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Blockchain-Driven Dog Care System: Leveraging NFTs, IPFS, and Smart Contracts for Advanced Dog Medical Record Management
The domain of dog healthcare is undergoing transformative change, demanding more robust systems for ensuring the accuracy, retrievability, and...
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Dialectical Relationship Analysis of Data Governance Elements in the Financial Format—Based on the “Voyage Chart” Architecture
Although the economic value of data has received widespread attention, most financial enterprises still have differences in cognition of digital...
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Misclassification Loss for Segmentation of the Aortic Vessel Tree
Common pixel-based loss functions for image segmentation struggle with the fine-scale structures often found in the aortic vessel tree. In this...
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The Horizon for AI in Our Society
In this section, I will check some of the current trends in technology and estimate how they can possibly impact society.
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The Impact on People
Like most high-impact technologies, AI has the potential to create new jobs. They can fall into two categories. One directly related to the...
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Impacts on Specific Industries
In this section, I analyze some of the industries potentially impacted by AI/ML.
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Optimizing Aortic Segmentation with an Innovative Quality Assessment: The Role of Global Sensitivity Analysis
Precise aortic vessel tree segmentation is critical in the continuously evolving medical imaging domain. This study highlights the role of global...
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A Data-Centric Approach for Segmenting the Aortic Vessel Tree: A Solution to SEG.A. Challenge 2023 Segmentation Task
Data-centric AI is a discipline that focuses on improving the quality and relevance of data used to train AI models. It is a shift from the...
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Black-Box Unsupervised Domain Adaptation for Medical Image Segmentation
Unsupervised Domain Adaptation (UDA) is one of the key technologies to solve the problem of obtaining ground truth labels needed for supervised...
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Hierarchical Compositionality in Hyperbolic Space for Robust Medical Image Segmentation
Deep learning based medical image segmentation models need to be robust to domain shifts and image distortion for the safe translation of these...
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A Methodology for the Analysis of Robotic Systems via Process Mining
Robotic systems are widely adopted in various application scenarios. A very complex task for developers is the analysis of robotic systems’ behavior,...
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Rectify Sensor Data in IoT: A Case Study on Enabling Process Mining for Logistic Process in an Air Cargo Terminal
The Internet of Things (IoT) has empowered enterprises to optimize process efficiency and productivity by analyzing sensor data. This can be achieved...
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A Taxonomy for Platform Revenue Models: An Empirical-to-Conceptual Development Approach
In the field of Information Systems and Software Engineering, taxonomies are widely employed to organize and present well-designed knowledge. They...
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A Generic and Customizable Genetic Algorithms-Based Conceptual Model Modularization Framework
Conceptual models need to be comprehensible and maintainable by humans to exploit their full value in faithfully representing a subject domain....
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A Model-Driven Approach to SAP S/4HANA Development
While Enterprise Resource Planning systems such as SAP S/4HANA play a key role for many companies, they rarely come alone but are connected to other...
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Metadata Improves Segmentation Through Multitasking Elicitation
Metainformation is a common companion to biomedical images. However, this potentially powerful additional source of signal from image acquisition has...
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Compositional Representation Learning for Brain Tumour Segmentation
For brain tumour segmentation, deep learning models can achieve human expert-level performance given a large amount of data and pixel-level...
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Progressing from Process Mining Insights to Process Improvement: Challenges and Recommendations
Many organizations have adopted process mining to analyze their business processes, gain insights into their performance, and identify improvement...