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1981 articles for “A* algorithm” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Superpixel Segmentation using DBSCAN Clustering Algorithm
Abstract: AbstractSuperpixel division strategies are generally utilized as a pre-preparing venture to accelerate picture handling tasks. They assemble the pixels of a picture into homogeneous locales while attempting to regard existing shapes. In this paper, we propose a quick superpixels division calculation with contour adherence utilizing the density based spatial clustering of applications with noise (DBSCAN) algorithm. We implement a two-stage processing to decrease the computational costs of superpixel algorithms. First …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 26–36 Read article
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A New Evaluation Index for Application of Machine Learning Algorithms to Determine Trust in Skewed Social Media Data
Abstract: In this paper we study the problem of accuracy paradox which arises on the application of machine learning algorithms for inference of trust in skewed social media data. Skewness is defined as the under representation of one class over another in a binary classification problem. We achieved our purpose of identifying the accuracy paradox problem in various algorithms by identifying a new evaluation index called predictive index. The dataset used …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 49–57 Read article
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Decode Human Immune System for Blood Disease Detection using Machine Learning Algorithms
Abstract: Quick and accurate medical diagnosis are crucial for the successful treatment of diseases. Using machine learning algorithm and based on laboratory blood test result, we have built a model to predict hematology diseases. It is a predictive model which uses various symptoms causing the disease and a few blood parameters to detect the disease. Blood analysis is an essential indicator for many diseases. It contains several parameters which are sign …
Published in Journal of Advancements in Robotics · Vol. 7, Issue 2, 2020 · pp. 9–14 Read article
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Performance Comparison between Back-Propagation Learning and Kohonen Self-Organizing Neural Networks Algorithm in Terms of Pattern Recognition
Abstract: Pattern recognition using back-propagation learning and Kohonen self-organizing neural network algorithms has been developed and measured various performance based on different criteria and environment of the pattern. These pattern recognition systems have taken the object image as input. In image pre-processing stage, scaling and clipping process has been applied from the background image to avoid unnecessary portion of the object image. Feature extraction has been performed after applying filtering and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 1–8 Read article
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Speeding Up Human Operability and Multi-Tasking Through Mobile Evolutionary Algorithm for Evasive Interactive GUIs of Semantic Desktop Application
Abstract: In this paper, we introduced an algorithm for new optimized method of interacting with Graphical User Interfaces (GUIs) which adds swiftness and evolve with the human operability thus, reducing the number of parameters from the edified Multi-task work process. We validate our algorithm based on the accountable general consensus and confidence data extracted through a number of user's work experience on our interactive GUIs; demonstrating that our algorithm adapts with …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 2, 2014 · pp. 8–11 Read article
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Face Recognition using Genetic Algorithm with Self-Organizing Mapping based Dimensionality Reduction Technique
Abstract: The contribution of this work is to develop a face recognition technique where Genetic Algorithm has been used. Here facial features are extracted using Active Appearance Model (AAM) and Kohonen Self-Organizing Mapping (SOM) technique has applied to reduce the dimension of the extracted features. Efficient image pre-processing techniques are used to prepare the face for the proposed system. Finally, Genetic Algorithm has been used to classify the facial features. In …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 1, 2015 · pp. 22–26 Read article
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Comparative Analysis of Proposed FCM Clustering Integrated Enhanced Firefly-Optimized Algorithm (En-FAOFCM) for MR Image Segmentation and Performance Evaluation
Abstract: Image segmentation has a significant responsibility in diagnosis and treatment of diseases. To scan patients and determine the severity of certain injuries in hospitals, magnetic resonance imaging (MRI) method is normally used. This paper emphasizes on comparative study of segmentation techniques for segmenting MRI brain images. In this regard, to group the pixels of images in the intensity space, unsupervised clustering techniques are used. Here enhanced firefly algorithm is used …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 32–44 Read article
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Colour Based Segmentation of a Landsat Image Using K-Means Clustering Algorithm
Abstract: AbstractImage segmentation is one of the typical vintage subjects in image processing and it acts as a bulls-eye of the image processing technique. By definition, image segmentation means identifying the similar regions in the image; or in other words, identifying the homogenous pixels in the image and grouping all these pixels based on the homogeneity condition considered. This homogeneity condition can be like, colour, texture, size, compactness etc. It is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 31–38 Read article
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Hybrid Scheduling Algorithm Based for the Effective Utilization of CPU
Abstract: Central Processing Unit is the part of a computer system that is responsible for executing the processes. CPU works according to the specified scheduling algorithm. The CPU scheduling algorithm directs the CPU when to switch over another process in the queue. Scheduling algorithm is an important part of every operating system. In this research paper a hybrid scheduling algorithm has been proposed for the effective utilization of CPU that is …
Published in Journal of Operating Systems Development & Trends · Vol. 3, Issue 1, 2016 · pp. 1–6 Read article
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A Survey on Different Clustering Algorithms with Their Major Features
Abstract: Data mining techniques make it possible to search large amounts of data for characteristic rules and patterns. Clustering is used to organize data for efficient retrieval. The aim is to create homogeneous subgroups of examples. The individuals in the same subgroup are similar; the individuals in different subgroups are as different as possible. One of the problems in clustering is the identification of clusters in given data. A popular technique …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 3, 2014 · pp. 19–24 Read article
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A Novel Priority Based Task Scheduling Algorithm for the Cloud Integrated Sensor Network
Abstract: Load balancing and resource provisioning is the primary and challenging issue in Cloud computing. Client’s requests submitted in the Cloud environment will compete for the available resources in order to complete their execution in best possible minimum time. Many algorithms were advised to provide efficient mechanism for conveying the client's requests to available Cloud resources. The aim of this project is to provide comprehensive overview of the existing load balancing …
Published in Journal of Operating Systems Development & Trends · Vol. 5, Issue 2, 2018 · pp. 13–17 Read article
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Review on Weather Events Forecasting Using Data Mining Algorithms
Abstract: Weather events forecasting is the most imperious and stimulatingfunctioning responsibilities supported by meteorological departments worldwide. Amongst all weather events, rainfall plays the most authoritative role in the life of human beings. Human society to a great level depends upon its frequency at various scales. Data mining is a process that mechanically abstracts useful patterns from a given data set. Thecommon algorithms and techniques for rain forecasting like Artificial Neural Networks …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 1, 2018 · pp. 12–22 Read article
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A correlative contemplation of CPU Utilization of assorted scheduling algorithms
Abstract: Grid communication consists of many communication technologies and mediums and main concern of grid communication is performance evaluation. The main work of this study is to make a model for grid communication framework that calculate the CPU utilization of each computer, by applying different algorithms such as first come first serve (FCFS), shortest job first (SJF), priority algorithm and round robin (RR) and compare and contrast the CPU utilization of …
Published in Journal of Operating Systems Development & Trends · Vol. 5, Issue 3, 2018 · pp. 1–5 Read article
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Security Attacks and Algorithms
Abstract: The security attacks are the common problems in the data transfer. And various algorithms are available for countering these attacks. This study reviews the attacks and algorithms for the security purpose.Keywords: Secure attacks, grid authentication security algorithms, security primitivesCite this ArticleManish Kumar Rewadia, Anil Kumar Sharma. Security Attacks and Algorithms. Journal of Software Engineering Tools & Technology Trends. 2018; 5(3): 22–25p.
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 3, 2018 · pp. 22–25 Read article
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Support Vector Machine Based Supervised Machine Learning Algorithm for Finding ROC and LDA Region
Abstract: Breast Cancer is one of the most dangerous forms of conditions in the world, according to the Breast Cancer Institute (BCI). Breast cancer is a leading cause of death for women. Several empirical studies have explored the use of machine and predictive systems for breast cancer. Breast cancer can be the major cause of women’s death. Many claim their algorithms are faster, easier or more precise, as according to cancer. …
Published in Journal of Operating Systems Development & Trends · Vol. 7, Issue 1, 2020 · pp. 26–33 Read article
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Academic Performance Management Algorithm
Abstract: An application of Genetic Algorithm (GA) is presented in this paper to manage the academic performance of the students. This will be an important tool to apply in any academic institute for improving the performance of their students. There is an algorithm for fitting to the feedback form of the students after completion of any academic modules. This is analyzed over the correspondence of personal interview. In this paper, GA …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 2, 2020 · pp. 1–4 Read article
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Parallelizing Apriori Algorithm using Open MP
Abstract: An Association rule mining used for finding frequent item sets thus generating rules from the frequent item sets. Finding frequent itemsets is more expensive in terms of CPU power and computing resources utilization. Apriori Algorithm is used for high dimensionality on massively large data sets. Parallelism reduces the time required for serial processing. Parallel computing can be applied for mining of association rules. Parallel apriori algorithm focus on parallelizing the …
Published in Recent Trends in Parallel Computing · Vol. 1, Issue 1, 2014 · pp. 1–5 Read article
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Edge Split Mapping Parallel Algorithm for Tetrahedral Mesh Refinement on Distributed Memory Systems
Abstract: In this paper we have described a parallel mesh refining algorithm based on edge split mapping parallel algorithm for on a distributed memory system; that aids the user in auto-managing the assignment of processor workload and subdivision of the 3d-mesh. We discussed the design and performance of the algorithm which speeds up the processing of the instructions over a multi-core processor.Keywords: Parallel algorithm, Distributed memory, Mesh Refinement
Published in Recent Trends in Parallel Computing · Vol. 1, Issue 2, 2014 · pp. 15–18 Read article
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Multiple Sequence Alignment Algorithms for a Protein Structure for a Biological Data using Dynamic Programming Method
Abstract: Many algorithms use dynamic programming to align two sequences. In this paper a new algorithm is proposed to perform multiple Sequence alignment. This algorithm is developed by taking the inspiration of dynamic programming and is implemented on protein structures of any length. It uses particle swarm optimization (PSO) techniques to get the best alignment. The proposed approach tries to improve the sequence alignment obtained by Needleman Wunsch algorithm.
Published in Recent Trends in Programming languages · Vol. 1, Issue 1, 2014 · pp. 4–10 Read article
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A Parallel Online Learning Algorithm for Anisotropic Digital Image Restoration
Abstract: Previously, in the computational scenarios where the training data has already been made available for the learning algorithm, the kernel based algorithm such as support vector machines have made significant advances in the machine learning field. Though there has been little advancement made in learning scenario at online settings to facilitate the various real-time applications at the user end. In this study we discussed the issues with the online learning …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 21–26 Read article