Question Crusher

Aleksandar Karadimce

Macedonia University St. Paul the Apostle - Ohrid

32 Papers
103 Following
47 Followers

Hub

Commented on Postdoctoral positions 2023 - 2024
Three post-doc positions in Wroclaw, Poland, on distributed, online and approximation algorithms The positions are within the projects at Institute of Computer Science: - “Algorithms for connectivity under uncertainty” led by Jarek Byrka, - “Online Algorithms for Configuration Games” led by Marcin Bienkowski, - “Efficient distributed and parallel algorithms for big and dynamic data”, led by Tomasz Jurdziński. All positions are expected to start in the autumn of 2024 (negotiable). Applications should be submitted by 24.03.2024 More details on postdoc positions can be found at: https://ii.uni.wroc.pl/media/uploads/2024/02/28/postdoc-2024-algorithms.pdf

Article

Commented on Distributed Aperiodic Time-Triggered and Event-Triggered Consensus: A Scalability Viewpoint
Authors revisit distributed sampled-data consensus problems from a scalability point of view. Existing solutions in the literature for estimating the maximum sampling interval that preserves stability rely on the Lyapunov functional method. This method treats the overall closed-loop system (i.e., the overall network of agents) as a time-delayed system. Here, a critical point is the scalability of the resulting stability conditions: in fact, the size of the LMIs to be solved depends on the network size. In contrast with this method, an easy-to-use and scalable method is presented, with stability conditions independent of the network's size. It is shown that the proposed method can handle linear and Lipschitz nonlinear multiagent systems with both aperiodic time-triggered and event-triggered control in a unified way. Numerical examples show the efficiency of the proposed approach and the tightness of the estimated maximum sampling interval.

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Commented on AI & your research work
The Fourth International Conference on Emerging Techniques in Computational Intelligence, ICETCI 2024 will be held at Mahindra University, Hyderabad on Aug 22-24, 2024. This is technically co-sponsored by the IEEE Computational Intelligence Society (CIS) as in the prior editions. This conference aims to highlight the evolution of topics, frontline research and multiple applications in the domain of Computational Intelligence, from the mainstream foundations to novel investigations and applications. The conference comprises of one day of tutorial sessions followed by two days of Keynote Lectures by invited international experts from Industry and Academia, and technical paper presentations. Also, the conference hosts several special sessions on emerging technologies and applications related to computational intelligence. In addition to tutorials by experts from the academia, the conference is also expected to have industry-relevant tutorials by experts from top industries operating in this field. More information on the Conference may be found at https://www.ietcint.com/ ICETCI 2024 invites submissions that are original, previously unpublished innovative work in any area of Computational Intelligence, both emerging topics which form the theme of the conference as well as more foundational areas. The three main tracks of the Conference are: • Deep Learning • Sequence Modelling and • General Topics in Computational Intelligence List of Conference Topics can be seen at https://ietcint.com/user/instructions Paper Submission Manuscripts for ICETCI 2024 should be submitted electronically at https://edas.info/N31894

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Commented on Regulation of AI
online Course: Introduction to Artificial Intelligence for Public Service Interoperability 1. Course overview and introduction 2. Introduction to AI and its components 3. Introduction to interoperability 4. AI supporting IOP in public administration in the EU Member States 5. Conclusions and next steps Quiz Certificate of Completion https://academy.europa.eu/courses/introduction-to-artificial-intelligence-for-public-service-interoperability

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Commented on AI in education, teaching, learning
The "AI in Education: Policy Starter Resources'' launches in April 2024. This resource includes one-pagers, policy considerations, and talking points - created to assist leaders in crafting policies for teaching with and about AI. You can learn more at TeachAI.org.

Article

Commented on Dynamic generation of accident progression event trees
Currently, the development and analysis of accident progression event trees (APETs) are performed in a manner that is computationally time-consuming, difficult to reproduce, and phenomenologically inconsistent. A software tool is presented for automated APET generation using the concept of dynamic event trees. The tool determines the branching times from a severe accident analysis code based on user-specified criteria for branching. It assigns user-specified probabilities to every branch, tracks the total branch probability, and truncates units based on the given pruning/truncation rules to avoid an unmanageable number of scenarios. While the software tool could be applied to any systems analysis code, the MELCOR code is used for this illustration. A case study is presented involving a station dimming with the loss of an auxiliary feedwater system for a pressurized water reactor.

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Commented on AI in education, teaching, learning
The celebration of the AI Literacy Day is April 19. Organizations or school districts wanting to learn more or engage in National AI Literacy Day can learn more at ailiteracyday.org.

Article

Commented on Code generation for Event-B
Event-B is a modelling language and a formal methods approach for correct construction of software. This paper presents our work on code generation for Event-B, including the definition of a syntactic translation from EventB to JML-annotated Java programs, the implementation of the translation as the EventB2Java tool, and two case studies on the use of EventB2Java. The first case study is on implementing an Android application with the aid of the EventB2Java tool, and the second is on testing an Event-B specification of the Tokeneer security-critical system. Additionally, we have benchmarked our EventB2Java tool against two other Java code generators for Event-B

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Commented on Online event processing
Support for distributed transactions across heterogeneous storage technologies is nonexistent or suffers from poor operational and performance characteristics. In contrast, OLEP is increasingly used to provide good performance and strong consistency guarantees in such settings.

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Commented on Neuroscience
1st Meeting of the Vienna Network of Music and Cognition Research (ViNoMaRe), an *interdisciplinary networking event that brings together research groups from Vienna* and beyond. Supported by the Vienna Cognitive Science Hub, this event aims to leverage and harvest the potential of expertise by bringing a multitude of perspectives together, from life sciences, humanities and arts. On June 6th 2024, from 17:30 - 19:30In Lecture Hall 1 in the Department of Musicology at the University of Vienna, Austria You can register here*: https://cogsci.univie.ac.at/vinomare/ <https://massmailer.univie.ac.at/action/mlr/lk?&idx=622484&url=nUE0pUZ6Yl9wo2qmL2xhqJ5cqzyyYzSwYzS0Y3Mcoz9gLKWyYj&cid=15206&uid=0&cks=94a9790d>

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Commented on Scientific Entrepreneurship
Watch the top North America entrepreneur finalists in 2024 present their innovative AI-powered solutions to achieve SDGs to the honorary US judges in this Innovation Factory pitching session. The AI for Good session on "Meet The Top North America Entrepreneur Finalists 2024" will take place on April 17th, 2024 at 17:30 Geneva time CE(S)T! Visit here https://neuralnetwork.aiforgood.itu.int/event/ai-for-good/register?registerAsParticipant=true&externalId=22686

Article

Commented on How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: Application to text mining
In this paper, authors have shown how to use the Kohonen maps as a complement of Factorial Correspondence Analysis (FCA) methods classically used in lexicometry, - to improve the information provided by the different projections of the FCA, - to make the Kohonen maps more robust concerning the randomness of the SOM algorithm by distinguishing stable neighbor pairs from fickle pairs, - to build graphs of connections between fickle words which are difficult to analyze by both FCA and Kohonen map alone

Article

Commented on Multi-user permission strategy to access sensitive information
The rapid increase in insider attacks and proprietary and sensitive data leakage emphasizes the need for more secure and trusted user-access strategies. In general, the user access to classified data follows hierarchical role-based, task-based, MAC or DAC models, which does not require human approval, so once the access is permitted, the user gets a free ride on the requested resource. The access logs and activity logs can provide the usage statistics of a file with specific sensitivity.

Article

Commented on Abstract POSTER-THER-1425: Novel small molecules overcoming platinum drug resistance in ovarian cancer cells
The building of a concrete overlay on a two-lane rural roadway presents certain unique problems; nevertheless, with proper planning, these obstacles may be overcome to the satisfaction of both the contractors and the affected populace.

Article

Commented on Components of Education 4.0 in 21st Century Skills Frameworks: Systematic Review
In order to create future abilities, this study analyzed which elements of Education 4.0 are being employed in 21st century frameworks and which teaching and learning approach works best. The findings show that: (a) case studies and teaching and learning strategies are highlighted in the literature on frameworks; (b) comprehensive studies have been conducted on the skills and knowledge learning dimensions, and there is room for further research on the development of character and meta-learning skills; (c) the most popular teaching and learning strategies are those that set the trends for educational innovation; (d) learning methods and competencies are the most frequently addressed components of Education 4.0; and (e) there is a noticeable lack of frameworks targeted at teachers and managers and strategies to strengthen educational innovation in schools.
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