Advanced CRM and Task Management software is a software wherein all the types of employees and there work can be managed and monitored of an organization. The organization may be any type of organization running a bus...
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The adoption of Industry 4.0 technologies is crucial for enhancing the competitiveness of Indonesia's manufacturing SMEs. This study identifies the key criteria influencing this adoption, emphasizing competitive a...
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In this study, the authors present the design and validation of a compact microwave biosensor aimed at accurately monitoring blood glucose concentrations in hyperglycemic and hypoglycemic patients. The Triple Pole Tri...
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With the advent of the big data era, knowledge graphs, as important tools for organizing, managing, and understanding massive amounts of information, are gradually becoming a research hotspot in the field of artificia...
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Vehicular Ad Hoc Networks (VANETs) represent an innovative technology with the potential to revolutionize road safety, traffic management, and vehicular communication. Nevertheless, addressing substantial security con...
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Optimal design feasibility assessments of solar PV systems and hybrid energy based micro grids are having significant importance in the renewable energy sector. For design and feasibility analysis, simulation tools ar...
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In recent years, the applications of small-scale and soft robots in various tasks have significantly increased. However, traditional control systems have been proven no longer competent for further use due to neglecti...
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As machine learning (ML) starts to offer competitive advantages for an increasing number of application domains, many organisations invest in developing ML-enabled products. The development of these products poses uni...
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ISBN:
(纸本)9798350324983
As machine learning (ML) starts to offer competitive advantages for an increasing number of application domains, many organisations invest in developing ML-enabled products. The development of these products poses unique challenges compared to traditional softwareengineering projects and requires the collaboration of people from different disciplines. This work focuses on alleviating some of these challenges related to implementing monitoring systems for deployed ML models. To this end, a domain-specific language (DSL) is developed that data scientists can use to declaratively define monitoring workflows. Complementary to the DSL, a runtime component is developed that implements the specified behaviour. This component is designed to be easily integrated with the rest of an organisation's ML platform and extended by software engineers that do not necessarily have experience with model-driven engineering. An evaluation of the proposed system that supports the validity of the approach is also presented.
This research investigates the application of Structured State Space Sequence Models (SSMs), particularly the Mamba architecture, for brain tumor segmentation in MRI scans. The Mamba model uses selective state spaces ...
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Application of photovoltaic (PV) solar systems in buildings, highlighting their environmental and economic benefits. The proposed system involves utilizing the roof space of buildings to install solar panels with dies...
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