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processing algorithm » processing algorithms (Expand Search)
making algorithm » cosine algorithm (Expand Search)
would algorithm » mould algorithm (Expand Search)
data making » data mining (Expand Search)
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Corrosion Monitoring Technologies for Reinforced Concrete Structures: A Review
Published 2023“…New technology, algorithms, data processing, and AI are new approaches to improving corrosion monitoring processes. …”
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283
Scheduling and allocation in high-level synthesis using stochastic techniques
Published 2020“…High-level synthesis is the process of automatically translating abstract behavioral models of digital systems to implementable hardware. …”
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284
Positive Unlabelled Learning to Recognize Dishes as Named Entity
Published 2019“…With the lack of labelled data, I try to overcome the cold start and avoid manual labelling by building a lookup table from a dictionary. …”
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285
Applications of fast fourier transform in the integrity evaluation of deep foundations
Published 2016“…The method is developed and validated using experimental data, and is based on applying the fast Fourier transform mapping algorithm on data obtained from cross-hole sonic logging. …”
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286
Modelling of pollutant transport in compound open channels
Published 1998“…The numerical computation of open-channel flows requires preparing and processing larger volumes of boundary and bathymetry data for computer inputs and the development of numerical algorithms for treating complex boundary condition, channel properties, and free surface effects. …”
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masterThesis -
287
Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations
Published 2025“…<p>Human behavior significantly impacts domestic energy consumption, making it essential to monitor and improve these consumption patterns. …”
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288
A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks
Published 2025“…Deep reinforcement learning (DRL) offers a data-driven alternative that couples perception with sequential decision-making. …”
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289
Modeling and Bias-Robust Estimation of the Acoustic Release of Chemotherapeutics from Liposomes
Published 2019“…Optimality is guaranteed by accurately identifying the underlying statistical noise characteristics in experimental data. The estimator also quantifies the bias in the release, exhibited by the experimental data. …”
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290
Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review
Published 2022“…WDs coupled with artificial intelligence (AI) algorithms show promise to help understand and conclude meaningful information from the gathered data and provide advanced and clinically meaningful analytics.…”
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291
Anomaly Detection Based Framework for Profile Monitoring
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doctoralThesis -
292
Reconstruction and simulation of neocortical microcircuitry
Published 2015“…The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse experimental data. …”
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293
Anonymizing multimedia documents
Published 2016“…We provide a sanitizing MD∗-algorithm to enforce de-linkability along with a utility function to evaluate the utility of multimedia documents that is preserved after the sanitizing process. …”
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294
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295
SemIndex: Semantic-Aware Inverted Index
Published 2017“…We provide here a new approach, called SemIndex, that extends the standard inverted index by constructing a tight coupling inverted index graph that combines two main resources: a general purpose semantic network, and a standard inverted index on a collection of textual data. We also provide an extended query model and related processing algorithms with the help of SemIndex. …”
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conferenceObject -
296
Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
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doctoralThesis -
297
Using machine learning to support students’ academic decisions
Published 2019“…This approach uses other students’ grades to make a prediction. This research tests and compares the performance of Decision Trees, Random Forests, Gradient-Boosted trees, and Deep Learning machine learning regression algorithms to predict student GPA. …”
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298
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299
Development of a deep learning-based group contribution framework for targeted design of ionic liquids
Published 2024“…This computational framework can expedite and improve the process of finding desirable molecular structures of IL via accurate property predictions in a data-driven manner. …”
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300
Identity and Aggregate Signature-Based Authentication Protocol for IoD Deployment Military Drone
Published 2021“…Both GPS and UAVN/FANET use open network channels for data broadcasting, which are exposed to several threats, thus making security risky and challenging. …”