Geospatial Artificial Intelligence as a containerized microservice (GeoAIaaS) utilized microservice-based architecture for GeoAI applications by pre-defined mission recipes of handling geospatial data to lower the additional geography expertise barrier ...

Provenance provides data lineage and history of different transformations applied to a dataset. A complete trace of data provenance can enable the reanalysis, reproducibility, and reusability of features, which are essential for validating results and ...

2.5D chiplet technology is gaining popularity for the efficiency of integrating multiple heterogeneous dies or chiplets on interposers, and it is also considered an ideal option for agile silicon system design by mitigating the huge design, verification,...

Open source projects play a significant role in software production. Most of the software projects reuse and build upon the existing open source projects and libraries. While reusing is a time and cost saving strategy, some of the key factors are often ...

This paper presents the lessons regarding the construction and use of large Cranfield-style test collections learned from the TREC 2021 Deep Learning track. The corpus used in the 2021 edition of the track was much bigger than the corpus used previously ...

Conventional reinforcement learning (RL) typically determines an appropriate primitive action at each timestep. However, by using a proper macro action, defined as a sequence of primitive actions, an RL agent is able to bypass intermediate states to a ...

Game mechanics are high‐level descriptions of common game requirements; however, they do not provide any guidance on their code implementation. Nevertheless, their implementation involves high volumes of essential complexity, which in turn leads ...

Game mechanics do not provide any guidance on their code implementation and usually involve high volumes of complexity. We propose the mapping of game mechanics and design patterns through template instantiations; developing an online repository of such ...

Decision-making in business remains the pivotal aspect for managers. Accordingly, decision support systems (DSSs) have evolved as one of the most popular fields in management science. To understand its development as a field, we analyse more than 2,000 ...

RDF Knowledge Graphs (or Datasets) contain valuable information that can be exploited for a variety of real-world tasks. However, due to the enormous size of the available RDF datasets, it is difficult to discover the most valuable datasets for a given ...

In the present era of big data the demand for developing efficient knowledge representation techniques for different applications is expanding steadily. Knowledge representation is largely based on ontology in the Semantic Web. However, one of the major ...

Adding context ‐awareness capabilities to modern mobile and pervasive computing applications (apps) is becoming a mainstream activity in the software engineering community. In this respect, many context models and middleware architectures have ...

In this paper we propose a two‐layer approach for creatingcontext‐aware applications, based on MDD: At the higher layer, context plug‐ins are used to monitor low‐level context data and infer higher‐level information about the users, theircomputing ...

Machine learning, especially deep learning has aroused interests of researchers and practitioners for the last few years in development of intelligent systems such as speech, natural language, and image processing. Software solutions based on machine ...

Several approaches to define Variability Models (VM) of non-functional requirements or quality attributes have been proposed. However, these approaches have focused on specific quality attributes rather than more general non-functional aspects ...

Much has been investigated about software reuse since the software crisis. The development of software reuse methods, implementation techniques, and cost models has resulted in a significant amount of research over years. Nevertheless, the ...

Fault-proneness is a key external software-quality attribute of interest for software developers and practitioners. The fault-proneness of an object-oriented class indicates the extent to which the class is prone to faults. Because software engineers ...

This paper describes a new effort estimation model based on use case reuse, called the use case reusability (UCR), intended for the projects that are reusing artifacts previously developed in past projects with similar scope. Analysis of the ...

This paper describes a new effort estimation model based on use case reuse, called the use case reusability (UCR), intended for the projects that are reusing artifacts previously developed in past projects with similar scope. The baseline for the new ...

Fuzzy extractors (Dodiset al., Eurocrypt 2004) turn a noisy secret into a stable, uniformly distributed key. Reusable fuzzy extractors remain secure when multiple keys are produced from a single noisy secret (Boyen, CCS 2004). Boyen showed information-...

Due to recent data explosion, scientists invest most of their efforts in the collection of data needed for research. In this paper, we address the community-driven data curation system which is essential to enhancing data understandability and ...

Although there has been a large body of work cataloguing design patterns since their introduction, there is a limited amount of detailed, empirical evidence on pattern use and application. Those studies that have collected experimental data generally ...

The ability to compare systems from the same domain is of central importance for their introduction into complex applications. In the domains of named entity recognition and entity linking, the large number of systems and their orthogonal evaluation ...