Page 61 of 313
Abstract: In this paper, we propose a robust solution for the path planning and scheduling of the moving objects in a Track-based Traffic Control System (TTCS). The moving objects in a TTCS pass over pre-specified sub-tracks. Each sub-track accommodates at most one moving object in-transit. Due to the uncertainties in the context of a TTCS, we assign an arrival time window to each moving object for each sub...
Abstract: Machine learning and deep learning techniques are becoming increasingly popular and critical for companies as part of their systems. However, although the development and prototyping of ML/DL systems are common across companies, the transition from prototype to production-quality deployment models are challenging. One of the key challenges is how to determine the selection of an optimal architectu...
Abstract: Guidelines recommend adults with pituitary disease in whom GH therapy is contemplated, to be tested for GH deficiency (AGHD); however, clinical practice is not uniform. AIMS 1) To record current practice of AGHD management throughout Europe and benchmark it against guidelines; 2) To evaluate educational status of healthcare professionals about AGHD. DESIGN On-line survey in endocrine centres t...
Abstract: Machine Learning (ML) and Artificial Intelligence (AI) have increasingly gained attention in research and industry. Federated Learning, as an approach to distributed learning, shows its potential with the increasing number of devices on the edge and the development of computing power. However, most of the current Federated Learning systems apply a single-server centralized architecture, which may ...
Abstract: Data pipelines play an important role throughout the data management process. It automates the steps ranging from data generation to data reception thereby reducing the human intervention. A failure or fault in a single step of a data pipeline has cascading effects that might result in hours of manual intervention and clean-up. Data pipeline failure due to faults at different stages of data pipeli...
Abstract: The current trends of digitalization and Industry 4.0 are bringing ample opportunities for manufacturing industry to fine tune their products and processes at will, to meet changing market needs within short notice. However, the characteristics of advanced production systems, such as dynamic interactions between machines and reconfigurations, if not carefully orchestrated, could potentially lead t...
Abstract: In order to distinguish themselves from their competitors, software service providers constantly try to assess and improve customer satisfaction. However, measuring customer satisfaction in a continuous way is often time and cost intensive, or requires effort on the customer side. Especially in B2B contexts, a continuous assessment of customer satisfaction is difficult to achieve due to potential ...
Abstract: Process Debt, like Technical Debt, can be the source of short-term benefits but often is harmful in the long term for a software organization. Nonetheless, information about Process Debt is scarce in current literature. We conducted an exploratory study of Process Debt in four international organizations by interviewing 16 practitioners. The findings show that Process Debt can be a harmful phenome...
Abstract: Heterogeneous computing is one of the most important computational solutions to meet rapidly increasing demands on system performance. It typically allows the main flow of applications to be executed on a CPU while the most computationally intensive tasks are assigned to one or more accelerators, such as GPUs and FPGAs. The refactoring of systems for execution on such platforms is highly desired b...
Abstract: The demands on software continues to increase through the constant addition of functionalities and high expectations from users. In particular, performance has been the focus in many projects with the goal of fulfilling complex and hard requirements across a variety of domains. One way to achieve satisfactory levels of performance is through heterogeneous computing, i.e., systems that contain more...
Abstract: Abstract Internet of Things (IoT) systems are becoming ubiquitous, and their spread has had a significant impact on all aspects of society. Software is a key aspect of IoT systems, from firmware to cloud infrastructures. For this reason, Software Engineering (SE) is crucial to design, develop, deploy, and maintain high-quality IoT systems. Despite the high relevance of these systems, by analysing ...
Abstract: Heterogeneous computing is one of the most important computational solutions to meet rapidly increasing demands on system performance. It typically allows the main flow of applications to be executed on a CPU while the most computationally intensive tasks are assigned to one or more accelerators, such as GPUs and FPGAs. The refactoring of systems for execution on such platforms is highly desired b...
Abstract: Deep neural networks (DNN) have achieved quality results in various applications of computer vision, especially in image classification problems. DNNs are computational intensive, and nowadays, their acceleration on the FPGA has received much attention. Many methods to accelerate DNNs have been proposed. Despite their performance features like acceptable accuracy or low latency, their use is not w...
Abstract: In the current thematic collection of Högre Utbildning, we present eight contributions on how to change higher education in ways which will enable students to contribute to a sustainable future, including three invited papers on the systematic transformation of higher education necessary to address our existential societal challenges....
Page 61 of 313