Search Results - (((evolutionary OR solution) algorithm) OR (((detection algorithm) OR (conversion algorithm))))
Search alternatives:
- conversion algorithm »
-
1
Development of computer aided three-dimensional geometric modeler based on designer's idea in twodimensional
Published 2006“…This study has proposed better solutions in terms of an enhanced thinning algorithm, a modified Freeman chain code and Vertex chain code algorithm as picture description language, and a new computational algorithm and neural network classifier for corner detection. …”
Get full text
Get full text
Monograph -
2
Backpropagation neural network based on local search strategy and enhanced multi-objective evolutionary algorithm for breast cancer diagnosis
Published 2019“…First, we enhance the famous multiobjective evolutionary algorithms, which is a non-dominated sorting genetic algorithm (NSGA-II). …”
Get full text
Get full text
Get full text
Article -
3
Optimization of energy management and conversion in the water systems based on evolutionary algorithms
Published 2019“…Furthermore, the average solution accomplished by WOA is very close to the global solution. …”
Get full text
Get full text
Article -
4
Adaptive glioblastoma detection using evolutionary-based algorithm / Nurul Amira Mohd Ali
Published 2020“…The objectives of the project are to design and develop a prototype of adaptive Glioblastoma detection using Evolutionary-based algorithm to assist in detecting brain tumor and also to test the prototype’s functionality and detection accuracy. …”
Get full text
Get full text
Thesis -
5
An efficient anomaly intrusion detection method with feature selection and evolutionary neural network
Published 2020“…This research designed an anomaly-based detection, by adopting the modified Cuckoo Search Algorithm (CSA), called Mutation Cuckoo Fuzzy (MCF) for feature selection and Evolutionary Neural Network (ENN) for classification. …”
Get full text
Get full text
Get full text
Article -
6
A Recent Research on Malware Detection Using Machine Learning Algorithm: Current Challenges and Future Works
Published 2023“…Barium compounds; Cybersecurity; Data mining; Decision trees; Evolutionary algorithms; K-means clustering; Learning algorithms; Malware; Network security; Sodium compounds; Support vector machines; 'current; Comparatives studies; Cyber security; K-means; Machine learning algorithms; Malware attacks; Malware detection; Metaheuristic; Recent researches; Systematic literature review; Nearest neighbor search…”
Conference Paper -
7
An evolutionary harmony search algorithm with dominant point detection for recognition-based segmentation of online Arabic text recognition
Published 2014“…At first, the pre-segmentation algorithm uses a modified dominant point detection algorithm to mark a minimal number of points which defines the text skeleton. …”
Get full text
Get full text
Article -
8
A review of machine learning in hyperspectral imaging for food safety
Published 2025“…In addition, a bibliometric analysis of ML algorithms was also conducted to understand the research trends in hyperspectral imaging and ML. …”
Get full text
Get full text
Get full text
Article -
9
Fault Detection Relevant, Neural Network and Evolutionary Algorithm based Model for a Single-shaft Industrial Gas Turbine
Published 2009“…In this paper the result of an attempt to develop a substitute nonlinear model based on multilayer neural network (MLNN) and evolutionary algorithm (EA) for a single-shaft gas turbine having IGVs and VSVs is presented. …”
Get full text
Conference or Workshop Item -
10
Metric's thresholds for encoding evolutionary computing representation in software engineering problem
Published 2015“…Algorithm was tested to metric selection problem using Genetic Algorithm and the results obtained are promising.…”
Get full text
Get full text
Get full text
Article -
11
An efficient anomaly intrusion detection method with evolutionary kernel neural network random weights
Published 2020“…One of the most efficient approaches used to secure the usage of the internet from internal and external intruders is Intrusion Detection System (IDS). Considering that using a combination of ANN and EA can produce an advanced technique to develop an efficient anomaly detection approach for IDS, several types of research have used ENN algorithms to detect the attacks. …”
Get full text
Get full text
Get full text
Article -
12
Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…Therefore, we propose a prominent approach that integrates each of the NN, a meta-heuristic based on an evolutionary genetic algorithm (GA), and a core online-offline clustering (Core). …”
Get full text
Get full text
Thesis -
13
Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm
Published 2020“…In the validation process, the results showed a superior finding compared to the firefly algorithm. It was able to detect more tags by 3%, and a reduced number of readers by 16.6%. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
14
Enhancing solid oxide fuel cell efficiency through advanced model identification using differential evolutionary mutation fennec fox algorithm
Published 2025“…This research introduces a novel approach for optimal SOFC model identification using a differential evolutionary mutation Fennec fox algorithm (DEMFFA). …”
Get full text
Get full text
Get full text
Get full text
Article -
15
A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.]
Published 2023Subjects: “…Evolutionary programming (Computer science). Genetic algorithms…”
Get full text
Get full text
Article -
16
Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani ... [et al.]
Published 2020Subjects: Get full text
Get full text
Get full text
Article -
17
Evolutionary cost cognizant regression test prioritization for object-oriented programs based on fault dependency
Published 2018“…Furthermore, they did not consider incorporating evolution process such as applying genetic algorithms to their technique. In this work, we proposed an evolutionary cost-cognizant regression testing approach that prioritizes test case according to the rate of severity detection of test cases connected with dependent faults using genetic algorithms. …”
Get full text
Get full text
Get full text
Article -
18
Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid.
Published 2010Subjects: Get full text
Get full text
Thesis -
19
Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation
Published 2018“…In this work, a hybrid support vector machine (SVM) with modified evolutionary particle swarm optimisation (EPSO) algorithm was proposed to determine the transformer fault type. …”
Get full text
Get full text
Article -
20
