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1926 articles for “CLA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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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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Color and Texture Features Based Object Recognition Using Machine Learning Methods
Abstract: Object recognition in images is a simple task for human but it is a complex and challenging task for machines due to different factors such as occlusion, lightening, object size, scaling etc. A Robust and automatic image processing system is thus critically required to make such a sampling approach practical. In this paper, we propose a method for classification of objects in images by incorporating global descriptors of the image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 1–11 Read article
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Performance Analysis of Cuckoo Search Algorithm for Feature Selection of Seeds
Abstract: A reduced number of features are achieved using cuckoo search algorithm. The accuracy has significantly increased even though the number of selected features has drastically reduced. The classification of paddy varieties is done using the selected features. The number of features has been reduced by fifty percent. The main goal was to use a bio-inspired algorithm for feature selection and this is done using the cuckoo search algorithm. The classification …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 71–78 Read article
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Human Behavior Monitoring, Characteristics and Prediction of Bipolar Disorder using Mobile Computation
Abstract: Generally, to Bipolar Qualification (BD), the recuperation moves have made intrigued within the concept of self-recovery. The reason of this ponder was to investigate the individual restoration in DB with a progressed demonstrate, which investigated how numerous stages were connected to different psychosocial and psychiatric profiles. There are increasing proves that engine movement is the finest pointer for bipolar clutter. Motor action comprises a number of areas, such as body …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 1, 2020 · pp. 16–22 Read article
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Online Content based Approach of Network Extraction for Finding Weight, Size and Features
Abstract: In an online community, moderating the content created by users is a great challenge. Nevertheless, this paper is very costly to man-made workers. To end this, an automatic machine can arouse great interest to identify breaches of user content. Some ways to solve this problem, but word filtering or regular expression matches are most often seen in practice. The key drawbacks are their insecurity and their context-insensitive existence deliberately concealed …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 1, 2020 · pp. 23–30 Read article
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Diagnosis of Breast Cancer by Image Processing and Acquisition
Abstract: Abstract— Cancer is one of the deadliest disease in the current world and among breast cancer is found about 24%-28% among all the reported cases. In this paper development of CAD systems is discussed which reduces human interference and increases preciseness in the diagnosis of breast cancer. Mammography is a technique widely followed by radiologists for the detection and diagnosis of tumors. Introduction of digital imaging helped in acquiring high …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 30–36 Read article
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Digital Transactions System
Abstract: In this paper, a cryptographic application is presented as Digital Transaction System (DTS). DTS requires the high level security protocol. There are various attacks considered successfully on DTS. The claim of the security of DTS holds the short time. Thus, it requires updating frequently. The single hardness of the problem is not enough but the compact problem is recommended to design such DTS. This work is based on the study …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 2, 2020 · pp. 18–24 Read article
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Quality Inspection, Maturity Detection, and Size based Grading of Various Types of Mangoes using Machine Learning Methods
Abstract: Mango is the most significant and flavorsome fruit in most continents, especially in Asia. Mango grading is an important task in agro-industry. The grading process creates many problems during harvesting for mango growers. The manual grading process is performed by visual inspection and it is very time consuming and labor intensive. Due to different market prices and different market demand, automation in mango grading plays an important role to achieve …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 18–31 Read article
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An Evaluation of Sentiment Analysis in Online Reviews using FRN Algorithm
Abstract: The internet is rich in directional text (i.e., text containing opinions and emotions). World Wide Web provides volumes of text-based data about consumer preferences, stored in online review websites, web forums, blogs, etc. Sentiment analysis is a technique to classify people’s opinions in product reviews, blogs or social networks and has emerged as a method for mining opinions from such text archives. It uses machine learning methods combined with linguistic …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 1, 2014 · pp. 14–20 Read article
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An Overview of Operating System
Abstract: AbstractThis paper clarifies what working frameworks are, their main events, and how they are composed and built. Paper additionally clarifies what the regular elements of a working framework are, what a working framework accomplishes for the client, and what it accomplishes for the PC framework administrator. The paper additionally tells about different sorts of working frameworks. Keywords: RAM, GPRs, CPU, PSW, DMA, I/OCite this ArticlePriyanka Sengar. An Overview of Operating …
Published in Journal of Operating Systems Development & Trends · Vol. 3, Issue 3, 2016 · pp. 15–18 Read article
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A Comparative Study on Detection of Different Disease Using KNN
Abstract: Nowadays many approaches are made to detect or predict any disease in human body using different data mining techniques. This paper is an approach to study K-nearest neighbor (KNN) classification technique used in different disease prediction. Nowadays number of diseases are needed to be classified and are threat to the human life. Here KNN approach on disease are tuberculosis, heart disease, diabetes, chronic renal failure, neuromuscular disease and brain MRI …
Published in Journal of Open Source Developments · Vol. 5, Issue 3, 2018 · pp. 11–16 Read article
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Facial Expression Recognition Using Convolutional Neural Network
Abstract: The recognition of facial expression is a key step in nonverbal human communication in the field of computer vision. The Facial Expression Recognition (FER) system reflects emotions as well as mental activities, social interaction with people and expressing positive or negative attitude in general. It has many applications like human machine interaction, understanding human behavior and emotions, mental state identification, drowsiness detection for driving safety and health care. One of …
Published in Journal of Open Source Developments · Vol. 6, Issue 1, 2019 · pp. 18–27 Read article
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An Approach to Recognizing Numerals and Alphabets Signs for Impaired People
Abstract: Abstract: Sign Language is the language used by deaf and dumb people for communication in their day to day life. Every nation has its own sign language. Indian people use Indian Sign Language. Generally, other sign languages such as ASL (American Sign Language) and BSL (British Sign Language) are single-handed sign language while ISL is the language which uses both hands to make signs. So, it is difficult to exactly …
Published in Journal of Open Source Developments · Vol. 6, Issue 3, 2019 · pp. 1–7 Read article
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Discrete Logarithm and Cryptosystem
Abstract: We formulate a new DLP and designed a PKC. Our ProposedDiscrete Logarithm Problem (PDLP) is distinct from the Traditional Discrete Logarithm Problem (TDLP), which is proved in this paper. We use this PDLP for design a PKC. Our claim that, this PKC is more secure than the previous PKC’s, because a one reason is enough in support of this statement that, the PDLP is more complex problem because the computation …
Published in Journal of Open Source Developments · Vol. 7, Issue 2, 2020 · pp. 15–17 Read article
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A Review of Code Defect Likelihood Using ML Methods
Abstract: AbstractSoftware begets defects and defects are inevitable in software design and coding. This paper focused on five machine learning analysis models (MLAM); Support Vector Machine, Random Forest, K-Nearest Neighbor, Classification and Regression Tree, and Linear Discriminant Analysis. These models are trained to detect software defects using the software defect dataset from Promise data repository. The collected dataset is preprocessed to reduce the amount of redundant features using a dimension reduction …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 1–6 Read article
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Real-time Malicious URL Detection Using Machine Learning
Abstract: In malicious URLs (universal resource locators)discovery, antiquated classifiers are tested because of the information volume is enormous, designs are dynamical over the long haul, and furthermore the relationships among choices are modern. Feature engineering plays a crucial role in addressing these issues. To raised representation, the underlying the drawback and improve the performances of classifiers in characteristic malicious URLs.This paper proposes a mixture of linear and non-linear house transformation strategies. …
Published in Journal of Web Engineering & Technology · Vol. 8, Issue 1, 2021 · pp. 8–13 Read article
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Advanced Computable Extension of New Fractional Kinetic Equation
Abstract: AbstractThe aim of this work is to find advanced computable extension of kinetic equation with fractional calculus approach. Fractional calculus originated in 1695, shortly after the inversion of classical calculus. The pioneer researchers who studied it were Liouville, Riemann, Leibniz, etc. For a long time, fractional calculus has been regarded as a pure mathematical area without applications. But, in recent decades, such type of synergism has been changed. It has …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 4, Issue 3, 2017 · pp. 74–80 Read article
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Survey Paper on Image Defogging Using Various Techniques
Abstract: Because of the adverse climate conditions like the nearness fog or heavy rain, digital images are effectively subjected to a wide assortment of disturbance amid acquisition, which may decrease visual impact and influence post-handling of the image. Images corrupted by mist fog adversely the nature of vision-based physical security framework. Writing review is an imperative for comprehension and increasing significantly more learning about the particular zone of a subject. The …
Published in Recent Trends in Parallel Computing · Vol. 5, Issue 1, 2018 · pp. 20–26 Read article
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Stock Price Prediction Using Data Science Techniques
Abstract: This study centers around persuasively presenting the potential to forecast the stability of future market stocks. Previous research has delved into predicting the trajectory of future market trends, leading to fluctuations in stock data, which opens avenues for refinement. The proposed model employs data science methodologies to predict the stock price index's value. This is achieved by contrasting supervised classification data science learning algorithms that predict either stock price increases …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 33–41 Read article
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Pre-processing of Social Media Posts
Abstract: Social media has become a slogan in emotion and sentiment analysis. In today’s era Social media networking sites are almost used by everyone. Social media users share their feelings, thoughts, and experiences with other people by short messages. Short messages are composed of emoticons, slangs, noises, irrelevancies and words. Thus, preprocessing becomes the challenging task for Sentiment analysis. This experiment is performed to evaluate the impact of pre-processing on social …
Published in Recent Trends in Programming languages · Vol. 5, Issue 1, 2018 · pp. 14–18 Read article