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 …
accurate and real-time detection of multi-scale targets still faces tough challenges. CNN …
Adaptive monitoring: A systematic mapping
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' …
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
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 …
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
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 …
distributed systems. For instance, it is used locally, as part of a sensor system, on the edge …
Control strategies for self-adaptive software systems
The pervasiveness and growing complexity of software systems are challenging software
engineering to design systems that can adapt their behavior to withstand unpredictable …
engineering to design systems that can adapt their behavior to withstand unpredictable …
Automatic Requirements Engineering: Activities, Methods, Tools, and Domains–A Systematic Literature Review
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 …
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 …
classification problems. Although powerful, they require a large amount of memory. The …
A learning approach to enhance assurances for real-time self-adaptive systems
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 …
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
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 …
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
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 …
needs to be known in order to state guarantees on performance and safety. The operational …