The proliferation of various devices in our daily lives generates an immense volume of data, necessitating significant storage space and resources. Cloud storage systems are required to manage and meet the storage dem...
详细信息
The existing post ranking algorithms overlook the category and the time interval, which are valuable information to improve the accuracy of algorithms. The category, created by a blogger, implies the interested topics...
详细信息
The advantage of using semantic reasoners based on Description Logics (DL) for the development of intelligent systems is doubtless: They make easy the optimal management of knowledge (expressed as ontologies). Reasoni...
详细信息
The advantage of using semantic reasoners based on Description Logics (DL) for the development of intelligent systems is doubtless: They make easy the optimal management of knowledge (expressed as ontologies). Reasoning is a complex and computationally expensive task traditionally performed on powerful server and desktop computers. However, we should not discard reasoners from being used on mobile devices such as smartphones or tablets, as the increasing number of applications run on wireless environments demands that many intelligent tasks should be performed on mobile devices rather than on desktop or server computers. Although less powerful that their fixed counterparts, mobile devices are becoming more and more capable of running complex tasks, such as DL reasoning. In this paper we introduce the framework of a competition for reasoners on mobile devices, based on the OWL Reasoner Evaluation, with the main goal of promoting the development of reasoners adapted to mobile environments. We detail the format of such a competition including the kind of tasks that participating reasoners should execute, interesting results of such executions, and the kind of ontologies and devices that could be used to run such tests.
Data redundancy is occurs for two reasons: one is sensor coverage duplication and the other one is sensor event. We propose a novel clustering method that considers node sensor coverage and event. Also our method intr...
详细信息
Feature selection is an indispensable activity in machine learning, which aims at identifying the relevant predictors from a very high dimensional feature space to improve the performance and reduce the learning time ...
详细信息
This paper shows how convolutional neural networks (CNNs) are useful for accurately and quickly diagnosing skin issues, underscoring the need of utilizing state-of-the-art machine learning approaches for accurate and ...
详细信息
Learning management systems (LMSs) provide their users with the appropriate environments and tools to author, monitor and engage in collaborative learning activities. The unstructured collaboration spaces and the doma...
详细信息
Landslides pose significant threats to human life, infrastructure, and the environment, making timely detection crucial for effective disaster management. This research paper introduces a novel approach to landslide d...
详细信息
This work presents a fuzzy mechanism for selecting the optimum cluster head (CH) inside a cluster. During the preliminary simulations, different parameters with different weights are taken into account to make sure th...
详细信息
The main objective of the work is to improve the clustering efficiency and performance when we deal with very big datasets. This paper aims to improve the quality of XML data clustering by exploiting more features ext...
详细信息
暂无评论