LMSD-YOLO: A lightweight YOLO algorithm for multi-scale SAR ship detection

Y Guo, S Chen, R Zhan, W Wang, J Zhang - Remote Sensing, 2022 - mdpi.com
At present, deep learning has been widely used in SAR ship target detection, but the
accurate and real-time detection of multi-scale targets still faces tough challenges. CNN …

Adaptive monitoring: A systematic mapping

E Zavala, X Franch, J Marco - Information and software technology, 2019 - Elsevier
Context Adaptive monitoring is a method used in a variety of domains for responding to
changing conditions. It has been applied in different ways, from monitoring systems' …

Status quo in requirements engineering: A theory and a global family of surveys

S Wagner, DM Fernández, M Felderer, A Vetrò… - ACM Transactions on …, 2019 - dl.acm.org
Requirements Engineering (RE) has established itself as a software engineering discipline
over the past decades. While researchers have been investigating the RE discipline with a …

[HTML][HTML] A compositional approach to creating architecture frameworks with an application to distributed AI systems

HM Heyn, E Knauss, P Pelliccione - Journal of Systems and Software, 2023 - Elsevier
Artificial intelligence (AI) in its various forms finds more and more its way into complex
distributed systems. For instance, it is used locally, as part of a sensor system, on the edge …

Control strategies for self-adaptive software systems

A Filieri, M Maggio, K Angelopoulos… - ACM Transactions on …, 2017 - dl.acm.org
The pervasiveness and growing complexity of software systems are challenging software
engineering to design systems that can adapt their behavior to withstand unpredictable …

Automatic Requirements Engineering: Activities, Methods, Tools, and Domains–A Systematic Literature Review

R Delima, K Mustofa, AK Sari - Jurnal RESTI (Rekayasa Sistem …, 2023 - jurnal.iaii.or.id
Requirements engineering (RE) is an initial activity in the software engineering process that
involves many users. The involvement of various users in the RE process raises ambiguity …

Cifar-10 image classification with convolutional neural networks for embedded systems

RC Çalik, MF Demirci - 2018 IEEE/ACS 15th International …, 2018 - ieeexplore.ieee.org
Convolutional Neural Networks (CNN) have been successfully applied to image
classification problems. Although powerful, they require a large amount of memory. The …

A learning approach to enhance assurances for real-time self-adaptive systems

A Rodrigues, RD Caldas, GN Rodrigues… - Proceedings of the 13th …, 2018 - dl.acm.org
The assurance of real-time properties is prone to context variability. Providing such
assurance at design time would require to check all the possible context and system …

A negotiation support system for defining utility functions for multi-stakeholder self-adaptive systems

R Wohlrab, D Garlan - Requirements Engineering, 2023 - Springer
For realistic self-adaptive systems, multiple quality attributes need to be considered and
traded off against each other. These quality attributes are commonly encoded in a utility …

Setting AI in context: A case study on defining the context and operational design domain for automated driving

HM Heyn, P Subbiah, J Linder, E Knauss… - … working conference on …, 2022 - Springer
Abstract [Context and motivation] For automated driving systems, the operational context
needs to be known in order to state guarantees on performance and safety. The operational …