Cerca risorse accademiche

A fundamental challenge in personalized news recommendation is to account for the notion of trust. In this work we show how the notion of trust can be qualitatively modeled and incorporated into the architecture of a new...

Abstract Medical picture categorization has been greatly enhanced by the use of deep learning, especially in the timely identification of skin lesions. Still, predictions from a single model remain unreliable due to thei...

Abstract The electrification of vehicle helps to improve its operation efficiency and safety. Due to fast development of network, sensors, as well as computing technology, it becomes realizable to have vehicles driving a...

Materie / parole chiave: MORRIS MANO, M; PRENTICE-HALL; 621.392 M285c2

We describe the design, implementation and deployment of the multi-level agent-based system architecture developed for the SEWASIE project. The aim of the system is to help the user in querying heterogeneous data sources...

Enterprise Architecture Debt (EAD) refers to the accumulation of architectural misalignments and suboptimal decisions that hinder an organization’s agility, performance, and long-term sustainability. While previous res...

Materie / parole chiave: LIANG SSU-CH'ENG; THE MIT PRESS; 720.951 L693p

Materie / parole chiave: CYPSER, R. J; ADDISON-WESLEY PUBLISHING; 005.71 C996c

Materie / parole chiave: LIPPIATT, ARTHUR G; PRENTICE-HALL INTERNATIONAL; 004.22 L765a

This work describes a multi agent system designed to support the management of tacit knowledge that belongs to people of an organization. This is a distributed knowledge management system based on the use of mobile agent...

A Federated System is a collection of independent, cooperative, possibly heterogeneous and autonomous computer systems (usually database systems) which allows sharing all or some of its data. A Service-oriented Architect...

In this article is presented a detection model of intruders by using an architecture based in agents that imitates the principal aspects of the Immunological System, such as detection and elimination of antigens in the h...

In this paper we present the SEWASIE system, a multi-level agent-based architecture for querying heterogeneous data sources integrated by means of ontologies. Main features of this system are: two level data integration ...

In this book, we address landscape architecture, from composition and construction, from the visual and the tectonic, from form and matter. With this, it is intended to configure a basic manual for the student who delves...

This thesis, entitled €High Performance Computing for solving large sparse systems. Optical Diffraction Tomography as a case of study€ investigates the computational issues related to the resolution of linear systems o...

The management of information technology infrastructure at PT Fratama Kencana Gemilang currently faces significant operational challenges in its day-to-day operations. This is due to the device monitoring mechanisms curr...

With the rapid evolution of virtual reality technologies such as digital twins, industrial Internet of Things, edge intelligence, and metaverse, virtual‒reality integration has become a core driving force for the const...

Floods are one of the most frequent and damaging natural hazards in Malaysia, especially in low-lying places, such as Batu Pahat and Johor. National flood monitoring systems, such as InfoBanjir and Malaysian Meteorologic...

Abstract This study seeks to address persistent challenges in traditional music education, particularly the subjectivity inherent in assessment criteria and the frequent delays in feedback, by harnessing the capabilities...

Abstract Real-time interaction with uncertain and dynamic environments is essential for robotic systems to achieve functions such as visual perception, force interaction, spatial obstacle avoidance, and motion planning. ...

Abstract This research is concerned with the innovative use of AI in cross-cultural music learning, more particularly in the creation of a multimodal learning model that combines audio identification, image analysis, and...

Process flow scheduling is a concept that refers to the scheduling of flow shop process plants, whose scheduling calculations are guided by the process structure. In a wide variety of high-volume process industries, the ...

Learning algorithms for neural networks involve CPU intensive processing and consequently great effort has been done to develop parallel implemetations intended for a reduction of learning time. This work briefly descri...

Processors load unbalance in distributed systems is one of the main problems, because ít involves system performance degradation. Load balance algorithms try to improve the system global performance through migration of...