بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
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101
Design of adaptive arrays based on element position perturbations
منشور في 1993"…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …"
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article -
102
Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System
منشور في 2021"…It is believed that the evaluation of the outcomes of the course, based on grades, is necessary to improve the teaching and learning process. Our research processes and workflows supported by AI utilize machine learning technology in order to interpret big data, analyze broad data sets and recognize associations with more reliably. …"
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103
Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018)
منشور في 2018"…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …"
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masterThesis -
104
Topics in graph algorithms
منشور في 2003"…This is achieved by implementing some algorithms for the vertex cover problem, and conducting experiments on real data sets. …"
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masterThesis -
105
The Use of Microwave Tomography in Bone Healing Monitoring
منشور في 2019احصل على النص الكامل
doctoralThesis -
106
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107
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108
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109
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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110
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111
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112
Severity-Based Prioritized Processing of Packets with Application in VANETs
منشور في 2019"…Also, the proposed heuristic is tested against a non-prioritized processing algorithm that works using first come first served policy. …"
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113
Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data
منشور في 2021"…In addition, for grouping similar antipatterns, a clustering process was performed to eradicate the design errors. …"
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114
Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation
منشور في 2023"…Additionally, a clustering algorithm with a fuzzy membership function is implemented, allowing the robots to advance in accordance with predefined clusters and arrive at their starting place within a predetermined amount of time. …"
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115
Design of an innovative and self-adaptive-smart algorithm to investigate the structural integrity of a rail track using Rayleigh waves emitted and sensed by a fully non-contact las...
منشور في 2020"…In view of this, an innovative signal processing technique called a self-adaptive-smart algorithm (SASA) was designed and developed. …"
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116
Bee Colony Algorithm for Proctors Assignment.
منشور في 2015"…The Bee Colony algorithm is a recent population-based search algorithm that mimics the natural behavior of swarms of honey bees during the process of collecting food. …"
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article -
117
Oversampling techniques for imbalanced data in regression
منشور في 2024"…For tabular data we conducted a comprehensive experiment using various models trained on both augmented and non-augmented datasets, followed by performance comparisons on test data. …"
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118
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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119
Unsupervised outlier detection in multidimensional data
منشور في 2022"…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. Furthermore, the existence of anomalies in the data can heavily degrade the performance of machine learning algorithms. …"
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120
Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment
منشور في 2022"…This paper provides a deep learning-based decryptor for investigating the permutation primitives used in multimedia block cipher encryption algorithms.We aim to investigate how deep learning can be used to improve on previous classical works by employing ciphertext pair aspects to maximize information extraction with low-data constraints by using convolution neural network features to discover the correlation among permutable atoms to extract the plaintext from the ciphered text without any P-box expertise. …"