ICISDM

The ordinal relations in word sequence and character sequence can reflect the latent information about writing style, genre features and topic. Thus, the ordinal relations are important information and should be considered for text clustering. However, ...

Word embedding models learn a distributed vectorial representation for words, which can be used as the basis for (deep) learning models to solve a variety of natural language processing tasks. One of the main disadvantages of current word embedding ...

The exponential growth of electronic form of textual documents in both public and proprietary storage force researchers to find way to efficiently extract meaningful, actionable information from these documents. Document clustering has find its niche in ...

The continually increasing number of complex datasets each year necessitates ever improving machine learning methods for robust and accurate categorization of these data. This paper introduces Random Multimodel Deep Learning (RMDL): a new ensemble, deep ...

The paper describes the use of Deep Convolution Neural Networks (DCNN) for the recognition of Snow Leopards, from a data set of photos taken in the wild. The data set comprises of 1500 images, captured in the Himalayas using motion sensing cameras. The ...

In this paper we describe the application of machine learning techniques to the prediction of hospital Intensive Care Unit (ICU) patient mortality. A large dataset of over 58,000 ICU admissions from the MIMIC III database was used in the development, ...

It is important to secure personally identifiable and confidential information stored on portable devices such as laptops, and smartphones. Data is more appealing for thieves than the hardware itself. Encryption is the paramount protection measure to ...

Complex and Adaptive Systems (CAS) consists of large number of elements that are connected with each other and interact in distributed manner. CAS exhibits random behavior which cannot be pre determined and is a result of non-linear interaction of large ...

The microfinance sector has a strategic role since they facilitate integration and development of all social classes to sustained economic growth. In this way the actual point is the exponential growth of data, resulting from transactions and operations ...

In a traditional survey [1] of 75 respondents, black was either the first color of choice or the second. This raises the question, is the choice of black color by chance or the choice of the respondents is cognitively influenced? To address this ...

Nutritional deficiencies detection for coffee leaves is a task which is often undertaken manually by experts on the field known as agronomists. The process they follow to carry this task is based on observation of the different characteristics of the ...

The smart cities of modern nations rely on the smooth flow of transportation that depends on the predictions of the traffic flow patterns. Since last few years, deep learning based methods have emerged to show better results for short-term traffic ow ...

Online banking is a fast-growing trend in developing countries. It enables people to make banking transactions without going to the bank. Online banking can be performed on any device that is connected to the Internet such as laptop, desktop and mobile ...

Software Defined Networking paradigm is being attracted worldwide to carry out the research. SDN presents empowering programmable system segments to isolate control plane and forwarding plane. The advantages of SDN paradigm are energy reduction, high ...

This analysis proposes a decision tree for selecting cross-device communication technologies for iOS and Android mobile devices. This tree accelerates the selection of cross-device technologies by taking into account known use cases of interaction. Five ...

With the increasing progress of high performance computing infrastructure, it has become necessary to design and implement easy to use tools that are able to translate any legacy software application to parallel. A deep observation of the existing tools ...

As future transportation systems evolve, new in-vehicle network designs are required to handle the heterogeneous data generated by different Electronic Control Modules (ECUs). Enabling interaction between these data sources can trigger innovation and ...

As computer systems have become an integral part of every organization, it is a big challenge to safeguard the computer systems from malicious activities which compromise not only the systems but also the data stored within. Traditional malware and ...

In this paper, we describe the design and development of a web-based project management and evaluation system for group work and peer learning. Using this system, the instructor can dynamically manage projects submitted from students and form student ...

Requirements change has a remarkable influence on the success of software development. Managing software requirements change needs get more clues from the view of knowledge management. The methodology of this research is driven by knowledge management, ...

The purpose of this research paper is to develop a management system of community enterprise's distribution center in the form of Automation Managed Inventory System (AMI) and base on the concept of Vendor-managed inventory (VMI) system, which is ...

A certain degree of private ownership of military human capital determines the uncertainty of its supply. simply by the efforts of monitoring that can not completely solve the problem of the owners of military human capital, as well as really solve the ...

Encounter the enhancing challenge of globalization and knowledge economy, Chinese knowledge capital owners adapting to the new environment accordingly. The purpose of this paper is to boost the theoretical understanding of the return pressure of the ...

The intention of this article is to simplify the study of value co-creation both from a deeper theoretical discourse, including knowledge networks approach. The study's approach is from the perspective of knowledge sharing, in form of interaction and ...

Ecological security prediction of land resources play an important role in sustainable utilization of land resources and improve benefit of healthy development of urbanization in China. So far, many methods for regional ecological security prediction ...

This study is addressed to the issues of improving the creativity of deaf Students in graphic design using contextual teaching learning (CTL). Various researches have highlighted the ability of the deaf students in graphic design skill and also provided ...

This paper discusses an outdoor guidance system that can be implemented on a smartphone. The purpose of such a system would be to assist the blind or visually impaired. The system will be able to detect the ground, find obstacles, and notify the user ...

Aiming at the problem that the transit-time ultrasonic flow meter is unstable when the flow field is not uniform, a method of combining the judgment of AD (Analog-to-Digital) sampling with the TDC (Time-to-Digital Converter) high-precision timing is ...

This is a survey paper on various types of virtual reality locomotion systems. This paper will be examining results and making comments on their implementations and techniques in an attempt to see where the virtual reality industry is heading in the ...

Feature extraction - the process of choosing feature types that can represent and discriminate between dataset topics - is one of the critical steps in text classification and varies with the language of the texts. Different feature types have been ...