Search alternatives:
processing algorithm » processing algorithms (Expand Search)
light processing » signal processing (Expand Search), text processing (Expand Search), melt processing (Expand Search)
method algorithm » mould algorithm (Expand Search)
using algorithms » cosine algorithm (Expand Search)
level using » level fusion (Expand Search)
element » elements (Expand Search)
processing algorithm » processing algorithms (Expand Search)
light processing » signal processing (Expand Search), text processing (Expand Search), melt processing (Expand Search)
method algorithm » mould algorithm (Expand Search)
using algorithms » cosine algorithm (Expand Search)
level using » level fusion (Expand Search)
element » elements (Expand Search)
-
101
Modulation With Metaheuristic Approach for Cascaded-MPUC49 Asymmetrical Inverter With Boosted Output
Published 2020“…A detailed explanation of level formation is discussed. This converter is operated using an Artificial Neural Network (ANN) which is trained for the harmonic elimination in the output voltage waveform. …”
-
102
FPGA-Based Network Traffic Classification Using Machine Learning
Published 2019Get full text
doctoralThesis -
103
-
104
A method for data path synthesis using neural networks
Published 2017Get full text
Get full text
Get full text
Get full text
conferenceObject -
105
-
106
Correlation Clustering with Overlaps
Published 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. …”
Get full text
Get full text
Get full text
masterThesis -
107
Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining
Published 2021“…Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. The usability of the proposed framework is evaluated using the System Usability Scale (SUS) resulting in overall high acceptability levels across all users. …”
Get full text
-
108
Joint distributed synchronization and positioning in UWB ad hoc networks using TOA
Published 2006“…Finally, the proposed distributed maximum log-likelihood algorithm proves to preserve a reasonable level of complexity in each node by approximating asynchronously the positive gradient direction of the log-likelihood function. …”
Get full text
Get full text
Get full text
article -
109
Developing a UAE-Based Disputes Prediction Model using Machine Learning
Published 2022Get full text
doctoralThesis -
110
Using artificial intelligence to improve body iron quantification: A scoping review
Published 2023“…The search revealed a wide range of machine learning algorithms used by different studies. Notably, most studies used a single data type. …”
-
111
Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing
Published 2015Get full text
doctoralThesis -
112
Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System
Published 2021“…The proposed classifier was used to classify the Epidemiology of Diabetes Interventions and Complications (EDIC) clinical trial patients and observed that in the first, eighth, and nineteenth EDIC years 18.31%, 39.45%, and 59.14% patients had different levels of DSPN. …”
-
113
Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery
Published 2018Get full text
doctoralThesis -
114
Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques
Published 2017Get full text
doctoralThesis -
115
Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques
Published 2024“…The DinoLite Microscope’s high-resolution images are used to measure the length and width of wheat anthers. …”
-
116
-
117
Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
Published 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. …”
-
118
Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network
Published 2024“…Advanced machine learning algorithms are used in this study to figure out the complicated relationship between the crashworthiness parameters of the hexagonal composite ring specimens under lateral compressive, energy absorption, and failure modes. …”
-
119
On the exact recovery of the FFT of noisy signals using a non-subtractively dither-quantized input channel
Published 2003“…Through several algorithmic changes, the FFT and its variants have not only breathed a new lease of life into an otherwise latent classical DFT algorithm but also led to an explosion of applications in numerous areas. …”
Get full text
Get full text
article -
120
Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques
Published 2025“…In the first stage, the WPT is used to split the PV voltage and string currents into specific sub-band frequencies, and then EMD is used to decompose the selected frequency bands into a number of intrinsic mode functions (IMFs) and a residual. …”