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Mediating Factors Influencing the Relationship Between Environmental Knowledge and Intention to Purchase Eco-Friendly Products in Tunisia 4th

Mediating Factors Influencing the Relationship Between Envir...

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4th International Conference on Digital Technologies and Applications (ICDTA)

作者： Soltani, Ines Lazreg, Hamza Univ Jendouba VPNC Lab FSJEGJ Jendouba Tunisia

ISBN: (纸本)9783031686740;9783031686757

In an era where environmental concerns are on the rise, and societal awareness of humanity's impact on the Earth and its ecosystems is growing, this study aims to address a pivotal question: what are the mediating factors that play a significant role in the relationship between environmental knowledge and intention to purchase eco-friendly products in the Tunisian context? Employing a quantitative approach by surveying 218 respondents, the research utilizes SPSS for scale purification and AMOS for structural equation modeling (SEM). Findings underscore the significant influence of environmental knowledge, attitude towards green products, social influence, and green trust on consumers' intentions to purchase green products in Tunisia. Consequently, these insights offer guidance for marketers, policymakers, and businesses seeking to promote sustainable consumption practices in Tunisia.

关键词： Green products sustainability climate change environmental knowledge green trust

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Estimating the Tendency of Social Media Users to Spread Fake News

Estimating the Tendency of Social Media Users to Spread Fake...

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Intelligent systems Conference (IntelliSys)

作者： Hashemi, Ahmad Shi, Wei Moosavi, Mohammad Reza Giachanou, Anastasia Carleton Univ Sch Informat Technol Ottawa ON Canada Shiraz Univ Dept Comp Sci & Engn Shiraz Iran Univ Utrecht Fac Behav & Social Sci Dept Methodol & Stat Utrecht Netherlands

ISBN: (纸本)9783031477140;9783031477157

The unique characteristics of social media, such as popularity, ubiquitousness, and inadequate supervision, make it a perfect medium for fake news propagation. While users play a critical role in this propagation, not all of them have the same level of impact and involvement. Identifying the news-sharing behaviors of different users and predicting them automatically can be a leading step toward detecting fake news and understanding the factors that contribute to its spread. Previous attempts to detect fake news spreaders have focused on binary classification, assuming users as either spreaders or non-spreaders of fake news. To address this oversimplification, we propose estimating users' tendency to spread fake news by introducing a metric that represents the degree of users' propensity to spread misinformation. Our provided approach is a supervised regression model utilizing text-based features extracted from users' writings on social media. We created and annotated a new dataset based on FakeNewsNet, a popular data repository on fake news detection, to train our model and conduct our experiments. In our experiments, we establish the practicality of our approach by achieving a Root Mean Squared Error (RMSE) of 0.26, using a range of values from 0 to 1 to represent users' inclination to spread fake news. We also demonstrate that utilizing text-based features leads to better performance than using explicit features directly provided by social media.

关键词： Fake news detection Fake news spreader identification Author profiling Machine learning

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Adaptive Learning and Control in E-Learning Under the Dominant Forgetting Hypothesis 13th

Adaptive Learning and Control in E-Learning Under the Domina...

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13th Computer Science Online Conference

作者： Esponda-Perez, Jorge Alberto Anisimova, Tatyana Akbayeva, Xulkar B. Kukhar, Igor Potekhina, Elena Tsarev, Roman UNICACH Tuxtla Gutierrez Mexico Kazan Fed Univ Yelabuga Russia Tashkent State Econ Univ Tashkent Uzbekistan Reshetnev Siberian State Univ Sci & Technol Krasnoyarsk Russia Russian State Social Univ Moscow Russia MIREA Russian Technol Univ RTU MIREA Moscow Russia Bauman Moscow State Tech Univ Moscow Russia

ISBN: (纸本)9783031705946;9783031705953

In the modern paradigm of education, adaptive learning and support of its full cycle by methods, criteria, models and technologies are relevant. Especially important is the application of intelligent learning systems with individualization of the process and learning profile ("digital twins"). The development of adaptive learning requires the analysis of the learning process, its objects and subjects, connections, as well as the transition to new competencies and models of process development based on motivations. In this paper, a system analysis of adaptive learning, a number of classical infological, mathematical models and algorithms of adaptation is carried out. Methods of analysis and synthesis of systems, systems engineering, mathematical modeling and identification algorithms, in particular, the apparatus of differential equations are used. The adaptability of learning is considered taking into account the difficulty of memorization and the ease of forgetting the learning material being mastered. The main results of this study are the system analysis and formulation of the principles of adaptive learning by analogy with the principles of D. Hitchins, as well as the analysis of the possibilities of self-organization of adaptive learning. Mathematical models (deterministic and stochastic) of the process of learning material assimilation with a sub-model of its forgetting are proposed and investigated in the article. Using these models, model situational scenarios (experiments) on identification of parameters and states of the trajectory of the learning process development are constructed and investigated. The relation of adaptive learning to the digital learning paradigm is emphasized. A general algebraic formalization of the adaptive system in the form of a cognitive tuple of object-attributes is proposed. The given results can be applied in practice, for example, in adaptive testing and control of students' knowledge. #CSOC1120

关键词： E-Learning Adaptive Learning Learning Material Model

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Recursive Kalman Filter for Optoelectronic systems 13th

Recursive Kalman Filter for Optoelectronic Systems

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13th Computer Science Online Conference

作者： Sharif, Morteza A. Khodavirdizadeh, Mehdi Bobrovs, Vjaceslavs Urmia Univ Technol Fac Elect Engn Photon Lab Band Rd Orumiyeh Iran Riga Tech Univ Inst Photon Elect & Telecommun LV-1048 Riga Latvia

We develop a modified recursive kalman filter for estimating the dynamical behavior of the nonlinear complex optoelectronic systems. The signal strength is quite fair for the highly noisy measuring data. Moreover, the... 详细信息

ISBN: (纸本)9783031705946;9783031705953

关键词： Recursive Kalman filter Signal to noise ratio optoelectronic systems

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An Early Detection of Autism Spectrum Disorder Using PDNN and ABIDE I&II Dataset

An Early Detection of Autism Spectrum Disorder Using PDNN an...

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International Conference on Artificial Intelligence: Theory and Applications (AITA)

作者： Lamani, Manjunath Ramanna Benadit, P. Julian Christ Deemed Be Univ Mysor Rd Bangalore 560074 Karnataka India

ISBN: (纸本)9789819984787;9789819984794

The current study's objective was to use deep learning methods to separate valetudinarians amidst autism spectrum disorders (ASDs) from controls employing just the patients' brain activation patterns from a dataset of large brain images. We examined brain imaging data from ASD patients from the global, multi-site ABIDE dataset (Autism Brain Imaging Data Exchange). Social impairments and repetitive behaviors are hallmarks of the brain condition known as autism spectrum disorder (ASD). ASD affects one in every 68 kids in the USA, as of the most recent data from the Disease Control Centers. To understand the neurological patterns that arose from the categorization, we looked into functional connectivity patterns that can be used to diagnose ASD participants precisely. The outcomes raised the state of the art by correctly identifying 72.10% of ASD patients in the sample vs. control patients. The classification patterns revealed an anti-correlation between the function of the brain's anterior and posterior regions;this anti-correlation supports the empirical data currently showing achingly ASD impedes communication between the livid brain's anterior and posterior areas. We found and pinpointed brain regions damn frolic, distinguishing ASD among typically developing reign according to our deep learning model.

关键词： ASD fMRI ABIDE I ABIDE II rsfMRI DL ML

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Hybrid Fuzzy-Color Computing Based on Optical Logical Architecture

Hybrid Fuzzy-Color Computing Based on Optical Logical Archit...

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International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Timchenko, Victor Kreinovich, Vladik Kondratenko, Yuriy Horbov, Volodymyr Admiral Makarov Natl Univ Shipbldg UA-54025 Mykolaiv Ukraine Univ Texas El Paso El Paso TX 79968 USA Inst Artificial Intelligence Problems MES UA-01001 Kiev Ukraine NAS Ukraine UA-01001 Kiev Ukraine Petro Mohyla Black Sea Natl Univ UA-54003 Mykolaiv Ukraine

ISBN: (纸本)9783031671913;9783031671920

The article is devoted to developing an innovative approach to creating a high-speed optical computing architecture for processing a large amount of fuzzy information and supporting decision-making in artificial intelligence systems. The approach includes forming large fuzzy databases as a set of information quanta, and logical operations for inference solutions based on the principles of optical colorimetry, and fits well with the modern development of optical information transmission systems. The representation of an information color quantum as a digital fuzzy set allows the use of a well-developed fuzzy logic apparatus for a certain class of decision-making problems, which does not cover the use of colorimetry, in particular, due to the inherent idempotency of light emitters. A hybrid approach to organizing optical computing is proposed, combining the use of high-speed optical elements for a class of idempotent decision-making problems and digital fuzzy calculations for a class of decision-making problems that require taking into account accumulating information with the same estimates. The structure of the computer network and algorithmic procedures for implementing a hybrid architecture for decision-making have been formed. The proposed approach is applicable for intelligent decision-making systems with large fuzzy data in various fields: infrastructure, technical, medical, military, etc. Further development of the proposed approach is determined in the structuring of multilayer decision-making procedures and the development of hybrid computing procedures, as well as the architecture of optical computing.

关键词： Hybrid Fuzzy-Color Computing Optical Logical Architecture Fuzzy Information Quantum

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Next-Generation Surveillance: Exploring the Intersection of Artificial Intelligence and Security

Next-Generation Surveillance: Exploring the Intersection of ...

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Intelligent systems Conference

作者： Ribeiro, Tiago Oliveira, Pedro Rodrigues, Manuel Univ Minho LASI ALGORITMI Ctr Guimaraes Portugal

ISBN: (纸本)9783031664274;9783031664281

Smart surveillance systems are transforming the landscape of surveillance, offering a wide range of applications that include the detection of violence, recognition of anomalies, identification of handguns, and monitoring of parking occupancy. This survey examines the current state of Smart Surveillance, emphasizing the integration of advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and edge computing, which enhance the effectiveness of real-time surveillance, accuracy, and efficiency. The implementation of AI-driven approaches has significantly enhanced the accuracy of recognition, ensuring reliable surveillance outcomes. Practical testing demonstrated that these systems can be trusted in real-world scenarios, confirming the potential of these approaches for practical deployment. Efficiency is a crucial aspect of smart surveillance systems, making them suitable for applications in smart cities. This survey highlights the versatility and potential of smart surveillance systems, shedding light on their impact in various domains and their future prospects, particularly in the context of smart cities and intelligent surveillance systems.

关键词： Smart surveillance Artificial intelligence Internet of Things Edge computing

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Approaches to the Complexity of Virtual Commissioning from the Perspective of Target Requirements 13th

Approaches to the Complexity of Virtual Commissioning from t...

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13th Computer Science Online Conference

作者： Skypala, Richard Sido, Jan Ruzarovsky, Roman Csekei, Martin Horak, Tibor Strelec, Peter Slovak Univ Technol Bratislava Fac Mat Sci & Technol Trnava Inst Mfg Technol Trnava Slovakia Slovak Univ Technol Bratislava Fac Mat Sci & Technol Trnava Inst Appl Informat Automat & Mechatron Trnava Slovakia

ISBN: (纸本)9783031705946;9783031705953

Today, virtual commissioning is a common engineering tool and a part of the design process of machines and production systems. Although virtual commissioning has become very common in these processes, it still faces many obstacles. The time and effort required to develop a suitable simulation model, its structure, and the structure of the libraries of these models is the most significant obstacle to standardizing virtual commissioning tasks. To investigate the quality and scope of behavioral models, it is necessary to understand the limits of Model/Hardware/Software in loop virtual commissioning methods using tests with simple, off-the-shelf behavioral models that are not part of commercial or standard production sys-system vendor books. This paper presents the implementation of a virtual commissioning pre-operational simulation study with multiple robotic arms and its subsystems with PLC overhead control. The main objective of this paper is to search for the limits of the software in the loop method as a stage before maximal concrete virtual commissioning using real control systems coupled with simulation working with feedback of simple functional models of behavior.

关键词： Virtual Commissioning Behavioural Model Digital Twin

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The Role of Simulation in the Context of Industry 4.0 in Building Evacuation 7th

The Role of Simulation in the Context of Industry 4.0 in Bui...

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7th International Conference on Logistics Operations Management (GOL)

作者： Ferreira, L. P. Ferreira, Andre Costa, Elga Ramos, A. L. Polytech Porto ISEP Rua Dr Antonio Bernardino de Almeida P-4249015 Porto Portugal Associate Lab Energy Transports & Aerosp LAETA IN Rua Dr Roberto Frias 400 P-4200465 Porto Portugal Polytech Porto ESHT Rua D Sancho 1 P-4480876 Vila Do Conde Portugal CiTUR Ctr Tourism Res Dev & Innovat Vila Do Conde Portugal Univ Aveiro DEGEIT GOVCOPP Aveiro Portugal

ISBN: (纸本)9783031686337;9783031686344

Due to the steady development of technology, Simulation constitutes one of the areas of Industry 4.0 which allows for the evaluation of several real-life situations. The result of this computer-based analysis indicates the most suitable scenario, thus leading to enhanced decision-making. Anchored on this premise, one has seen a considerable increase in the importance of simulation and its implementation in the context of building evacuation. This is due to the fact that it enables one to analyze the most favourable evacuation strategy for a location (regardless of its typology and purpose of use), as well as to ensure the best possible safety conditions for all those involved. To this end, the objective of this study was to present the implementation of simulation as a tool to improve decision-making in building evacuation procedures. Based on this research, one was able to confirm that Simulation is indeed one of the areas of greatest potential in Industry 4.0: if it certainly leads to the acquisition of a greater understanding of building evacuation, it also allows one to optimize the safety of the occupants found in any building typology. The implementation of Simulation to generate scenarios that will permit companies to promote a safety culture - through strategies of prevention and protection when confronted with an impending threat or disaster - points to the importance which should be attributed to this particular area. The safety of the occupants in a building can ultimately depend on the evacuation scenario and strategy adopted for the emergency at hand.

关键词： Industry 4.0 Simulation Technology Evacuation Buildings

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Comparison of Low-Cycle Fatigue Criteria for the Life Prediction of AISI 316L 1

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3rd International Symposium on Industrial Engineering and Automation

作者： Pagliari, Lorenzo Fraccaroli, Lorenzo Maccioni, Lorenzo Concli, Franco Free Univ Bolzano Bozen Fac Engn Piazza Univ 1 I-39100 Bolzano Italy

ISBN: (数字)9783031704628

ISBN: (纸本)9783031704611;9783031704628

This work is a comparative study of the accuracy of criteria for the life prediction of metals under low-cycle fatigue. AISI 316L specimens were tested in strain-controlled conditions, undergoing low-cycle fatigue. Stress and strain tenors developed during one test cycle were calculated through a finite element model. Subsequently, they were numerically elaborated employing four different criteria for life prediction based on strains and on the critical plane theory, namely the Smith-Watson-Topper, the Fatemi-Socie, and the two Chen-Xu-Huang criteria. For each of them, a life prediction was numerically obtained. By comparing the experimental and the numerical results, it was observed that the accuracy of the tested strain-based criteria varies, depending on the principle at their basis. Some of them represent a reasonably reliable prediction tool, while others tend to overestimate the results, but mainly because pure axial loading is a working condition where they are notoriously not effective.

关键词： low-cycle fatigue plastic deformation strain failure fracture

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