Supply chain management is a critical aspect of modern business operations. The retail manufacturers are grappling to predict customer demand, inventory, transportation, and production cost with ability to replicate r...
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Micro-expressions, fleeting and subtle facial expressions, possess significant application potential. However, their brief duration, low intensity, and localized motion pose challenges for traditional detection method...
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Acquiring knowledge beyond the usual expertise is a critical challenge when implementing semantic information solutions for querying a knowledge base. To address this difficulty, one proposed solution was to use knowl...
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Limited data availability poses a major obstacle in training deep learning models for financial applications. Synthesizing financial time series to augment real-world data is challenging due to the irregular and scale...
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It is very essential to ensure the security of users data and in this fast evolving modern technology it is, very difficult to maintain the data security as the hackers are well skilled in using new technologies as ad...
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data ingestion validation, the task of certifying the quality of con- tinuously collected data, is crucial to ensure trustworthiness of analytics insights. A widely used approach for validating data qual- ity is to sp...
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This paper aims to reflect on the extent to which the Design science Research Method (DSRM) is aligned with orchestrating the development of cancer care data analytics research projects using a data strategy-enabled u...
This paper aims to reflect on the extent to which the Design science Research Method (DSRM) is aligned with orchestrating the development of cancer care data analytics research projects using a data strategy-enabled use-case-driven approach. A fit-for-purpose DSRM research framework has been designed to guide the research design and project-manage the iCanViz research project. The iCanViz project is an intelligent cancer data analytics visualizer aligned to multiple cancer sites, cancer incidences, risk correlations, survivals, and deaths in the Arab world within certain years of reported cancer incidences per cancer site. The DSRM approach has been deemed closely aligned with the iCanViz research project. This is primarily due to its ability to articulate and incorporate cancer care data strategy use-cases as agile software development increments within the iCanViz DSRM research framework. Also, the adaptation of the iCanViz DSRM research framework has contributed to enhancing the even distribution and concurrent execution of cancer care data analytics tasks across the software development and research team. Furthermore, the iCanViz DSRM research design has proven effective in designing research frameworks that bridge the gap between the world of cancer care and the creation of cancer care data analytics systems. With a small research team, the iCanViz project achieved this within a relatively short time frame of less than a year.
Exploring the integration of if-then logic rules within neural network architectures presents an intriguing area. This integration seamlessly transforms the rule learning task into neural network training using backpr...
Heterogeneous Graph Neural Networks (HGNNs) have emerged as powerful tools for handling heterogeneous graphs. However, current HGNNs often rely on meta-paths or intricate aggregation operations. In response, we introd...
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Plant disease remains a persistent challenge for smallholder farmers, posing threats to both income and food. The upgrowth in smartphone emergence which combined with improvements in computer vision models has paved t...
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