Search alternatives:
lacking algorithm » learning algorithms (Expand Search)
deer algorithm » search algorithm (Expand Search)
developing rd » developing a (Expand Search), developing _ (Expand Search)
elements deer » elementi per (Expand Search)
rd algorithm » _ algorithms (Expand Search)
lacking algorithm » learning algorithms (Expand Search)
deer algorithm » search algorithm (Expand Search)
developing rd » developing a (Expand Search), developing _ (Expand Search)
elements deer » elementi per (Expand Search)
rd algorithm » _ algorithms (Expand Search)
-
1
Application of Red Deer Algorithm in Optimizing Complex functions
Published 2021“…The Red Deer algorithm (RDA), a recently developed population-based meta-heuristic algorithm, is examined in this paper with the optimization task of complex functions. …”
Get full text
Get full text
-
2
Variable Selection in Data Analysis: A Synthetic Data Toolkit
Published 2024“…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …”
Get full text
article -
3
General applicability of genetic and simulated annealing algorithms for data mapping
Published 1995“…We experimentally analyze the general applicability of genetic algorithms (GA) and simulated annealing algorithms (SA) for mapping data to multicomputers. …”
Get full text
Get full text
Get full text
conferenceObject -
4
Properties of simulated annealing and genetic algorithms for mapping data to multicomputers
Published 1997“…We experimentally analyze some properties of simulated annealing algorithms (SA) and genetic algorithms (GA) for mapping data to multicomputers. …”
Get full text
Get full text
Get full text
article -
5
Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017)
Published 2017Get full text
Get full text
Get full text
masterThesis -
6
-
7
-
8
An ant colony optimization algorithm to improve software quality prediction models
Published 2011“…However, building accurate prediction models is hard due to the lack of data in the domain of software engineering. …”
Get full text
Get full text
Get full text
article -
9
Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
Published 2024Get full text
doctoralThesis -
10
Sentiment analysis for Arabizi in social media. (c2015)
Published 2015“…Yalla 7abibi, it is very useful to have a data mining tool that can analyze the sentiment of Twitter users in the Arab world. …”
Get full text
Get full text
masterThesis -
11
-
12
The use of multi-task learning in cybersecurity applications: a systematic literature review
Published 2024“…Cybersecurity has become vital in information technology, with data protection being a major priority. Despite government and corporate efforts, cybersecurity remains a significant concern. …”
-
13
Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation
Published 2023“…Additionally, a clustering algorithm with a fuzzy membership function is implemented, allowing the robots to advance in accordance with predefined clusters and arrive at their starting place within a predetermined amount of time. …”
-
14
Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV
Published 2013Get full text
doctoralThesis -
15
Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems
Published 2022“…Data-driven algorithms with capabilities to predict the system’s dynamic behavior still need to be developed. …”
-
16
A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation
Published 2023“…Also, to evaluate the robustness of the algorithms, we test the neural network, without retraining it, on multiple scenarios with noisier data and bad data. …”
Get full text
Get full text
Get full text
masterThesis -
17
An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study
Published 2024“…The data were distributed for training (35%), testing (35%), and validation (30%) of the prediction model.…”
-
18
Plant disease detection using drones in precision agriculture
Published 2023“…Color-infrared (CIR) images are the most preferred data used and field images are the main focus. The machine learning algorithm applied most is convolutional neural network (CNN). …”
-
19
Computer-aided detection of Melanoma using geometric features
Published 2017Get full text
Get full text
Get full text
Get full text
conferenceObject -
20
Video features with impact on user quality of experience
Published 2021Get full text
Get full text
Get full text
Get full text
conferenceObject