There is a common belief that blind people compensate their lack of ...

It is very important for investors and creditors to understand the critical factors affecting a firm’s value before making decisions about investments and loans. Since the knowledge-based economy has evolved, the method for creating firm value has transferred from traditional physical assets to intangible knowledge. Therefore, valuation of intangible assets has become a widespread topic of inte...