ICISDM

Although artificial intelligence has just started, it has accumulated some industrial integration cases. Based on the internal demand of fashion industry development, this study focuses on the absorption of intelligent technology by fashion culture ...

This paper studies the possibility of implicitly exploiting the characteristics of the In-phase and Quadrature components (I/Q components) of a transmitter using deep learning techniques for the problem of uncooperative direction finding using a single ...

The development of ICTs in the globalized world has forced countries to develop problems or implement affected problems because new vulnerabilities have always been presented every day, so not having implemented a standard security standard brings ...

Betweenness centrality of a set of vertices can be seen as a measure of the control of flow of information that the set has within a network. We introduce the notion of saturated betweenness centrality set, which is defined as a set whose betweenness ...

Influenza virus is an infectious disease. This caused by influenza virus. The symptoms consist of high fever, runny nose, sore throat, muscle and joint pain. In this paper, we construct the mathematical model for the transmission of influenza virus.We ...

The development of a prototype of computer audits has become more important for the administration and auditors of public companies. In this study, crucial control elements were explored to meet the safety conditions that a public company must have; In ...

With the rapid development of e-commerce, online reviews became an important source of information which can contribute to customers' decision making, reducing the uncertainty and risk of online shopping. However, not all online reviews can affect ...

Information security is one of the most important aspects in organizations that has been constantly developing, driven by advances in Information and Communication Technologies. It should be noted that such development also entails the constant ...

Security problems due to cyberattacks were analyzed, checked security models designed to protect and preserve databases of information from these institutions, using all the parameters of information security. It is planted propose a prototype of a ...

This work contains information on technological advances in various public institutions in Ecuador, to improve the quality of services to users from government management. The objective was to design a prototype that is an alignment model for the ...

Compliance with the information system (IS) security policy is an established theme in IS research for protecting the IS from user actions. The unified model of information security policy compliance (UMISPC) is a recent development within the research ...

This paper proposes a Twitter Data collection method using some Python libraries to automatically read and process the raw collected data "Tweets" from the Twitter streaming API, where the returned Tweets are encoded in the lightweight JSON data-format. ...

Brain-Computer Interfaces (BCIs) facilitate communication between brains and computers. As these devices become increasingly popular outside of the medical context, research interest in brain privacy risks and countermeasures has bloomed. Several ...

In this paper, we performed a comparison study between GoogLeNet, AlexNet, and InceptionV3 deep learning models to recognize and classify colorectal cancer tumors. Colorectal tumors are one of the very common cancer types and early detection could ...

Currently, the use of technological resources, within public and private institutions, has become essential, due to the need to modernize processes, high commercial needs and mandatory continuous improvement. A problem has been observed at the national ...

Shoulder arthroscopy is a common surgery to diagnose and treat tears to improve patient's quality of life. Quality of cleaning the tear during shoulder arthroscopy significantly affects the outcome of the surgery. Appropriate cleaning is necessary to ...

This paper addresses the task of unsupervised scale-invariant slide detection for video presentations, which aims to detect slides and index them with an appropriate location in the presentation video. We propose two new methods that improve on Scale-...

This paper discusses concept drift in online streaming data and evaluates the performance of different Extreme Learning Machine (ELM) based techniques on classifying online streaming data in the presence of concept drift. It also compares the ...

Shipping services are essential for transporting products, especially with the increasing demand for online shopping. There are two common types of shipping services, which are postal services and package delivery. Both are using a vehicle -- with the ...

Employees leave an organization when other organizations offer better opportunities than their current organizations. Continuity and sustenance and even completion of jobs are crucial issues for the companies not to suffer financial losses. Especially ...

The rise of Internet and the development of platform economy lead the brand construction to enter the stage of ecological development. Based on the development of Internet and platform economy, this study analyzes the elements and influencing factors of ...

Nowadays, the volume of the information gathered by any organization increases more and more rapidly. It is essential to be able to use this information efficiently for it to benefit the operation of the organization. There is no point of gathering the ...

Disciplined practice of software architecture, and the broader encompassing discipline of software design, is fundamental to a project's success in every stage of the software life cycle. Choosing and implementing an appropriate architecture maximizes ...

This works presents a design and development of Virtual Rotator Cuff Arthroscopic Skill Trainer (ViRCAST) and its preliminary subject study analysis using machine learning approach. Arthroscopy is a minimally invasive surgical intervention regarded as a ...

It was analyzed to different proposals about cyberbullying to identify online parameters through approaches, models, architecture, algorithm and assessments. The problem is the lack of a security algorithm when sharing information to a social network in ...

Probabilistic Graph Neural Network (PGNN) introduced here proposes a machine learning application that combines deep learning on graphs with probabilistic modeling, to account for uncertainty in both inputs and outputs. Graph neural network models (GNNs)...

Payment card fraud is a growing problem in the United States. Credit and debit card numbers are harvested from automated devices such as fuel dispensers, Point of Sale (POS) terminals, and Automated Teller Machines (ATMs) in a process known as "skimming"...