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Metric's thresholds for encoding evolutionary computing representation in software engineering problem
Published 2015“…This paper presents metrics thresholds encoding algorithm as an alternative to replace human experts in developing problem representation. …”
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Extremal region detection and selection with fuzzy encoding for food recognition
Published 2019“…In the third algorithm, a soft assignment technique using fuzzy encoding is used to transform low-level features into a higher-level feature representation. …”
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A Micro-Genetic Algorithm Approach for Soft Constraint Satisfaction Problem in University Course Scheduling
Published 2013“…Thus, this study proposes an encoding chromosome representation using one-dimensional arrays to improve the Micro Genetic algorithm approach to soft constraint problems in the university course schedule. …”
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Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows
Published 2026“…During the feature extraction part, different machine-learning models are applied: Bidirectional Encoder Representations from Transformers (BERT) or Enhanced Representation through Knowledge Integration (ERNIE) for text; Convolutional Recurrent Neural Network (CRNN), and Bidirectional Long Short-Term Memory (Bi-LSTM) for audio; and Residual Neural Network (ResNet50) and Inflated 3D Convolutional Network (I3D) for video. …”
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Vehicle routing problem using genetic algorithm / Shamini Nagaratnam
Published 2006“…Although genetic algorithms have been used to solve the Vehicle Routing Problem this research aims to create different a way of chromosome representation and introduction of overlapping rate to determine the number of chromosome sent for crossover and mutation. …”
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Crossover and mutation operators of real coded genetic algorithms for global optimization problems
Published 2016“…The rationale behind developing algorithms using real encoding of chromosome representations is the limitations of binary encoding. …”
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Ensemble classification with modified SIFT descriptor for medical image modality
Published 2016“…The proposed image descriptor is an ensemble descriptor that combines the Harris Corner encoded by the SIFT algorithm fused with Local Binary Pattern. …”
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Feature detector-level fusion methods in food recognition
Published 2019“…Therefore, this paper investigates the methods to fuse multiple features extracted from food images. Specifically, three fusion methods have been evaluated namely descriptor-level fusion, representation-level fusion and score-level fusion. …”
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Sentiment analysis regarding childcare issues using Naive Bayes Algorithm / Alis Farhana Zulkipeli
Published 2025“…Future research could explore advanced techniques like Bidirectional Encoder Representations from Transformers (BERT) or Recurrent Neural Networks (RNNs) to improve classification accuracy and contextual understanding. …”
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10
Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms
Published 2016“…The latest effort to solve this selection problem is the development of the metrics selection model that uses genetic algorithm (GA). However, the process failed to state clearly the encoding strategy in its initial stage. …”
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The design and implementation of Malaysian indigenous herbs knowledge management system based on ontology model
Published 2016“…This paper introduces the design and implementation of an Ontology-Based Malaysian Herbal Knowledge Based System (MiHerbs).The ontology model used in this research is based on a previous research with title, ’Malaysia Indigenous Herbs Knowledge Representation’.The research proposed an Ontology based knowledge representation model of Malaysian indigenous herbs using Web Ontology Language (OWL).The model can be used to encode and store knowledge in a “Knowledge Base” such as database, repository or library. …”
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Imitation learning through self-exploration : from body-babbling to visuomotor association / Farhan Dawood
Published 2015“…Finally, after learning, the robot partner performs a similar action in front of the robot and the robot recalls the corresponding motor command from the memory. In the learning process the network first forms mapping from each motor representation onto visual representation from the self-exploratory perspective. …”
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Evolutionary genetic algorithm as a generative tools in identifying Malay, Chinese and Indian cultural product DNA / Izzuddinazwan Misri
Published 2015“…This thesis presents an inquiry into the hybrid cross-cultural features of 3 majority races in Malaysia such the Malay, Chinese, and Indian using optimization tools called Genetic Algorithm in order to achieve new design DNA. It includes product categorizing of 3 races which organized by adapting the cross-cultural features measurement from Lin. …”
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A genetic algorithm to minimise the maximum lateness on a single machine family scheduling problem
Published 2009“…In this study, we propose an Optimised Crossover Genetic Algorithm (OCGA) for the problem. The objective is to find a schedule which minimises the maximum lateness of the jobs in the presence of the sequence independent family setup times.In brief, the proposed OCGA uses binary representation to encode the problem. …”
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Modeling 2D appearance evolution for 3D object categorization
Published 2016“…We then learn CNN models on this novel shape representation for both RGB and depth which encode salient geometrical structure of the polygon. …”
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A stylometry approach for blind linguistic steganalysis model against translation-based steganography
Published 2023“…However, accuracy of blind steganalysis algorithms highly depend on the features selected from the input data especially when attacking embedding techniques in TBS. …”
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Authenticating sensitive diacritical texts using residual, data representation and pattern matching methods / Saqib Iqbal Hakak
Published 2018“…The second reason is the complexity of diacritics within DHQ and encoding scheme that decreases the authentication performance due to inefficient data representation and search/retrieval strategies. …”
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A review of knowledge graph embedding methods of TransE, TransH and TransR for missing links
Published 2023“…This encoding enables machine learning algorithms to effectively reason and make predictions on graph-structured data. …”
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