Search alternatives:
training algorithm » learning algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
based training » based learning (Expand Search)
element » elements (Expand Search)
training algorithm » learning algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
based training » based learning (Expand Search)
element » elements (Expand Search)
-
161
Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System
Published 2021“…We research and test the design of the right neural networks that achieves our goal. A modern algorithm was improvised for this reason. For our proposed recommendation system, a database program was created to store data and include details in the analysis of course learning outcomes. …”
Get full text
Get full text
-
162
Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE
Published 2020“…The hospitality industry is growing at an increasingly fast pace across the world which results in accumulating a large amount of data, including employee details, property details, purchase details, vendor details, and so on. …”
Get full text
-
163
Building power consumption datasets: Survey, taxonomy and future directions
Published 2020“…The latter will be very useful for testing and training anomaly detection algorithms, and hence reducing wasted energy. …”
-
164
Cutting‐edge technologies for detecting and controlling fish diseases: Current status, outlook, and challenges
Published 2024“…However, the industry is facing several difficulties, including infectious diseases, the most significant limiting factor for aquaculture expansion. …”
-
165
Energy-aware adaptive compression for mobile devices. (c2009)
Published 2009Get full text
Get full text
masterThesis -
166
-
167
Information warfare recovery-fighting back through the matrix. (c2012)
Published 2012Get full text
Get full text
masterThesis -
168
A synchronous/asynchronous multi-master replication method. (c2007)
Published 2007Get full text
Get full text
masterThesis -
169
-
170
-
171
Behavior-Based Machine Learning Approaches to Identify State-Sponsored Trolls on Twitter
Published 2020“…We have proposed a set of behavioral features of users' activities on Twitter. Based on these features, we developed four classification models to identify political troll accounts, these models are based on decision tree, random forest, Adaboost, and gradient boost algorithms. …”
-
172
Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers
Published 2023“…The OSF detection and localization algorithm is implemented based on the dynamic response difference between the physical system and its DT. …”
-
173
Utilization of AI to Predict Shear Strength Parameters of Soil Based on Their Physical Properties
Published 2025Get full text
doctoralThesis -
174
Modulation With Metaheuristic Approach for Cascaded-MPUC49 Asymmetrical Inverter With Boosted Output
Published 2020“…For the calculation of optimum angles, a meta-heuristic based Genetic Algorithm (GA) technique is employed. …”
-
175
-
176
Boosting the visibility of services in microservice architecture
Published 2023“…In this research, we evaluate the performance of several classification algorithms for estimating the quality of microservices using the QWS dataset containing traffic data of 2505 microservices. …”
-
177
-
178
Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review
Published 2023“…Data extracted from the included studies were synthesized narratively. …”
-
179
A hybrid cryptosystem based on WEP for 802.11 networks. (c2006)
Published 2006Get full text
Get full text
masterThesis -
180
Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn...
Published 2020“…A special consideration was given to data pre-processing and dimensionality reduction such Chi Squared (CS) and Recursive Feature Elimination (RFE) to improve progressively the proposed models performance. …”
Get full text