ICACS

In this paper, the authors present a system, CashTagNN, which uses the sentiment and subjectivity scores of tweets that include cashtags to model stock market movement, and in particular, predict opening stock market prices. Currently, the system ...

The present paper provides a new algorithm for distributed optimization of Mixed-Integer Nonlinear Programs (MINLPs) with separable, affinely coupled decision variables. The algorithm is based on a standard branch and bound method but extended to allow ...

Uncertainties included in soft classification exist in classical mathematics. However, in daily life, the extended fuzzy concept has much information and due to the large applications of fuzzy numbers, the ranking of numbers plays a very important role ...

Manpower is indispensable in a construction project. With a lot of available jobs in the construction industry, there is no doubt that the manpower available in the country is not enough and therefore affecting the production of houses in the country. ...

Deep learning has become an increasingly heated topic as artificial intelligence is on the rise. At the same time, hardware restrictions in real applications have driven the investigation of combining another rising technique, stochastic computing (SC), ...

Convolutional Neural Network (CNN) is one of the promising algorithms used in fault classification for machine's Predictive Maintenance. With available data, the key challenge of Predictive Maintenance is how to gain insight of failures and take a ...

The purpose of this study is to research and explore the clustering algorithm, and provide methods for clustering characteristics evaluation and clustering dimension selection, in order to help the user to understand the impact and meaning of clustering ...

Today, and across the world, denial of service attacks has increased by a significant frequency and takes different forms. The costs of downtime, outages and failures caused by these attacks are very important.

To detect these types of attacks via the ...

The threat of malware attacks on Android mobile devices is an ever-growing one, as usage and sophistication increases. As the Android OS is fairly new in the overall set of operating systems, there is much need and room for research in the area of ...

The mixed-integer extension of the well-known Augmented Lagrangian Alternating Direction Inexact Newton (ALADIN) method has been shown to have favourable results for a number of different problems from battery scheduling to reactive power dispatch. ...

Blockchain as a novel technology has shown the capacity to transform multiple sectors. Due to opportunities such as data security, transparency, privacy and interoperability presented by decentralized applications on blockchain networks, organizations ...

The ALICE (A Large Ion Collider Experiment) experiment at the CERN (European Organization for Nuclear Research) LHC (Large Hadron Collider) is preparing for the LHC Run3, beginning in 2021, with a detector and computing upgrade. On the computing side, a ...

Teamwork ability is a crucial aspect of humans, agents and other intelligent systems. This study is dedicated to the conceptual formal modeling of service teamworking by considering concepts defined within a vast range of models and theories of human ...

The modern industry necessitates gaining the real-time location of indoor objects to trigger related services and enhance efficiency. To devise effective localization algorithms concerning various metrics under different scenarios becomes much ...

The wireless sensor network (WSN) has been gaining attraction in all fields. The range of sensors integrated into related applications is exploding. In fact, the future is moving towards the Internet of Things (IoT) and it is predicable to need ...

Optimization of manufacturing schedules is of great theoretical and practical significance, especially when high-tech products are produced in large manufacturing networks with global supply chains. In this paper, a novel approach is described how ...

This paper is based on results obtained during the research project IQ-Control. The main objective of the project targets the enrichment of a conventional perception-based 3D line scanning sensor data with methods of deep learning, in order to identify ...

Phase congruency is a significant feature detection and measurement method. It is a robust approach against variation in image contrast and illumination. This paper proposed three novel techniques for developing face recognition software based human ...