Search alternatives:
modeling algorithm » scheduling algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
mean algorithm » deer algorithm (Expand Search), search algorithm (Expand Search)
path modeling » spatial modeling (Expand Search)
element » elements (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
mean algorithm » deer algorithm (Expand Search), search algorithm (Expand Search)
path modeling » spatial modeling (Expand Search)
element » elements (Expand Search)
-
1
A neural networks algorithm for data path synthesis
Published 2003“…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …”
Get full text
Get full text
Get full text
article -
2
-
3
-
4
CNN and HEVC Video Coding Features for Static Video Summarization
Published 2022Get full text
article -
5
-
6
-
7
Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars
Published 2023“…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.…”
-
8
A method for data path synthesis using neural networks
Published 2017“…Presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
9
A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text
Published 2019“…The previously published research on Arabic ontology learning from text falls into three categories: developing manually hand-crafted rules, using ordinary supervised/unsupervised machine learning algorithms, or a hybrid of these two approaches. The model proposed in this work contributes to Arabic ontology learning in two ways. …”
Get full text
Get full text
-
10
-
11
The Use of Microwave Tomography in Bone Healing Monitoring
Published 2019Get full text
doctoralThesis -
12
A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT
Published 2023“…<p dir="ltr">In mobile edge computing (MEC), it is difficult to recognise an optimum solution that can perform in limited energy by selecting the best communication path and components. This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …”
-
13
-
14
-
15
Automatic Video Summarization Using HEVC and CNN Features
Published 2022Get full text
doctoralThesis -
16
Hybrid Optimized Approaches for Routing and Resource Reservation Protocols in Optical Networks
Published 2021“…Route-Model computes routing information which is integrated with the first-fit algorithm. …”
-
17
A systolic algorithm for VLSI design of a 1/N rate Viterbi decoder
Published 1989“…The second consists of a matrix of simpler processors which update survived paths and provide the decoded output. The systolic algorithm is modeled in AHPL to verify functional correctness. …”
Get full text
Get full text
article -
18
Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study
Published 2021“…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …”
Get full text
article -
19
A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
Published 2011Get full text
Get full text
masterThesis -
20