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Pham, K. T., Sheynin, J. & Liberzon, I. in Comprehensive Precision Medicine 1st edn (ed….
Category: 7. Maths
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Deep learning based SentiNet architecture with hyperparameter optimization for sentiment analysis of customer reviews
This section presents our methodology, including a novel DL architecture for efficient sentiment categorization in online reviews. It addresses the problem and provides an overview of the proposed framework, including the architecture of the…
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Rethinking mental illness through a computational lens
Nature Computational Science presents a Focus that explores the field of computational psychiatry and its key challenges, from privacy concerns to the ethical use of artificial intelligence, offering new insights into the future of mental health…
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IceQream: Quantitative chromosome accessibility analysis using physical TF models
The IceQream Model Overview
IceQream (IQ) is a quantitative framework designed to infer chromosomal accessibility differentials from sequence and epigenetic features. It is a hierarchical model based on a small number of motif models
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Higher-order factorization machine for accurate surrogate modeling in material design
Numerical cost function
We investigate the performance of 2nd and 3rd-order FMs with a practical optimization problem to understand their effectiveness in handling real-world optimization scenarios. For this purpose, we select the optimization…
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Enhancing mass transfer in RO membranes powered by tidal energy using static mixers: a CFD study
Model verification and validation
Figure 4(a) illustrates the mesh domain of the present CFD model. This system uses an unstructured mesh due to the existence of KSM in the RO. For mesh independence analysis, Fig. 4(b) illustrates the mass…
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Deep phenotyping of patient lived experience in functional bowel disorders using machine learning
Modern medicine has become an algorithmic science: the clinician assesses symptoms, orders tests, and classifies the illness into a diagnostic category on which therapy is based3,27. In FBDs, there are no objective measures that sub-classify…
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Research on intercity travel mode recognition and network structure characteristics based on complex network and random forest classification
Application of CNT in transportation studies and the modeling strategy of this study
CNT is a powerful tool for analyzing relationships among nodes in large, interconnected systems, and has been widely applied in transportation studies to reveal…
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Intelligent generation method of drum music scores based on improved CNN and STFT
To assist drum music learners, the study proposes an intelligent music score generation method based on improved CNN and STFT. To better capture the frequency features of the music signal, the study first uses STFT to transfer the sound signal…
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Decoding trust in large language models for healthcare in Saudi Arabia
Trust in artificial intelligence systems
Trust is a fundamental component in human-computer interactions, particularly in AI-driven healthcare systems, where AI is increasingly utilized for medical diagnosis, patient engagement, and clinical…
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