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Juli 2022
Computer Vision techniques for real estate rating
Abstract: Computer vision and AI methods are percolating many branches nowadays. Also in the research field of real estate rating computer vision and AI methods have lead to very interesting innovations. In this research talk, real estate classification by AI-enabled computer vision techniques is discussed. The talk will give an overview of recent research efforts in the field and focus on latest findings of our research group. This consists of age or heating demand prediction of real estates by photographs…
Erfahren Sie mehr »Edge Intelligence and Protocols for IoT Applications
Abstract: IoT-enabled applications increase tremendously in various sectors, such as transportation, healthcare, education, agriculture, and so forth. These applications sense properties using sensors, perform intelligence, and apply the findings using actuators. Instead of submitting sensor data directly to the cloud, intelligence could be performed with the inclusion of several edge/fog nodes. This improves the privacy and computation time of applications. This talk will provide insights on edge intelligence techniques for such IoT-enabled applications. In addition, a few protocols that are…
Erfahren Sie mehr »November 2022
Engineering Serverless Workflow Applications in Federated FaaS
November 29, 2022 | 10:00 am (CET) | Room: S.2.69 | | Alpen-Adria-Universität Klagenfurt Ass. Prof. Sashko Ristov | Computer Science Department, University of Innsbruck Abstract: Function-as-a-Service (FaaS) is the latest paradigm of cloud computing in which developers deploy their codes as serverless functions, while the entire underlying platform and infrastructure is completely managed by cloud providers. Each cloud provider offers a huge set of cloud services and many libraries to simplify development and deployment, but only inside their…
Erfahren Sie mehr »März 2023
Distributed systems in the Post-Moore era
Tuesday, March 14, 2023 | 02:00 pm (CET) | Room: HS 8 | | Alpen-Adria-Universität Klagenfurt Dr. Vincenzo De Maio | Vienna University of Technology Abstract: In recent years, we have experienced an exponential growth in the amount of data generated by IoT devices. Data have to be processed strict low latency constraints, that cannot be addressed by conventional computing paradigm and architectures. On top of this, if we consider that we recently hit the limit codified by the Moore’s…
Erfahren Sie mehr »Juni 2023
App-Entwicklung als Karriere: Was kommt nach dem Abschluss?
Dienstag, 20. Juni 2023 | 10:00 Uhr | HS 10 | Alpen-Adria-Universität Klagenfurt Kevin Chromik | iOS Entwickler bei waipu.tv Abstract: In diesem Gastvortrag wird Kevin über seine persönliche Karriere als Absolvent des Studiengangs Informations-management an der Universität Klagenfurt sprechen. Er teilt seine Erfahrungen als Mobile Entwickler in der Praxis und gibt Einblicke in seine Arbeit als Teilzeit-YouTuber. Die Zuhörer erwartet eine interessante Reise durch Kevins Karriere und ein tieferer Einblick in die Welt der mobilen Entwicklung bei verschiedenen Unternehmen,…
Erfahren Sie mehr »Analysis of Photovoltaic Systems‘ TVET in Palestine
Thursday, June 22, 2023 | 10:00 am (CET) | Room: HS 9 | Alpen-Adria Universität Klagenfurt Priv.Doz. Tamer Khatib, MSc. PhD. Abstract: This talks presents a mapping of technical vocational education and training (TVET) for photovoltaic (PV) systems in Palestine. A comprehensive analysis of PV system TVET courses as well as PV system market in Palestine will be presented in this talk. This analysis covers the content of PV TVET courses, the ability of courses’ trainers, training tools and labs,…
Erfahren Sie mehr »Februar 2024
Video Coding for Efficient HTTP Adaptive Streaming
Thursday, February 8, 2024 | 09:00 am (CET) | Room: S.2.37 | | Alpen-Adria-Universität Klagenfurt Dr. Hadi Amirpourazarian BSc.MSc. | Department of Information Technology (ATHENA Christian Doppler (CD) Laboratory) Abstract: The widespread adoption of video streaming applications has experienced a continual upsurge, necessitating advancements in underlying technologies to ensure a seamless user experience. Central to the realm of video streaming is video coding, a key element in the efficient transmission of multimedia content. In the context of HTTP Adaptive Streaming…
Erfahren Sie mehr »Constrained text generation to measure reading performance: A new approach based on constraint programming
Tuesday, February 13, 2024 | 10:00 am (CET) | Room: S.1.42 | Alpen-Adria Universität Klagenfurt Jean-Charles Régin| Professor at the Université Côte d'Azur and Chair for Decision Intelligence at the Interdisciplinary Institutes of Artificial Intelligence (3IA) Abstract: This talk introduces a new approach to generate strongly constrained texts. We consider standardized sentence generation for the typical application of vision screening. To solve this problem, we formalize it as a discrete combinatorial optimization problem on words and show how constraint programming…
Erfahren Sie mehr »Adaptivity and Reliability in Communication Networks through the lens of Multimedia Systems
Wednesday, February 28, 2024 | 15:30 pm (CET) | Room: S.2.42 | Alpen-Adria Universität Klagenfurt Amr Rizk | Professor at the Department for Computer Science at the University of Duisburg-Essen Abstract: This talk describes a vision of processing-centric networks that unify In-Network computation and programmable communication. This convergence of computation and communication enables a high degree of flexibility in the design and operation of distributed applications that run "on top" or "within" these networks. We specifically consider some of these applications…
Erfahren Sie mehr »April 2024
Towards zero-waste computing by co-design
Thursday, April 25, 2024 | 08:30 am (CET) | Room: S.2.37 | Alpen-Adria Universität Klagenfurt Ana Lucia Varbanescu | Assoc. Prof. Dr. ir. at the University of Twente and University of Amsterdam Abstract: “Computation” has become a massive part of our daily lives: in science, a lot of experiments and analysis rely on massive computation, in AI we use vast resources to train and use massive models, and in engineering we use complex simulations and digital twins to increase efficiency…
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