Air quality prediction and modelling plays a pivotal role in public health and environment management, for individuals and authorities to make informed decisions. Although traditional data-driven models have shown pro...
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In recent years, deep fakes have become increasingly prevalent and sophisticated, raising concerns about misinformation. This has led to a surge in research on deep fake creation, detection techniques, and related dat...
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The complexities of using ensemble models to rectify class imbalance in healthcare datasets are investigated in this study. Using well-known methods such as Random Forest, Gradient Boosting, AdaBoost, CatBoost, LightG...
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The mango industry faces substantial annual economic losses due to diseases and pests. Farmers encounter difficulties in differentiating between various mango diseases, as their symptoms can closely resemble each othe...
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A vehicle that functions purely on electricity, as opposed to normal gasoline or diesel automobiles, is known as an electric vehicle (EV). Electric vehicles are becoming extremely popular. EVs come equipped with a bui...
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With the use of Machine Learning Algorithms, a fundamental task in Human-computer Interaction, Speech Recognition has advanced significantly. The state-of-the-art in machine learning-based voice recognition is summari...
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Learners with a limited budget can use supervised data subset selection and active learning techniques to select a smaller training set and reduce the cost of acquiring data and training machine learning (ML) models. ...
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Learners with a limited budget can use supervised data subset selection and active learning techniques to select a smaller training set and reduce the cost of acquiring data and training machine learning (ML) models. However, the resulting high model performance, measured by a data utility function, may not be preserved when some data owners, enabled by the GDPR's right to erasure, request their data to be deleted from the ML model. This raises an important question for learners who are temporarily unable or unwilling to acquire data again: During the initial data acquisition of a training set of size k, can we proactively maximize the data utility after future unknown deletions? We propose that the learner anticipates/estimates the probability that (i) each data owner in the feasible set will independently delete its data or (ii) a number of deletions occur out of k, and justify our proposal with concrete real-world use cases. Then, instead of directly maximizing the data utility function, the learner can maximize the expected or risk-averse post-deletion utility based on the anticipated probabilities. We further propose how to construct these deletion-anticipative data selection (DADS) maximization objectives to preserve monotone submodularity and near-optimality of greedy solutions, how to optimize the objectives and empirically evaluate DADS' performance on real-world datasets. Copyright 2024 by the author(s)
Creating complex and interconnected fracture networks between injection and production wells is crucial for exploiting hot dry rock(HDR)geothermal ***,the simple planar fractures created by conventional hydraulic frac...
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Creating complex and interconnected fracture networks between injection and production wells is crucial for exploiting hot dry rock(HDR)geothermal ***,the simple planar fractures created by conventional hydraulic fracturing,primarily controlled by in situ stress,fail to connect directionally with the target *** study proposes a novel stimulation method,*** borehole fracturing,which shows great potential for guiding the directional propagation of *** fracture initiation and propagation behaviors of high-temperature granite under radial borehole fracturing are investigated and compared with those of conventional ***-dimensional morphological scanning and reinjection tests are used to quantitatively evaluate fracturing ***,the influences of key parameters,including rock temperature,in situ stress,injection rate,fluid viscosity,azimuth of the radial borehole,and the number of radial boreholes on the fracture morphology and breakdown pressure are *** results show that radial borehole fracturing can effectively guide the initiation and propagation of fractures along the radial *** breakdown pressure of radial borehole fracturing can be reduced by 14.1%–43.7%compared to conventional fracturing.A higher fluid-rock temperature difference reduces the directional propagation range of fractures guided by the radial *** in the vertical density of radial boreholes,injection rate,and fluid viscosity enhance the guiding ability of radial ***,there is a competitive relationship between in situ stress and the azimuth of radial boreholes in controlling fracture *** research provides a viable alternative for the directional connection of injection-production wells in HDR reservoirs.
With the increasing popularity of short video plat-forms, the massive UGC provides high-quality materials for brand advertising. Recently, personalized content discovery methods have been proposed to recommend appropr...
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With the growing popularity of over-the-top (OTT) streaming services, distinguishing between live and video-on-demand (VoD) streams is becoming increasingly important for network operators and OEMs [1]. However, tradi...
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