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2000 articles for “methods” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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DataBase: Food Waste Management
Abstract: Food waste management helps to prevent surplus amount of food wastages in the world. One third of the food produced in the world every year approximately 1.3 billion tones gets lost or wasted. The amount of food lost or wasted every year is equivalent to more than half of the world’s annual cereals crop. There are several steps to control food waste such as shop smart, buy exactly what you …
Published in International Journal of Distributed Computing and Technology · Vol. 3, Issue 1, 2017 · pp. 20–24 Read article
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Efficient and Enhanced Attribute-Based Encryption for Cloud Computing
Abstract: Cloud computing is a web-based computing that provides shared resources on demand. Resources utility can be increased or decreased as per demand. Cloud computing offers users to pay only for what they use and work load they use. Cloud computing mainly aims to cut down the cost by sharing the resources. Clouds are used in real time application like Google Email Communication, Google Docs, Microsoft Sky Drive and Amazon S3, …
Published in International Journal of Distributed Computing and Technology · Vol. 3, Issue 1, 2017 · pp. 5–8 Read article
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A Study on OpenMP and Irregular Programming
Abstract: Programmers need better, more reliable techniques to build parallel programs. In the task-parallel programming paradigm, the programmer defines independent pieces of work, called tasks that may run in parallel. Geometric algorithms are wonderful examples for programming, because they are deceptively easy to do with your eyes, yet much harder to implement for a machine. The goal of parallel algorithm design is to develop parallel computational methods that run very fast …
Published in International Journal of Distributed Computing and Technology · Vol. 4, Issue 1, 2018 · pp. 32–39 Read article
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Algorithmic Approaches for Data Mining and Machine Learning
Abstract: ABSTRACTTrends and technology always innovative and comes with some new. Sometimes technologies are introduces in more user friendly environment. In such version of technology advancement are also incorporated. Data mining is a best widespread knowledge attainment approach for knowledge discovery. The naval trends Machine learning also have a big interfere of data mining. Infect most of the data mining algorithm and methods are utilized for machine learning with minor amendment …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 2, 2020 · pp. 24–29 Read article
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A Review on Artificial Intelligence, Internet of Things and Wearable Technology for Smart Healthcare
Abstract: The healthcare industry is no longer an isolated area unaffected by technology advancements. Healthcare is driven by technology more than any other force, and it will continue to evolve in spectacular ways in the future. Artificial Intelligence, Internet of Things, Big Data, Cloud Computing, Smart Wearables, and other cutting-edge healthcare technologies have transformed traditional healthcare into smart healthcare. Technology has allowed us to keep a close eye on our health …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 1, 2021 · pp. 26–34 Read article
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Genre Classification of Music Using Machine Learning
Abstract: One of the most important technological advances of the 21st century is artificial intelligence (AI) and machine learning. They are revolutionizing computers, banking, healthcare, agriculture, music and travel. A strong model has mastered many difficult learning tasks. Speech analysis is one area of artificial intelligence. This includes finding information about music, creating music, and categorizing music. Music data is one of the most complex source data available today. This is …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 17–28 Read article
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Health Care System Analysis Using Different Datasets
Abstract: In this research work, we have discussed data science and various machine learning algorithms like KNN, Support Vector Machine, Artificial neural network, Random forest etc. and the results obtained from these algorithms which can be used for the prediction of heart disease, cancer and in many other fields of medical science. Requirement of data cleaning along with various methods of data cleaning are mentioned here, along with these various issues …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 29–37 Read article
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System for Predicting and Recommending Placement on Campus
Abstract: The campus placement system uses classification algorithms like decision trees, random forests, support vector classifiers, and logistic regression to estimate the likelihood that an undergraduate student will be hired by a business. The placement prediction method assists in identifying students’ needs and the areas in which they fall short, allowing students to strengthen their profiles and increase their chances of being placed. The placement predictor uses a number of parameters …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 18–25 Read article
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A Comprehensive Study of Application of Evolutionary Computing in Multi-stakeholder Recommendation Systems
Abstract: Recommender systems are customized data get to applications; they are universal in the present online condition, and compelling at finding things that address client issues and tastes. As the range of recommender systems has broadened, it has become clear that the resolute spotlight on the client regular to scholastic research has clouded other significant parts of suggestion results. Properties, for example, reasonableness, equalization, profitability, and correspondence are most certainly not …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 1–5 Read article
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A Comprehensive Survey on Optimizing Storage Models, Data Layouts, and System Catalogs
Abstract: This survey compares four papers that propose solutions for optimizing the storage model, data layout, and system catalogs in data management systems for hybrid workloads, which consist of both analytical and transactional queries. These solutions include a main memory hybrid storage engine that separates the storage of analytical and transactional data and uses a sophisticated query optimizer, a hands-free adaptive store that adjusts the storage layout based on access patterns, …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 1–8 Read article
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Data Analytics and Visualization for Unveiling Insights from Digital Twins: Trends and Challenges
Abstract: igital twins represent a paradigm shift in engineering analytics and simulations. As virtual replicas of physical assets and processes, digital twins require the confluence of massive amounts of data, predictive analytics, and visualization capabilities to unlock their full potential. This study provides a comprehensive overview of the role of data analytics and visualization techniques in extracting value from digital twin data. An in-depth literature review analyzes current research trends and …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article
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On Image Processing Using MATLAB: A Survey
Abstract: Abstract The digital image processing research has following attributes: Image Acquisition, Image Enhancement, Image Segmentation Feature Extraction and Classification. Each steps of digital image processing research has gone long way in developing the techniques, algorithms and methods. This paper will study the use of MATLAB in the steps of digital image processing research. Record each techniques and algorithms, discuss about the sequential timeline development of the algorithms. The performance of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 28–33 Read article
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Brain Waves can be used to Detect Potentially Harmful Personal Information
Abstract: A researcher is working to advance research to develop secure user authentication methods, by looking at using brain waves as individual identifiers. However, those brain waves can tell more about a person than just his or her identity, warns this expert.
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 6–9 Read article
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An Efficient Unconstrained Face Recognition System Based on Multi Metric Learning
Abstract: This paper is basically proposed for reconstruction-based metric learning method to learn distance metric for unconstrained face verification. As compare to other metric (only helps for label information and do not applicable for reconstruction based metric) this metric id advanced. This metric is used for multiple metric learning to remove irrelavent data for recognition.
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 14–18 Read article
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An New Approach For Image Steganography Using LSB and BPSO Optimization
Abstract: Abstract Presently, the technologies are evolving with high speed and everyday new innovations are done. As large amount of information shared between different users over the internet therefore the sharing of information is increasing day by day. In the conventional techniques of image steganography the idea of DCT and LSB approaches are used. But this technique is not optimum for securing the information. Thus, the BPSO optimization technique is proposed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 27–36 Read article
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Image Denoising Using IBP n Filter
Abstract: Abstract The ultrasound images are blurred by the multiplicative noise that is the Speckle pattern. It decreases the contrast and resolution of ultrasound images those outcomes in weak interpretation of image characteristics. In several image processing mechanisms like segmentation, classification and pattern recognition the speckle is a significant part. The conventional methods calculate the computation of LBP on gradient. The limitation of this technique was that the LBP mechanism divide …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 37–45 Read article
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Review on Medical Image Enhancement Techniques
Abstract: Abstract—Image enhancement is the process of improving visual quality of the image. In this paper, Image Processing Methods were implemented on CTA medical images for better understanding. LPFED with different kernels, GLTLPF, are the major techniques that were used to enhance images. The output results give more insights about the images and enhance the overall scope of finding more perceptions. Keywords: Medical Image, Image Enhancement, Filter, Gray Level, Edge, Computer …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 16–21 Read article
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Redundant Keypoint Elimination Using Redundancy Index on Basic SIFT Algorithm
Abstract: ABSTRACT Matching features across different images is a common problem in computer vision. For the images of different scales and rotations, there is the need of scale-invariant feature transform (SIFT). SIFT identifies the distinctive keypoints that are invariant to location, scale, rotation, robust to affine transformations (changes in scale, rotation, shear, and position) and changes in illumination, which are usable for object recognition. SIFT algorithm includes two main stages: feature …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 22–31 Read article
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Arduino Based Smart Automatic Ration Distribution System Using Fingerprint Sensor
Abstract: Today’s ration distribution system faces several challenges and plenty of problems like non legal importing and corruption of products happens in the ration distribution centers in India. These controversies embrace irregular activity of the products, wrong entries within the manual stock register. Alternative times the particular product provided by the government for the distribution does not reach the common people. In our project, we have got replaced the manual work …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 7–13 Read article
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Local Binary Patterns and Its Extended Variants
Abstract: ABSTRACTThis paper focuses on the Local Binary Patterns and its various important variants. LBP is a non-parametric descriptor and used to extract, analyze, recognize and classify the different modality images. It summarizes the local patterns of image characteristics efficiently. LBP and its many extended versions have been extensively used in numerous applications of computer vision, image processing, pattern recognition and biomedical field in recent years. Very discriminative and computationally efficient …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 13–25 Read article