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processing algorithm » processing algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
could algorithm » mould algorithm (توسيع البحث), carlo algorithm (توسيع البحث), colony algorithm (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
could algorithm » mould algorithm (توسيع البحث), carlo algorithm (توسيع البحث), colony algorithm (توسيع البحث)
element » elements (توسيع البحث)
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C-3PA: Streaming Conformance, Confidence and Completeness in Prefix-Alignments
منشور في 2023"…The aim of streaming conformance checking is to find dis crepancies between process executions on streaming data and the refer ence process model. …"
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183
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
منشور في 2020"…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. …"
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184
Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation
منشور في 2023"…<p dir="ltr">The process of using robotic technology to examine underwater systems is still a difficult undertaking because the majority of automated activities lack network connectivity. …"
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185
Investigation of Forming a Framework to shortlist contractors in the tendering phase
منشور في 2022"…This research has generated a base model that can be altered depending on the project requirements which can assist all parties involved within the tendering process to save time and money and improve the success rate of projects. …"
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186
Defining quantitative rules for identifying influential researchers: Insights from mathematics domain
منشور في 2024"…Within each categorical grouping, we meticulously selected the five most pivotal parameters. This selection process was guided by an importance score, that was derived after assessing its influence on the model's performance in the classification of data pertaining to both awardees and non awardees. …"
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187
Blood-Based Proteomic Profiling Identifies Potential Biomarker Candidates and Pathogenic Pathways in Dementia
منشور في 2023"…We used a high-throughput proximity extension immunoassay to quantify 1090 proteins in 122 participants (22 with dementia, 64 with mild cognitive impairment (MCI), and 36 controls with normal cognitive function). Limma-based differential expression analysis reported the dysregulation of 61 proteins in the plasma of those with dementia compared with controls, and machine learning algorithms identified 17 stable diagnostic biomarkers that differentiated individuals with AUC = 0.98 ± 0.02. …"
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189
Correlation Clustering with Overlaps
منشور في 2020"…In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …"
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masterThesis -
190
Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches
منشور في 2024"…<p dir="ltr">Most companies nowadays are using digital platforms for the recruitment of new employees to make the hiring process easier. The rapid increase in the use of online platforms for job posting has resulted in fraudulent advertising. …"
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Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn...
منشور في 2020"…A special consideration was given to data pre-processing and dimensionality reduction such Chi Squared (CS) and Recursive Feature Elimination (RFE) to improve progressively the proposed models performance. …"
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194
Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring
منشور في 2024"…<h3>Background and Motivations</h3><p dir="ltr">Physiological signals, such as the Photoplethysmogram (PPG) collected through wearable devices, consistently encounter significant motion artifacts. Current signal processing techniques, and even state-of-the-art machine learning algorithms, frequently struggle to effectively restore the inherent bodily signals amidst the array of randomly generated distortions. …"
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195
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Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems
منشور في 2022"…Data-driven algorithms with capabilities to predict the system’s dynamic behavior still need to be developed. …"
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197
Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
منشور في 2021"…In this regard, this paper is an in-depth review of existing anomaly detection frameworks for building energy consumption based on artificial intelligence. Specifically, an extensive survey is presented, in which a comprehensive taxonomy is introduced to classify existing algorithms based on different modules and parameters adopted, such as machine learning algorithms, feature extraction approaches, anomaly detection levels, computing platforms and application scenarios. …"
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Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts
منشور في 2022"…So far none addresses the use of Threat Intelligence (IT) data in Ensemble Learning algorithms to improve the detection process, nor does it work as a function of time, that is, taking into account what happens on the network in a limited time interval. …"
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