The proceedings contain 48 papers. The topics discussed include: display of computer-generated vector data by a laser projector;body sensors system for physiological data long-term monitoring;governance model of a cyb...
ISBN:
(纸本)9781450377683
The proceedings contain 48 papers. The topics discussed include: display of computer-generated vector data by a laser projector;body sensors system for physiological data long-term monitoring;governance model of a cybersecurity network: best practices in the academic literature;an algorithmic framework for malicious software detection exploring structural characteristics of behavioral graphs;recommendations concerning the selection of artificial intelligence methods for increasing of cyber-security;understanding the essence of artificial intelligence: towards ecological safety of AI in human society;software platform for retinal disease diagnosis through deep convolutional neural networks;quantum entanglement-based deep convolutional neural networks;theoretical justification of a neural network approach to combinatorial optimization;spatial context identification for an autonomous mobile robot;software improved state control of an autonomous platform;and developing and implementing a labyrinth game for self-assessment.
TheERASMUS+ WORK4CE(Cross-domain competences for healthy and safe work in the 21st century) is a European funded educational project, which aims at bringing patterns, methods and competences for the projectized and di...
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ISBN:
(纸本)9783031618901;9783031618918
TheERASMUS+ WORK4CE(Cross-domain competences for healthy and safe work in the 21st century) is a European funded educational project, which aims at bringing patterns, methods and competences for the projectized and digitalized future of Industry and society. The Industry 4.0 educational module was developed as part of this project with the purpose of giving students introductory knowledge on the key new technologies that are the core of Industry 4.0 so that they can understand the technological challenges of digital transformation. The paper presents the results of developing a framework for implementing the case method for a multidisciplinary project when studying Industry 4.0 module.
This paper investigates the influence of local lag on the reaction forces in a networked virtual maze system incorporating haptic feedback by experiment. In the experiment, participants move a box from the starting po...
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Synchronization is an important concept in parallel computing. students are usually introduced to this topic during their undergraduate studies in courses devoted to operating systems or parallel computing. In this pa...
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The Internet and computer commercialization have transformed the computing systems area over the past sixty years, affecting society. computersystems have evolved to meet diverse social needs thanks to technological ...
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The paper provides an overview of advancements in bird detection and recognition systems using Machine Learning and Artificial Intelligence (AI). It highlights the increasing adoption of wind farms amid rising electri...
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ISBN:
(纸本)9783031820724;9783031820731
The paper provides an overview of advancements in bird detection and recognition systems using Machine Learning and Artificial Intelligence (AI). It highlights the increasing adoption of wind farms amid rising electricity demand, underscoring their environmental impact on avian species. To address these ecological challenges, the development of bird recognition solutions is crucial. The paper analyzes various techniques, including radar systems, sound recognition, Convolutional Neural Networks (CNNs), electromagnetic detection, YOLOv5, and color segmentation, discussing their features, computational costs, and constraints. It concludes that while deep learning models offer superior results, they need a balance between accuracy and speed, alongside training with large and representative datasets. Ultimately, the paper aims to contribute to efforts aimed at mitigating the adverse effects of wind farms on bird populations through advanced technologies. Additionally, through this paper we intend to shed light over the state of the art on bird detection systems and provide insights that intends to solve some of these drawbacks.
Taking into consideration all the restrictions applied worldwide due to the Covid-19 pandemic in the recent couple of years, it is completely understandable why the educational system as well had to adapt and move all...
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Taking into consideration all the restrictions applied worldwide due to the Covid-19 pandemic in the recent couple of years, it is completely understandable why the educational system as well had to adapt and move all its activities online. Even though this kind of approach has turned out to have many advantages, there are certainly still things that could be improved and explored. The main objective of this paper is to highlight the importance and benefits of online learning tools which could assiststudents during their educational process, even under normal circumstances. Hence, we will analyse the characteristics of the current eLearning applications and what each one proposes for the automation of computer-assisted learning using the computer science field.
High-performance and low-power very large-scale integration (VLSI) systems are essential performance parameters for digital electronic technologies. Flip-flops are critical components in VLSI systems because they are ...
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The tremendous development in the use of smart applications, modern communication technologies, and the Internet of Things revolution has made it necessary for the city administration to use these technologies to impr...
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Over the years, several systematic literature reviews have been published reporting advances in tools and techniques for automated assessment in computer Science. However, there is not yet a major bibliometric study t...
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ISBN:
(纸本)9783031330223;9783031330230
Over the years, several systematic literature reviews have been published reporting advances in tools and techniques for automated assessment in computer Science. However, there is not yet a major bibliometric study that examines the relationships and influence of publications, authors, and journals to make these research trends visible. This paper presents a bibliometric study of automated assessment of programming exercises, including a descriptive analysis using various bibliometric measures and data visualizations. The data was collected from the Web of Science Core Collection. The obtained results allow us to identify the most influential authors and their affiliations, monitor the evolution of publications and citations, establish relationships between emerging themes in publications, discover research trends, and more. This paper provides a deeper knowledge of the literature and facilitates future researchers to start in this field.
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