بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
-
101
-
102
-
103
-
104
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. …"
-
105
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. …"
-
106
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. …"
-
107
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. …"
احصل على النص الكامل
-
108
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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
109
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. …"
-
110
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. …"
احصل على النص الكامل
-
111
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. …"
-
112
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. …"
-
113
Process Mining over Unordered Event Streams
منشور في 2020"…This requires online algorithms that, instead of keeping the whole history of event data, work incrementally and update analysis results upon the arrival of new events. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
-
114
Scan Test Cost and Power Reduction Through Systematic Scan Reconfiguration
منشور في 0000"…Using SAS, this paper also presents systematic scan reconfiguration, a test data compression algorithm that is applied to achieve 10times to 40 times compression ratios without requiring any information from the automatic-test-pattern-generation tool about the unspecified bits. …"
احصل على النص الكامل
احصل على النص الكامل
article -
115
Particle swarm optimization algorithm: review and applications
منشور في 2024"…Particle swarm optimization (PSO) is a heuristic global optimization technique and an optimization algorithm that is swarm intelligence-based. It is based on studies into the movement of bird flocks. …"
احصل على النص الكامل
-
116
Mapping realistic data sets on parallel computers
منشور في 1993احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
117
NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM
منشور في 2020"…The performance of the new algorithms is compared with the fuzzy c-means algorithm by testing them on four published data sets. …"
احصل على النص الكامل
article -
118
-
119
-
120
Nonlinear analysis of shell structures using image processing and machine learning
منشور في 2023"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"