Search Results - (((( patterns among algorithm ) OR ( pattern based algorithm ))) OR ( between working algorithm ))
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Identifying melanoma characteristics using directional imaging algorithm and convolutional neural network on dermoscopic images / Mohammad Asaduzzaman Rasel
Published 2024“…Several imaging, computer vision, and pattern recognition algorithms are employed to describe five dermoscopic features. …”
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2
An expanded square pattern technique in swarm of quadcopters for exploration algorithm
Published 2017“…We simulate the swarm-based exploration algorithm with expanded square pattern using a VREP simulator. …”
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3
Low Complexity Error Correction in Low Density Parity Check (LDPC) Code Decoder and Encoder for Decode and Forward Cooperative Wireless Communication
Published 2021“…The limitation of the available works on min-sum based LDPC code decoding algorithm specifically for DF protocol relay system motivated this research. …”
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4
Application of machine learning and artificial intelligence in detecting SQL injection attacks
Published 2024“…Datasets of well-known SQL injection attack patterns and AI/ML models intended for cybersecurity anomaly detection are among the resources underexplored, these findings show the potential for boosting detection capabilities by deploying ML and AI-based security solutions, with some algorithms scoring up to an 80 percent success rate in identifying SQL injections. …”
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New global maximum power point tracking and modular voltage equalizer topology for partially shaded photovoltaic system / Immad Shams
Published 2022“…In terms of controller-based, in this work, a new global maximum power point tracking (GMPPT) algorithm based on a modified butterfly optimization algorithm (MBOA) has been proposed. …”
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6
Using unique-prime-factorization theorem to mine frequent patterns without generating tree
Published 2011“…Our algorithm works based on prime factorization and is called Prime Factor Miner (PFM). …”
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Clustering of large time-series datasets using a multi-step approach / Saeed Reza Aghabozorgi Sahaf Yazdi
Published 2013“…Clustering such complex data can discover patterns which have valuable information. Time-series clustering is not only useful as an exploratory technique but also as a subroutine in more complex data mining algorithms. …”
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8
Game theoretic approach for exhaustive tactical modelling of node misbehavior in adhoc networking based IOT paradigm/P-RIGS18-020-0020
Published 2019“…The framework tries to effectively represent the various unpredictable actions of node cooperation, node declination, node attacks as well as node reporting that can model the strategic profiling of various mobile nodes. Understanding the patterns and then deploying the algorithms in security products can reduce intrusion to a greater extent. …”
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Monograph -
9
Toward heterogeneous computing to facilitate sequential OLAP real-time applications
Published 2016“…The optimized algorithm is dedicated to detect patterns over parallel data streams in Real-Time. …”
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Proceeding Paper -
10
Composing multi-relations association rules from crowdsourcing remuneration data
Published 2022“…The data comprise a lot of redundancies, therefore an apriori algorithm is used to normalise it by removing redundancies and then extracting significant patterns. …”
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A framework for classification software security using common vulnerabilities and exposures
Published 2018“…The main research aim is to investigate what information is necessary to make a formal vulnerability pattern representation.This is done through the usage of formal Backus-Naur-Form syntax for the execution and presented with newly created vulnerability flow diagram.Some future works were also proposed to further enhance the elements in the secured soft-ware process framework.This thesis focuses on the research and development of the design, formalization and translation of the vulnerability classification pattern through a framework using common vulnerabilities and exposures data.To achieve this aim, the following work was carried out.First step is to create and conceptualized necessary meta-process.Second step is to specify the relationship between the classifiers and vulnerability classification pat-terns. …”
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13
Analysis of K-Mean and X-Mean Clustering Algorithms Using Ontology-Based Dataset Filtering
Published 2021“…In the field of computer science, data mining facilitates the extraction of useful knowledge and patterns from a huge amount of data. Various techniques exist in the data mining domain to explore the links, associations, and patterns from data in data warehouses. …”
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Swarm negative selection algorithm for electroencephalogram signals classification
Published 2009“…The SNS classification model use negative selection and PSO algorithms to form a set of memory Artificial Lymphocytes (ALCs) that have the ability to distinguish between normal and epileptic EEG patterns. …”
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15
Sistem Pengecaman Bentuk Berdasarkan FPGA
Published 2005“…It is always can be an application to whatever course and now have been used widely among the people. Hence, a pattern recognition system by an array of chemical sensor application will be developing based on FPGA. …”
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Monograph -
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Evaluation of fall detection classification approaches
Published 2012“…This paper presents the comparison of different machine learning classification algorithms using Waikato Environment for Knowledge Analysis (WEKA) platform for classifying falling patterns from ADL patterns. …”
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Conference or Workshop Item -
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Fsm-Based Enhanced March C- Algorithm For Memory Built-In Self-Test
Published 2017“…Through the analysis of the fault patterns and other algorithm, it was found that multiple read operation within a single MARCH element from MARCH-NU algorithm can aid in the identification of the Read Destructive Fault whereas having HOLD time in the MARCH 9N algorithm would expose the Data Retention Fault. …”
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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud
Published 2023“…Practical implications In terms of managerial implications, the findings in this research help to frame the adoption of a more advanced analytical approach to forecasting, using a Machine Learning algorithm, in solving a newsvendor problem. The unpredictability of customers’ purchasing patterns postpandemic has rendered heuristic-based forecasting large forecast errors. …”
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Book Section -
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New perturb and observe algorithm based on trapezoidal rule: uniform and partial shading conditions
Published 2022“…The proposed Trapezoidal rule based P&O algorithm is evaluated under three conditions: (1) under uniform irradiance (2) under shading conditions and (3) under sudden and step changes in irradiation levels as well as the transition between shading patterns. …”
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Article -
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Improved flower pollination optimization algorithm based on swap operator and dynamic switch probability selection
Published 2023“…Furthermore, it is hybridized with the Pattern Search algorithm to ensure the optimality of the solution. …”
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Thesis
