بدائل البحث:
training algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
based training » based learning (توسيع البحث)
data finding » data mining (توسيع البحث), data hiding (توسيع البحث)
element » elements (توسيع البحث)
training algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
based training » based learning (توسيع البحث)
data finding » data mining (توسيع البحث), data hiding (توسيع البحث)
element » elements (توسيع البحث)
-
61
A fast exact sequential algorithm for the partial digest problem
منشور في 2016"…Two types of simulated data, random and Zhang, are used to measure the efficiency of the algorithm. …"
-
62
Using genetic algorithms to optimize software quality estimation models
منشور في 2004"…This thesis explores the use of genetic algorithms for the problem of optimizing existing rule-based software quality estimation models. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
63
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
منشور في 2024"…Hundreds of such labeled graphs were used to train the model to predict the location of centroids. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
64
Use of Data Mining Techniques to Detect Fraud in Procurement Sector
منشور في 2022"…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …"
احصل على النص الكامل
-
65
-
66
Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles
منشور في 2024"…<p dir="ltr">The control and state estimation of Unmanned Aerial Vehicles (UAVs) provide significant challenges due to their complex and nonlinear dynamics, as well as uncertainties arising from factors such as sensor noise, wind gusts, and parameter fluctuations. Neural network-based methods tackle these problems by accurately approximating unknown nonlinearities through training on input-output data. …"
-
67
-
68
A method for optimizing test bus assignment and sizing for system-on-a-chip
منشور في 2017"…Test access mechanism (TAM) is an important element of test access architectures for embedded cores and is responsible for on-chip test patterns transport from the source to the core under test to the sink. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
69
Assessment of static pile design methods and non-linear analysis of pile driving
منشور في 2006"…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
70
Evolutionary algorithms for state justification in sequential automatic test pattern generation
منشور في 2005"…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …"
احصل على النص الكامل
article -
71
-
72
The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs
منشور في 2023"…One of the prominent challenges lies in the presence of barren plateaus (BP) in QML algorithms, particularly in quantum neural networks (QNNs). …"
-
73
-
74
A data envelopment analysis model for opinion leaders’ identification in social networks
منشور في 2024"…The graph-based methods are one of the most important approaches for finding OLs in OSNs. Social Network Analysis (SNA)-based OLs finding methods deal with a considerable amount of data due to using entire relationships between all of the users in a network, which makes the algorithms time-consuming. …"
-
75
UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices
منشور في 2019"…To solve it, we first propose the high-complexity branch, reduce and bound (BRB) algorithm to find the global optimal solution for relatively small scale scenarios. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
76
-
77
Using machine learning algorithm for detection of cyber-attacks in cyber physical systems
منشور في 2022"…We begin a process to cleaning up the data in the CPS database by applying normalization to eliminate errors and duplication. …"
احصل على النص الكامل
احصل على النص الكامل
-
78
Automatic keyword extraction from a real estate classifieds data set
منشور في 2011"…We begin with designing data cleansing algorithms to verify different attributes of the real estate classified. …"
احصل على النص الكامل
-
79
BioNetApp: An interactive visual data analysis platform for molecular expressions
منشور في 2019"…BioNetApp also provides data clustering based on molecular concentrations using Self Organizing Maps (SOM), K-Means, K-Medoids, and Farthest First algorithms.…"
-
80
Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
منشور في 2021"…A k-Medoid based algorithm is employed for clustering whereas the forecasting models are generated for different clusters of load profiles. …"