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

Parallel genetic algorithms, models and implementations, attempts to exploit the intrinsically parallel nature of genetic algorithms. By distributing the total population, these models ref1ects a bebaviour nearer to that...

Structural health monitoring (SHM) has become a central tool for managing civil infrastructure. In modern SHM, the physical structure and the SHM system together form a coupled cyber-physical system. Due to the networked...

In the effort to digitize Micro, Small, and Medium Enterprises (MSMEs) at DINKOPUKM Salatiga, several issues have been identified. These include recurring disruptions to wifi during operational activities, computers with...

Microelectronic computers have encountered challenges in meeting all of today’s demands for information processing. Meeting these demands will require the development of unconventional computers employing alternative p...

Object detection is a central task in computer vision, with wide adoption in real-world applications such as surveillance systems, autonomous driving, healthcare monitoring, and smart devices. Models such as YOLOv8, SSD,...

Dear Readers,It gives me great pleasure to announce the fourth regular issue of 2026. In this issue, 6 papers by 25 authors from 6 countries - Colombia, Greece, Mexico, Republic of Serbia, South Africa, Türkiye ...

Monitoring chicken health is essential for maintaining the production efficiency of poultry farms and meeting the demand for poultry products. Previous studies have explored various methods, including utilizing sound, be...

The article analyzes current trends in the implementation of artificial intelligence (AI) technologies in manufacturing in the European Union. It is established that since 2018, the EU has evolved from the formation of b...

Plastic waste is a significant environmental concern, constituting a major portion of the global waste stream. Improper disposal and accumulation have led to severe environmental challenges, including pollution, harm to ...

At the present time, the reliance on computers is increasing in all aspects of life, so it is necessary to protect computer networks and computing resources from complex attacks against the network. This is done by build...

Face verification plays an important role in computer vision, especially in mobile and embedded systems with limited computational capacity. This study proposes a face verification system based on the Siamese Neural Netw...

Modern computers present a big gap between peak performance and sustained performance. There are many reasons for this situation, but mainly involving an inefficient usage of computational resources. Nowadays the memory ...

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...

Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs enable learning data-driven, highly represen...

Modern computers present a big gap between peak performance and sustained performance. There are many reasons for this situation, but mainly involving an inefficient usage of computational resources. Nowadays the memory ...

The increase of the complexity of scienti c applications that use high performance computing require more e cient Input/Output (I/O) systems. In order to e ciently use the I/O is necessary to know its performance capacit...

Every day, new technologies are developed to combine the facilities arranged for shared memory systems with the facilities that provide distributed memory systems. This paper proposes a hybrid system that enables communi...

Chip-multiprocessor systems or CMPs have emerged as a high-perfomance organization for the increasing number of transistors available on a chip, and are projected to dominate the market of server and desktop computers. C...

Educational Modeling Languages (EMLs) have been proposed to support the modeling of units of learning enabling the description of different pedagogical approaches. Eventually, such models are intended to support the oper...

Fault tolerance has become an important issue for parallel applications in the last few years. The parallel systems' users want them to be reliable considering two main dimensions, availability and data consistency. Avai...

Human-computer interfaces require models of dialogue structure that capture the variability and unpredictability within dialogue. In this paper, taking as starting point P systems, and by extending it to the concept of ...

1957 marked the beginning of modern education in computing in Argentina. I was lucky enough to live this part of the history. After issuing an international bid that year, all members of a special commission from the Uni...

Features such as fast response, storage efficiency, fault tolerance and graceful degradation in face of scarce or spurious inputs make neural networks appropriate tools for Intelligent Computer Systems. A neural network ...