Search alternatives:
processing algorithm » processing algorithms (Expand Search)
element processing » melt processing (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
rd algorithm » _ algorithms (Expand Search)
processing algorithm » processing algorithms (Expand Search)
element processing » melt processing (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
rd algorithm » _ algorithms (Expand Search)
-
61
Failure-Rate Prediction for De Havilland Dash-8 Tires Employing Neural-Network Technique
Published 2006“…An artificial neural-network model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the two-layered feedforward back-propagation algorithm as a learning rule is developed. …”
Get full text
article -
62
Parallel physical optimization algorithms for allocating data to multicomputer nodes
Published 1994“…They are based on simulated annealing, neural networks and genetic algorithms. All three algorithms deviate from the sequential versions in order to achieve acceptable speedups. …”
Get full text
Get full text
Get full text
article -
63
Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)
Published 2020“…To cope with this difficult task and perform an effective and well-controlled BP operation, an artificial neural network (ANN) algorithm was developed to simulate, model, and control a three-stage (anaerobic/anoxic and MBBR) enhanced nutrient removal biological process (ENR-BP) challenging real wastewater. …”
-
64
-
65
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
Published 1992“…We also present a technique for efficient mapping of large data sets. The algorithms include a parallel genetic algorithm (PGA), a parallel neural network algorithm (PNN) and a parallel simulated annealing algorithm (PSA). …”
Get full text
Get full text
Get full text
masterThesis -
66
Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks
Published 2023“…This paper aims to acknowledge the extended stellar forecasting algorithm using artificial neural network common sensical aspect. …”
Get full text
-
67
MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection
Published 2023“…This paper proposes a novel neural architecture search (NAS) algorithm, named MSD-NAS, to automate this laborious task. …”
-
68
Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network
Published 2024“…These algorithms include random forest (RF) classification and artificial neural networks (ANN). …”
-
69
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
Published 2022“…Besides micro-moment features extraction, we also experiment with a deep neural network architecture for efficient abnormality detection and classification. …”
-
70
Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review
Published 2023“…In this question, we also determined the various models, frameworks, techniques and algorithms suggested by ANNs for the security advancements of IoT. …”
-
71
Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation
Published 2024“…First, a term-category feature matrix is derived from a modified version of the supervised Term-Frequency Inverse-Category-Frequency (TF-ICF) weighting model. This is done by embedding the TF-ICF matrix in a one-layer feed-forward neural network. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
72
Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment
Published 2023“…This paper demonstrated the results of executing various machine learning algorithms and proposed an enormously boosted neural network. …”
-
73
A Framework for Predictive Modeling in Sustainable Projects
Published 2012Get full text
doctoralThesis -
74
Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment
Published 2022“…This paper provides a deep learning-based decryptor for investigating the permutation primitives used in multimedia block cipher encryption algorithms.We aim to investigate how deep learning can be used to improve on previous classical works by employing ciphertext pair aspects to maximize information extraction with low-data constraints by using convolution neural network features to discover the correlation among permutable atoms to extract the plaintext from the ciphered text without any P-box expertise. …”
-
75
Brain Source Localization in the Presence of Leadfield Perturbations
Published 2015Get full text
doctoralThesis -
76
Exploring New Parameters to Advance Surface Roughness Prediction in Grinding Processes for the Enhancement of Automated Machining
Published 2024“…Recent studies have concentrated on the development of neural networks, as a subcategory of machine learning techniques, to predict non-linear roughness behavior in relation to various parameters. …”
-
77
-
78
-
79
-
80
Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
Published 2022“…This study aims to develop five robust machine learning (ML) algorithms and their fusions for a wide range of flow patterns (FP) regimes. …”