In the field of healthcare, non-adherence to medications is still a big issue, which greatly influences the patients' outcomes and the efficacy of the prescribed medications. This paper proposes a smart solution t...
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This article presents a deep learning framework combining a convolutional neural network (CNN) and a support vector machine (SVM) for lung cancer diagnosis. The model uses data divided into six groups: 250 images in t...
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This paper presents LOLA, a massively multilingual large language model trained on more than 160 languages using a sparse Mixture-of-Experts Transformer architecture. Our architectural and implementation choices addre...
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Question Generation(QG)is the task of generating questions according to the given *** of the existing methods are based on Recurrent Neural Networks(RNNs)for generating questions with passage-level input for providing...
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Question Generation(QG)is the task of generating questions according to the given *** of the existing methods are based on Recurrent Neural Networks(RNNs)for generating questions with passage-level input for providing more details,which seriously suffer from such problems as gradient vanishing and ineffective information *** fact,reasonably extracting useful information from a given context is more in line with our actual needs during questioning especially in the education *** that end,in this paper,we propose a novel Hierarchical Answer-Aware and Context-Aware Network(HACAN)to construct a high-quality passage representation and judge the balance between the sentences and the whole ***,a Hierarchical Passage Encoder(HPE)is proposed to construct an answer-aware and context-aware passage representation,with a strategy of utilizing multi-hop ***,we draw inspiration from the actual human questioning process and design a Hierarchical Passage-aware Decoder(HPD)which determines when to utilize the passage *** conduct extensive experiments on the SQuAD dataset,where the results verify the effectivenesss of our model in comparison with several baselines.
The detection of attacks, especially persistent intrusions, relies on a combination of various artifacts. Despite being manipulable, the user-agent string, a component of HTTP headers, has proven to be a tool for trig...
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The world witnessed an accelerated development of various types of meteorological observing technology,an evolution of numerical weather prediction(NWP)models from single atmospheric component to coupled multi-compone...
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The world witnessed an accelerated development of various types of meteorological observing technology,an evolution of numerical weather prediction(NWP)models from single atmospheric component to coupled multi-components of the earth system,as well as the multi graphics processing unit technology in computer sciences,a new era for rapidly advancing data assimilation science and technology development has *** multi-source data assimilation is important not only for NWP but also for further understanding of global and regional weather *** article firstly selectively reviews past methods of multi-source data *** opportunities are then discussed for future development of data assimilation system framework,for innovative uses of high-resolution observations,and for applications of artificial intelligence machine learning in meteorological data assimilation.
Following the framework of E-N model(Eisenberg and Noe,2001),the authors consider a new clearing mechanism based on net liabilities among financial institutions since the liabilities between the counterparties should ...
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Following the framework of E-N model(Eisenberg and Noe,2001),the authors consider a new clearing mechanism based on net liabilities among financial institutions since the liabilities between the counterparties should be deducted accordingly when clearing in *** the basis for systemic risk measurement,similar to the original E-N model,the authors first establish some good properties for the clearing payment vector according to a more general ***,the authors investigate how risk spreads among institutions through the liability network forming the risk contagion ***,the authors illustrate with a specific example that the original E-N clearing mechanism may misidentify the systemic important institutions,and theoretically show that it may also overestimate the risk compared with the netting clearing mechanism.
The introduction of Automated Machine Learning (AutoML) can be considered a game-changing development in the field of datascience and more specifically, in the area of big data analytics. AutoML brings an expert-leve...
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ISBN:
(数字)9798331523657
ISBN:
(纸本)9798331523664
The introduction of Automated Machine Learning (AutoML) can be considered a game-changing development in the field of datascience and more specifically, in the area of big data analytics. AutoML brings an expert-level approach to non-experts, allowing them to conduct intricate data analysis because it simplifies complicated tasks such as data preprocessing, feature engineering, model testing, hyper parameter adjustment of the models, and finally deploying the trained models. This advancement lessens reliance on qualified personnel, improves efficiency and helps cut down any associated lag in time from when an organization begins to utilize large amounts of data. This paper illustrates AutoML facilitates progress in multiple components for modern times: evolution, accessibility, integration into numerous sectors, and decision making. Respecting AutoML's various roles, fostering innovation while promoting inclusivity comes with certain challenges such as ethical considerations and algorithmic transparency. To summarize, AutoML will most likely disrupt analytical maturity and strengthen competitive advantages deemed sustainable today.
Efficient computation of graph diffusion equations (GDEs), such as Personalized PageRank, Katz centrality, and the Heat kernel, is crucial for clustering, training neural networks, and many other graph-related problem...
When it comes to scene classification, the lack of labelled data is a significant obstacle that forces researchers to think about innovative solutions. This work presents a revolutionary method to strengthen scene cla...
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