Search alternatives:
processing algorithm » processing algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
could algorithm » mould algorithm (Expand Search), carlo algorithm (Expand Search), colony algorithm (Expand Search)
element » elements (Expand Search)
processing algorithm » processing algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
could algorithm » mould algorithm (Expand Search), carlo algorithm (Expand Search), colony algorithm (Expand Search)
element » elements (Expand Search)
-
261
3D GEOSTATISTICAL MODELING OF FACIES AND PETROPHYSICAL PROPERTIES OF THE UPPER KHARTAM OUTCROP OF KHUFF FORMATION, CENTRAL SAUDI ARABIA
Published 2020“…In the context of 3D modelling, lithofacies within each zone was populated separately by using different geostatistical algorithm. Based on the relative sea level, the dominated lithofacies and the presence or absence of marine fauna, the studied interval was subdivided into three broad intervals. …”
Get full text
masterThesis -
262
Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches
Published 2021Get full text
doctoralThesis -
263
Pre-production movie rating prediction using machine learning. (c2017)
Published 2017“…In this work, we present several machine learning techniques (Support Vectors Machine, K-Nearest Neighbors, C5, Neural Networks and Case-Based Reasoning) along with a genetic algorithm to predict the success of a movie before its production using the IMDB rating as an indicator of the success. …”
Get full text
Get full text
Get full text
masterThesis -
264
-
265
StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features
Published 2024“…We believe, StackDPPred could serve as a valuable tool accelerating the screening of large-scale DPs and peptide-based drug discovery process.…”
-
266
Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization
Published 2019Get full text
doctoralThesis -
267
A machine learning approach for localization in cellular environments
Published 2018“…A machine learning approach is developed for localization based on received signal strength (RSS) from cellular towers. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
268
Optimizing ADWIN for Steady Streams
Published 2022“…However, online machine learning comes with many challenges for the different aspects of the learning process, starting from the algorithm design to the evaluation method. …”
Get full text
Get full text
Get full text
-
269
Automated quantification of penile curvature using artificial intelligence
Published 2022“…<h3>Objective</h3><p dir="ltr">To develop and validate an artificial intelligence (AI)-based algorithm for capturing automated measurements of Penile curvature (PC) based on 2-dimensional images.…”
-
270
Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology
Published 2023“…As personalized medicine and toxicogenomics involve huge data processing, AI can expedite this process by providing powerful data processing, analysis, and interpretation algorithms. …”
-
271
Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
Published 2023“…Pre-processing is a vital part of the data preparation process for cyberbullying detection. …”
Get full text
-
272
Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model
Published 2024“…The proposed approach of DDN is trained with proper data sequences used for communication and the training phase is conducted with the norms of numerous channel variants. …”
-
273
Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodolog...
Published 2023“…This paper aims to develop long-term adaptation strategies for the existing Canadian school buildings under extreme current and future climates using a developed methodology based on global and local sensitivity analysis and Multi-Objective Optimization Genetic Algorithm. …”
Get full text
Get full text
Get full text
-
274
-
275
Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying
Published 2023“…Many efforts have been deployed by the IR community to extend freetext query processing toward semi-structured XML search. Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. …”
Get full text
Get full text
Get full text
Get full text
article -
276
Evacuation of a highly congested urban city
Published 2017“…As the evacuation route planning is computationally challenging, an evacuation scheduling algorithm was adopted to expedite the solution process. …”
Get full text
Get full text
Get full text
conferenceObject -
277
Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks
Published 2023“…The data collected for four months with various parameters have been applied randomly as input data using GD and LM type of artificial neural network compared to actual solar energy data. The proposed ANN based algorithm has been used for unswerving petite term forecasting. …”
Get full text
-
278
Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
Published 2022“…For sentiment analysis, pre-processing is a crucial step in the data preparation process. …”
Get full text
-
279
Shuffled Linear Regression with Erroneous Observations
Published 2019“…Existing methods are either applicable only to data with limited observation errors, work only for partially shuffled data, sensitive to initialization, and/or work only with small dimensions. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
280
Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Blends
Published 2024“…In addition, the possible minimum and maximum values of responses at the corresponding operating parameters are found using a genetic algorithm (GA) approach. Model 1 could capture the computational fluid dynamics (CFD) outputs with high precision at different flame radiuses and time instants with a maximum absolute error percentage of 5.46%. …”