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A transformation network describes how one set of resources can be transformed into another via technological processes. Transformation networks in economics are useful because they can highlight areas for future innovations, both in terms…

Social and Information Networks · Computer Science 2011-12-21 Christopher D. Hollander , Ivan Garibay

The development of a learning management system (LMS) as a key service seems to be very effective for creation of educational digital platforms. Such platforms for both higher education institutions and various companies can provide the…

Computers and Society · Computer Science 2018-07-02 Andrey Gorshenin

Workers spend a significant amount of time learning how to make good decisions. Evaluating the efficacy of a given decision, however, can be complicated -- e.g., decision outcomes are often long-term and relate to the original decision in…

Machine Learning · Computer Science 2024-03-20 Hamsa Bastani , Osbert Bastani , Wichinpong Park Sinchaisri

Large companies are fully engaged in their digital transformation, specifically in developing strategic Business Intelligence (BI) projects. They have a Digital Strategy and top-level executives managing the change. BI projects are also…

Collaborative competitions have gained popularity in the scientific and technological fields. These competitions involve defining tasks, selecting evaluation scores, and devising result verification methods. In the standard scenario,…

Machine Learning · Computer Science 2024-08-22 Sergio Nava-Muñoz , Mario Graff , Hugo Jair Escalante

Development of the new artificial systems with unique characteristics is very challenging task. In this paper the application of the hybrid super intelligence concept with object-process methodology to develop unique high-performance…

Software Engineering · Computer Science 2021-05-24 Vladislav Dorofeev

With economic development, the complexity of infrastructure has increased drastically. Similarly, with the shift from fossil fuels to renewable sources of energy, there is a dire need for such systems that not only predict and forecast with…

Artificial Intelligence · Computer Science 2024-12-04 Hallah Shahid Butt , Benjamin Schäfer

Representation Engineering (RepE) is a novel paradigm for controlling the behavior of LLMs. Unlike traditional approaches that modify inputs or fine-tune the model, RepE directly manipulates the model's internal representations. As a…

Machine Learning · Computer Science 2025-10-09 Jan Wehner , Sahar Abdelnabi , Daniel Tan , David Krueger , Mario Fritz

Tabletop exercises are used to train personnel in the efficient mitigation and resolution of incidents. They are applied in practice to support the preparedness of organizations and to highlight inefficient processes. Since tabletop…

Computers and Society · Computer Science 2024-04-17 Jan Vykopal , Pavel Čeleda , Valdemar Švábenský , Martin Hofbauer , Martin Horák

A number of scientific competitions have been organised in the last few years with the objective of discovering innovative techniques to perform typical High Energy Physics tasks, like event reconstruction, classification and new physics…

Data Analysis, Statistics and Probability · Physics 2020-12-21 David Rousseau , Andrey Ustyuzhanin

Information seeking process is an important topic in information seeking behavior research. Both qualitative and empirical methods have been adopted in analyzing information seeking processes, with major focus on uncovering the latent…

Information Retrieval · Computer Science 2013-04-09 Shuguang Han , Zhen Yue , Daqing He

Synergies between MAchine learning, Real-Time analysis and Hybrid architectures for efficient Event Processing and decision-making (SMARTHEP) is a European Training Network, training a new generation of Early Stage Researchers (ESRs) to…

High Energy Physics - Experiment · Physics 2024-05-15 James Andrew Gooding , Leon Bozianu , Carlos Cocha Toapaxi , Pratik Jawahar , Micol Olocco

In Meta-Reinforcement Learning (meta-RL) an agent is trained on a set of tasks to prepare for and learn faster in new, unseen, but related tasks. The training tasks are usually hand-crafted to be representative of the expected distribution…

Artificial Intelligence · Computer Science 2021-07-07 Ricardo Luna Gutierrez , Matteo Leonetti

In recent years Business Intelligence (BI) systems have consistently been rated as one of the highest priorities of Information Systems (IS) and business leaders. BI allows firms to apply information for supporting their processes and…

Other Computer Science · Computer Science 2012-05-09 Vahid Farrokhi , Laszlo Pokoradi

A mix of intelligent systems and robotics is making engineering industries much more efficient, precise and able to adapt. How artificial intelligence (AI), machine learning (ML) and autonomous robotic technologies are changing…

The real-time data collection and automation capabilities offered by the Internet of Things (IoT) are revolutionizing and transforming Business Processes (BPs) into IoT-enhanced BPs, showing high potential for improving sustainability.…

Beyond the mainstream discussion on the key role of China in the global AI landscape, the knowledge about the real performance and future perspectives of the AI ecosystem in China is still limited. This paper evaluates the status and…

Theoretical Economics · Economics 2025-08-25 Arenal Alberto , Armuna Cristina , Feijoo Claudio , Ramos Sergio , Xu Zimu , Moreno Ana Maria

Employing a comprehensive survey of micro and small enterprises (MSEs) and the Digital Financial Inclusion Index in China, this study investigates the influence of fintech on MSE innovation empirically. Our findings indicate that fintech…

General Economics · Economics 2024-07-25 Siyu Chen , Qing Guo

This article shows a brief history of Techno-Economic Assessment (TEA) in Communications, a proposed redefinition of TEA as well as the new challenges derived from a dynamic context with cloud-native virtualized networks, the Helium Network…

Networking and Internet Architecture · Computer Science 2023-11-07 Carlos Bendicho , Daniel Bendicho

Heterogeneous Robot Teams can provide a wide range of capabilities and therefore significant benefits when handling a mission. However, they also require new approaches to capability and mission definition that are not only suitable to…

Robotics · Computer Science 2024-02-06 Georg Heppner , Nils Berg , David Oberacker , Niklas Spielbauer , Arne Roennau , Rüdiger Dillmann
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