بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
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81
Towards a Unified Arabic Government Services Chatbot Based on Ontology
منشور في 2020"…The current ontology is an enhancement which builds on a previously created ontology. Furthermore, a chatbot response algorithm is proposed to respond to government services queries through a hybrid of three different approaches that were executed in a pipeline fashion based on the query complexity. …"
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82
Assessing Factors Influencing Customers’ Adoption of AI-Based Voice Assistants
منشور في 2024"…It also provides implications for tech-managers and algorithm designers to build effective voice technology for superior user experience.…"
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83
Generic metadata representation framework for social-based event detection, description, and linkage
منشور في 2020"…The latter are required as the building blocks for event-based Collective Knowledge (CK) organization, where CK underlines the combination of all known data, information, and metadata concerning a given concept or event. …"
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article -
84
AI-based remaining useful life prediction and modelling of seawater desalination membranes
منشور في 2024احصل على النص الكامل
doctoralThesis -
85
On sensor selection in mobile devices based on energy, application accuracy, and context metrics
منشور في 2013"…We use this algorithm to build a sensor selection model to choose among location sensors. …"
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conferenceObject -
86
Predicting Dropouts among a Homogeneous Population using a Data Mining Approach
منشور في 2019"…Our study also reveals that ensemble machine learning algorithms are more reliable and outperform standard algorithms.…"
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87
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88
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 -
89
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90
A Framework for Predictive Modeling in Sustainable Projects
منشور في 2012احصل على النص الكامل
doctoralThesis -
91
Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils
منشور في 2020"…Equivalent AC resistance of spiral coils is modeled based on eddy currents simulations using Finite Element Method (FEM) and Maxwell simulator. Based on the FEM simulations, a new approximation method using separation of variables is proposed as a function of spiral coil's main parameters. …"
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92
Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments
منشور في 2025"…These processes begin with capturing speech in analog form and applying signal processing algorithms to ensure compatibility with devices like cochlear implants (CIs). …"
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93
Integrated whole transcriptome and small RNA analysis revealed multiple regulatory networks in colorectal cancer
منشور في 2021"…Additionally, potential interaction between differentially expressed lncRNAs such as H19, SNHG5, and GATA2-AS1 with multiple miRNAs has been revealed. Taken together, our data provides thorough analysis of dysregulated protein-coding and non-coding RNAs in CRC highlighting numerous associations and regulatory networks thus providing better understanding of CRC.…"
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94
Machine learning approach for the classification of corn seed using hybrid features
منشور في 2020"…The nine optimized features have been acquired by employing the correlation-based feature selection (CFS) technique with the Best First search algorithm. …"
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95
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96
Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
منشور في 2025"…<p dir="ltr">In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. …"
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97
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98
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99
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
منشور في 2024"…Generally, RKPCA reduces the number of samples in the training data set and then builds the KPCA model based on this data set. In this paper, the proposed algorithm selects relevant observations from the original data set by utilizing a class interval technique (i.e. histogram) to maintain a bunch of representative samples from each bin. …"
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100