Search alternatives:
modeling algorithm » scheduling algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
spatial modeling » statistical modeling (Expand Search)
iii algorithm » rd algorithm (Expand Search)
based iii » basel iii (Expand Search), based iot (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
spatial modeling » statistical modeling (Expand Search)
iii algorithm » rd algorithm (Expand Search)
based iii » basel iii (Expand Search), based iot (Expand Search)
-
1
-
2
Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
Published 2016Subjects: Get full text
doctoralThesis -
3
Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams
Published 2021“…Both combine a generic MILP solver and a genetic algorithm, resulting in efficient anytime algorithms. …”
-
4
Three-phase approach for curriculum-based course timetabling problem. (c2012)
Published 2012Get full text
Get full text
masterThesis -
5
Intelligent Rapidly-Exploring Random Tree Star Algorithm
Published 2024Get full text
doctoralThesis -
6
-
7
Three-phase simulated annealing algorithms for exam scheduling
Published 2003“…Hence, we refer to our solution methods as 3-phase simulated annealing (3PSA). We empirically compare 3PSA with a 4-phase clustering-based heuristic algorithm using realistic data. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
8
Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation
Published 2024“…Efforts are underway to develop algorithms that can generate 7T MRI from 3T MRI to achieve better image quality without the need for 7T MRI machines. …”
-
9
CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments
Published 2024“…<p dir="ltr">In our research, we address the problem of coordination and planning in heterogeneous multi-robot systems for missions that consist of spatially localized tasks. Conventionally, this problem has been framed as a task allocation problem that maps tasks to robots. …”
-
10
-
11
Design of adaptive arrays based on element position perturbations
Published 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. …”
Get full text
Get full text
article -
12
Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach
Published 2025“…To mitigate overfitting, we implemented dropout layers, batch normalization, and early stopping, significantly enhancing the model’s generalization capability. Specifically, three different open-access datasets were combined into a single training dataset, capturing extensive temporal, spatial, and environmental variability. …”
-
13
Acoustic Based Localization of Partial Discharge Inside Oil-Filled Transformers
Published 2022“…<p dir="ltr">This paper addresses the localization of Partial Discharge through a 3D Finite Element Method analysis of acoustic wave propagation inside a 3-phase 35kV transformer with the help of COMSOL Multiphysics software. …”
-
14
Attacking ElGamal based cryptographic algorithms using Pollard's rho algorithm
Published 2005Get full text
Get full text
Get full text
Get full text
conferenceObject -
15
-
16
Belief selection in point-based planning algorithms for POMDPs
Published 2017“…We study three methods designed to improve point-based value iteration algorithms. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
17
A Comparative Study of Elgamal Based Cryptographic Algorithms
Published 2004Get full text
Get full text
Get full text
conferenceObject -
18
A three-stage hybrid heuristic algorithm for the capacitated vehicle routing problem. (c2016)
Published 2016“…We consider heuristic methods that are based on two-phase algorithms. Each such algorithm starts by clustering the underlining network before proceeding into the route construction phase. …”
Get full text
Get full text
Get full text
masterThesis -
19
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. …”
-
20
RRT and Octomap based 3D environment exploration and mapping
Published 2020Get full text
doctoralThesis