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348 articles for “Algorithms”
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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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Improved Approaches of Image Forgery Detection using SURF and 4-level DWT
Abstract: ABSTRACT Today, there are various types of image tampering techniques, and copy-move forgery is one of them in which a piece of the picture is copied and pasted on another part of a picture. The study reviewed the several methods proposed to achieve this goal. This method generally uses both the feature point-based and the block-based algorithm. We use DWT (discrete wavelet transforms) for the decomposition of an image into …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 1–8 Read article
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Experimental Realization of Constrained Optimization of Sliding Mode Controller Parameters with Modified Objective Functions
Abstract: An appropriately tuning of Sliding Mode Control (SMC) can be used to overcome the weaknesses like sensitivity to parameter variations, modeling errors and external disturbances. In this research article, Non-Dominated Sorting Genetic Algorithm (NSGA-II) based SMC with modified objective function and the best weight values have been evaluated to improve the performance of closed-loop level control system. Equivalent weights and importance weights are assigned to each term of an objective …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 8–25 Read article
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Trends and Techniques of Software Cost and Performance Measurement
Abstract: Software measurement is an evolving aspect of software engineering providing the necessary support to plan, execute, control, and improve the software development process. However, Software metrics constitute a set of acceptable variables of measurement encompassing diverse activities that require some level of quantification of which cost, and effort estimation are inclusive. This study was aimed at reviewing the various trends and techniques in software cost and performance measurement. The study …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 6–12 Read article
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Image Processing and Restoration Through a Base Image – A Review
Abstract: ABSTRACTDigital imaging systems had been widely used for many applications including customer photography, microscopy, aerial images, astronomical imaging, and many others., their output photographs/movies frequently suffer from spatially various blur caused by lens, transmission medium, publish processing algorithms, and digicam/item motion. Measuring the amount of blur globally and regionally is a critical problem. it can assist us in getting rid of the spatially various blur and enhancing the visual of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 5, Issue 2, 2019 · pp. 1–8 Read article
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Image Processing and Restoration Through a Base Image Using Geometrical Transformation
Abstract: ABSTRACTThe imaging systems have wide use among number of applications, including commercial photography, microscopy, aerial photography, astronomical and space imaging, etc. Many a times the output images or a video suffers from blur due to lenses, transmission medium, algorithms or a camera/person motion. The amount of blur can be measured and it’s an important issue. Image processing and restoration is a technique to enhance the quality of an image or …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 12–28 Read article
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Image Denoising Based on Wavelet Transform Using Weighted Highpass Filtering Coefficient and Various Filters
Abstract: Abstract— Image denoising (ID) is a material issue found in various image processing (IP) for preservation of image quality and information. There are numerous technique of denoising image. The most necessary property of ID model is that it should completely reduce noise as much as possible and edge preservation. Various algorithm has been developed in past but still it has scope for enhancement. This paper gives a insight view of …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 3, Issue 2, 2017 · pp. 1–7 Read article
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Identification of significant parameters for the production of Jatropha biodiesel using preliminary experimentation
Abstract: The current research work is on Jatropha biodiesel for finding the significant parameters in optimum biodiesel yield. The one factor at a time approach is applied in the esterification. The trans-esterification reaction is used by mixing of Jatropha oil and ethanol in the presence of catalyst KOH. After some time two products are formed a Jatropha biodiesel and a glycerin. The density of glycerin is more as compared to biodiesel. …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 9, Issue 1, 2023 · pp. 1–7 Read article
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Predicting User Engagement on Social Media: A Comparative Study of Machine Learning-based Modeling Approaches
Abstract: Abstract Even while mobile social apps are becoming more and more important in people's daily lives, little is known about the elements that motivate users to interact with these apps. The goal of this work is to analyze and define the transition patterns of individual users' in-app actions as a temporally changing action graph. According to our investigation, action graphs are a useful tool for characterizing user behaviour patterns and …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 41–62 Read article
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Advancements in Predictive Maintenance: A Review of Data-Driven Approaches, Machine Learning, and AI in Diverse Industrial Landscapes
Abstract: The Internet of Things (IoT), the use of machine learning (ML), and artificial intelligence (AI)-driven advances in predictive maintenance are the key topics of this study. With the goal of offering a thorough grasp of existing approaches and potential future developments, it analyzes applications in predictive maintenance in many sectors. Predictive maintenance approaches are the major topic of discussion, with an emphasis on their advantages, disadvantages, difficulties, and prospects. Additionally, …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 19–32 Read article
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Consensus in a Multi-Agent System with Switching Topology
Abstract: This article explores the mathematical framework for developing consensus algorithms in multi-agent systems, using both fixed and switching communication graphs. Consensus refers to the agreement among agents achieved by sharing local information. Local interactions realize this global objective, a key issue in multi-agent control, also known as cooperative control. The consensus equation can be formulated in either continuous or discrete time domains. This article focuses on deriving the consensus equation …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 1–8 Read article
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Maculopathy Detection and Recommendation using Machine Learning
Abstract: Maculopathies, a diverse group of eye diseases affecting the central portion of the retina, the macula, are a leading cause of vision loss globally. Early detection and accurate diagnosis are critical for timely intervention and preventing irreversible vision loss. However, traditional methods such as manually detecting the disease are time-consuming, tiring, and often lack sensitivity and specificity, hindering optimal patient care. Here we delve into the applications of machine learning …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 10–16 Read article
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Estimation of Crop Yield Prediction Using Machine Learning Technique.
Abstract: Agriculture serves as the primary source of livelihood for a significant portion of India's population, but it faces a myriad of challenges, including climate variability, soil fertility issues, and reliance on traditional farming practices. To address these challenges, researchers are increasingly turning to machine learning (ML) methodologies to predict crop yields more accurately. Studies have delved into the effectiveness of various ML algorithms such as Random Forest, Gaussian Process Regression, …
Published in International Journal of Agrochemistry · Vol. 10, Issue 1, 2024 · pp. 7–12 Read article
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Predictive Farming Using Image Based Machine Learning
Abstract: Agriculture sector is considered as central pillar of Indian economics contributing approximately18% of total GDP employing almost 78% of rural population. Export of agro- based commodities hasincreased by 7-folds in past 1.5 decade. Therefore, it is necessary to uplift quality of agro-commoditiesproductions. Improving crop quality and quantity by sowing appropriate crop according to soil typeand weather condition become an hour’s need today. There are variety of soil series available in …
Published in International Journal of Agrochemistry · Vol. 7, Issue 1, 2021 · pp. 24–32 Read article
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Brain Tumor Detection using Machine Learning Methods-KNN, SVM, DT, RF
Abstract: Brain tumor is a major contributor to illness and death worldwide, and timely diagnosis is essential for successful treatment and improved outcomes Recent research has looked into the possibility of machine learning algorithms for detecting and classifying brain tumours in medical pictures. In this study, four commonly used machine learning algorithms (K-Nearest Neighbours, Decision Trees, Support Vector Machines, and Random Forests) were evaluated for their effectiveness in brain tumor detection. …
Published in International Journal of Chemical Engineering and Processing · Vol. 9, Issue 2, 2023 · pp. 48–59 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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Underwater Image Enhancement and Edge Detection
Abstract: A hybrid image enhancement and edge detection algorithm for underwater images is proposed in this paper. The proposed enhancement algorithm augments the image quality and suppresses noise in underwater images. The novel edge detection process is centered on the pixel phase information present in images, thereby leading to edge pixels that are illumination invariant. Since, illumination influences a major portion of information in underwater images, subjective analysis of the proposed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 11–21 Read article
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A Simple and Fast Skull Stripping Technique for Brain MR Images
Abstract: Skull stripping is an important aspect of study in the field of Medical image processing. It eliminates the present non-cerebral tissues from the MR image to improve the speed and accuracy of the algorithm. An unsupervised double segmentation based method has been proposed for faster processing. Threshold values required for double segmentation are obtained using the Otsu algorithm. This method avoids the conventional Morphological Opening and Morphological Closing operations to …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 1–4 Read article
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Analysis of Road Lane Detection Using Computer Vision
Abstract: Today’s technological advancement brings an opportunity to automate all the essential processes. Driving is one of the challenging tasks. The rapid growth of image processing technologies allows us to achieve an automatic driving system without human intervention. Numerous researchers are working on the development of algorithms for the automation of road lane detection during the self-driving car. This study presents an algorithm which can detect road lanes and the upcoming …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 7–14 Read article
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A survey- Congestion Evasion in MANETs
Abstract: The paper addresses the RED active queue management technique used in most of the networks for managing the queue efficiently. Secondly it proposed a Gaussian (G-RED) and modified Gaussian function based RED (MG-RED) algorithm. It is presented that the Gaussian and modified Gaussian function based RED algorithm outperforms the traditional RED algorithm in terms of throughput, packet delivery fraction and number of packets dropped
Published in International Journal of Broadband Cellular Communication · Vol. 2, Issue 2, 2016 · pp. 1–7 Read article