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developing based » developing a (Expand Search), developing 21st (Expand Search)
data detection » data injection (Expand Search)
maya algorithm » jaya algorithm (Expand Search)
element » elements (Expand Search)
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301
A novel hybrid methodology for fault diagnosis of wind energy conversion systems
Published 2023“…Therefore, a hybrid feature selection based diagnosis technique, that can preserve the advantages of wrapper and filter algorithms as well as RF model, is proposed. In the first phase, the neighborhood component analysis (NCA) filter algorithm is used to reduce and select only the pertinent features from the original raw data. …”
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302
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303
Autonomous Vehicles Delivery Systems: Analyzing Vehicle Routing Problems with a Moving Depot
Published 2019Get full text
doctoralThesis -
304
Benchmark on a large cohort for sleep-wake classification with machine learning techniques
Published 2019“…We propose the adoption of this publicly available large dataset, which is at least one order of magnitude larger than any other dataset, to systematically compare existing methods for the detection of sleep-wake stages, thus fostering the creation of new algorithms. …”
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305
Downlink channel estimation for IMT-DS
Published 2001“…The DL channel of an IMT-DS system consists of time-multiplexed pilot and data symbols to facilitate coherent detection. To obtain channel estimates during pilot symbols, we propose a chip level adaptive channel estimation which performs better than the conventional method. …”
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A microscale evaluation of pavement roughness effects for asset management
Published 2013“…Finally, using the described technology, a pothole detection algorithm is devised to automatically map road roughness, a step towards a better asset management system.…”
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308
A hybrid approach for XML similarity
Published 2007“…In this paper, we integrate IR semantic similarity assessment in an edit distance algorithm, seeking to amend similarity judgments when comparing XML-based documents. …”
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conferenceObject -
309
An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation
Published 2019“…Our approach combines the strengths of mobile crowdsensing, with the support of the mobile infrastructure, a multi-criteria algorithm for the participants' selection, and a deductive rule-based model for traffic condition estimation. …”
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310
A Digital DNA Sequencing Engine for Ransomware Analysis using a Machine Learning Network
Published 2020“…The proposed work contains three significant phases: Preprocessing and Feature Selection, DNA Sequence Generation and Ransomware Detection. In the first phase, data preprocessing and feature selection technique is applied to the collected dataset. …”
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311
Exploratory risk prediction of type II diabetes with isolation forests and novel biomarkers
Published 2024“…In particular, Isolation Forest (iForest) was applied as an anomaly detection algorithm to address class imbalance. iForest was trained on the control group data to detect cases of high risk for T2DM development as outliers. …”
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312
An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control
Published 2020“…To accomplish such a feat, four user-specific methods were developed, implemented, and tested; all of which were based on a benchmark database created by the authors. …”
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313
Optimizing clopidogrel dose response
Published 2016“…A clinical-pharmacogenetic algorithm was developed based on whether clopidogrel shows 1) expected effect as per indication, 2) little or no effect, or 3) clinical features that patients experience and fit with clopidogrel adverse drug reactions. …”
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314
A TABU SEARCH APPROACH TO THE CLUSTERING PROBLEM
Published 2020“…In this paper, we develop a new algorithm for solving this problem based on a tabu search technique. …”
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315
A linear programming approach for the weighted graph matchingproblem
Published 1993“…The developed algorithm is compared to two other algorithms. …”
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316
Autonomous Demand-Side Management in the Future Smart Grid
Published 2016Get full text
doctoralThesis -
317
Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters
Published 2025“…In this study, we introduce the multimodal feature fusion for non-intrusive occupancy monitoring (MMF-NIOM) framework, which leverages both classical and deep machine learning algorithms to achieve state-of-the-art occupancy detection performance using smart meter data. …”
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318
An aspect-oriented framework for systematic security hardening of software
Published 2008“…It is based on the full separation between the roles and duties of the security experts and the developers performing the hardening. …”
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masterThesis -
319
A LINEAR-PROGRAMMING APPROACH FOR THE WEIGHTED GRAPH MATCHING PROBLEM
Published 2020“…The developed algorithm is compared to two other algorithms. …”
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320
Tabu Search For A Class Of Single-Machine Scheduling Problems
Published 2020“…The performance of the developed algorithm is tested for solving the variance minimization problem. …”
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