Search alternatives:
method algorithm » mould algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
low algorithm » rd algorithm (Expand Search), colony algorithm (Expand Search)
element » elements (Expand Search)
method algorithm » mould algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
low algorithm » rd algorithm (Expand Search), colony algorithm (Expand Search)
element » elements (Expand Search)
-
221
Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodolog...
Published 2023“…The calibrated simulation model based on indoor and outdoor measured temperature for a school of interest is used to evaluate the optimization strategies. …”
Get full text
Get full text
Get full text
-
222
Blood Glucose Regulation Modelling and Intelligent Control
Published 2024Get full text
doctoralThesis -
223
Modelling of pollutant transport in compound open channels
Published 1998“…The present research investigates the numerical and experimental modelling aspects of flow in compound channels, with special interest in the transport of inert pollutant aspects. …”
Get full text
Get full text
masterThesis -
224
A Framework for Predictive Modeling in Sustainable Projects
Published 2012Get full text
doctoralThesis -
225
Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems
Published 2015Get full text
doctoralThesis -
226
Socially Motivated Approach to Simulate Negotiation Process
Published 2014Get full text
doctoralThesis -
227
An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure
Published 2024“…An extensive simulation study demonstrates the viability and efficiency of the proposed algorithm under various node failure models, and relevant metrics (e.g., node queue dimension, number of exchanged messages, and number of disconnected nodes) indicate a graceful degradation in performance with decreasing number of functioning nodes. …”
-
228
A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net
Published 2023“…We will discuss the need for AE, U-Net comparison to other DNNs, the benefits of converting the audio to 2D, input representations that are useful for different AE applications, the architecture of vanilla U-Net and the pre-trained models, variations in vanilla architecture incorporated in different E models, and the state-of-the-art AE algorithms based on U-Net in various applications. …”
-
229
Protein structure prediction in the 3D HP model
Published 2009“…To test our algorithm, we use two sets of benchmark sequences of different lengths. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
230
Three approaches to modelling heating and evaporation of monocomponent droplets
Published 2024“…In the third approach, the same algorithm as in the second approach is used to calculate the heat rate but the mass evaporation rate in this approach is inferred from the coupled solution to the momentum, mass and energy conservation equations in the gas phase; the gas mixture density in this approach depends on temperature. …”
-
231
A Hardware Model of an Expandable RSA Cryptogrsphic System
Published 1998“…This implementation is modeled using VHDL in a parametrizable manner. Two other parameterized RSA hardware designs have also been VHDL modeled for comparison. …”
Get full text
masterThesis -
232
A Blockchain Model for Secure Communications in Internet of Vehicles
Published 2021“…In this paper, we present a framework for secure IoV communications by utilizing the High Performance Blockchain Consensus (HPBC) algorithm. Based on a previously published communication model for VANETs that uses an efficient routing protocol for transmitting packets between vehicles, we describe in this paper how to integrate a blockchain model on top of the IoV communications system. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
233
DSDM: A Distributed Service Discovery Model for Manets
Published 2008“…The designed system is based on storing service descriptions in selected nodes that are searched in accordance to a proposed Minimum Distance Packet Forwarding (MDPF) algorithm. In addition to identifying and analyzing the design parameters of the system, this paper studies the delay and traffic performance using analytical derivations and experimental evaluation based on the ns-2 network simulation software. …”
Get full text
Get full text
Get full text
Get full text
article -
234
A cluster-based model for QoS-OLSR protocol
Published 2017Get full text
Get full text
Get full text
Get full text
conferenceObject -
235
-
236
LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
Published 2024Get full text
article -
237
Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems
Published 2022“…The proposed improved ABO method consists in reducing the number of samples in the training data set using the Euclidean distance and extracting the most significant features from the reduced data using ABO algorithm. …”
-
238
Bird’s Eye View feature selection for high-dimensional data
Published 2023“…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …”
-
239
Machine Learning Model for a Sustainable Drilling Process
Published 2023Get full text
doctoralThesis -
240
Nonlinear analysis of shell structures using image processing and machine learning
Published 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. …”