In the evolving landscape of mental health diagnostics, the identification and understanding of emotional states, particularly in individuals with psychosis, stand as paramount challenges. This research introduces a n...
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Nodes geometry can significantly influence the performance of 5 G positioning systems, it is hence crucial to optimize the nodes geometry to enhance the accuracy of positioning. This paper proposes a multi-level posit...
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Cryptocurrencies, such as Bitcoin, Binance, Ethereum, FTX, and XRP, are decentralized digital assets known for their volatile nature and potential as investment instruments. Accurate price prediction is crucial for in...
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Crowd recognition by the deep learning is important to the management of campus or classroom, which include the technologies of object detection and face detection. In the crowd recognition case, the detection of anom...
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We introduce a multi-view document clustering model called DMsECN (Deep multi-structure Ensemble Clustering Network), comprising a multi-structure processor and a hybrid ensemble clustering module. Unlike existing mod...
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Swarm algorithms are being increasingly investigated as potential solutions for addressing distributed, complex problems across various domains. However, developing and testing these algorithms remains challenging due...
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Dementia is a prevalent neurological disorder affecting millions globally which poses significant challenges in early detection and classification. In this research work, a hybrid texture based feature extraction meth...
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The identification and conservation of rare medicinal plants are crucial, given their invaluable role in healthcare, pharmaceuticals, and biodiversity preservation. Numerous varieties face extinction according to the ...
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Adopting or tailoring a project management (PM) method for the domain-specific requirements of Machine Learning (ML) and Software engineering (SE) has been a major challenge. However, the review of the literature cann...
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ISBN:
(纸本)9798350326970
Adopting or tailoring a project management (PM) method for the domain-specific requirements of Machine Learning (ML) and Software engineering (SE) has been a major challenge. However, the review of the literature cannot provide sufficient work, and thus engineering PM processes for ML remains neglected. Therefore, this paper presents the theoretical and methodological aspects of a study, which is also the third and last part of an integrated research project conducted for Baskent University hospital Ankara (BUHA). The outputs of the study are twofold: (a) a method engineering (ME) framework for ML PM;and (b) a new hybrid PM for ML projects. The research approach combined the guidelines and principles of Design science Research and Action Research methods. It is thought that this study may be regarded as promising, and an attempt to improve SE and PM processes of ML in the healthcare domain.
Document Layout Understanding and Analysis solves the real-time problem of observing and contextualizing Layout and textual characteristics of a document. Document pre-trained models have proven to be very effective o...
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