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1495 articles for “work”
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Video Coding with Packed Stream in Image Processing and Applications
Abstract: Scalable video coding is a technique which allows a compressed video stream to be decoded in several different ways. This ability allows a user to adaptively recover a specific version of a video depending on its own requirements. Video sequences have temporal, spatial and quality scalabilities. In this work we introduce a novel fully scalable video codec. It is based on a motion-compensated temporal filtering (MCTF) of the video sequences …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 36–44 Read article
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Blind Assistance System using Tensorflow
Abstract: Because of item recognition's cozy relationship with video investigation and picture understanding, it has drawn in much exploration consideration lately. Customary item discovery techniques are based on carefully assembled highlights and shallow teachable designs. Their exhibition effectively deteriorates by building complex outfits which join numerous low-level picture highlights with undeniable level setting from object finders and scene classifiers. With the fast improvement in profound learning, all the more amazing assets, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 6–12 Read article
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Deep Learning in Medical Image Classification and Object Detection: A Survey
Abstract: Deep learning methods have demonstrated superior performance in the area of computer vision, speech recognition, natural language processing, healthcare, and many more. Convolutional neural networks (CNNs) are a class of deep learning methods that have the ability to learn from raw data available as images, audio, or text. CNNs have become a powerful tool for variety of pattern recognition tasks due to the availability of abundant data and GPU-based training. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 1–15 Read article
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Classification and Detection of Cabbage Leaf Diseases from Images Using Deep Learning Methods
Abstract: The presented work uses Deep learning methods to detect diseases in cabbage leaves. To avoid a reduction in agricultural product yield, disease diagnosis in plants is crucial. Manual plant disease monitoring is challenging and time-consuming at every stage. Five major types of diseases are considered. Initially, the input images are classified as healthy and diseased. Further, the diseased images are classified into five different varieties. Early and precise biotic stress …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 23–32 Read article
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Using Image Feature Selection through Deep Salient Region Detection Using Canny Edge Detection Framework
Abstract: Salient object identification has received a lot of attention recently in computer vision because it offers quick solutions to several challenging procedures. It first identifies the scene's most prominent and attention-grabbing object, after which it segments the object's entire extent. The perception and processing of visual input is linked to visual saliency. This proposed work focuses on several convectional saliency detection methods that are useful in a variety of applications …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 8–21 Read article
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Fake News Detection Based on 3-HAN Architecture Using Deep Learning Techniques
Abstract: Fake news spreading is a common scenario we see nowadays in this modern era of social media and smart phones. According to the New York Times, fake news is described as “a made-up story with the intention of misleading, frequently with financial gain as the motive.” The problem is complex, given its varied interpretations across the globe. Hence, an effective system is needed to detect whether the given news is …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 21–31 Read article
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Research Methodology for the Development of Software Tool to Improve the Quality of Software Product using Fuzzy Quality Function Deployment
Abstract: The correct way towards the success of the development of software tool is to follow the acceptable methodology. The software developed according to the correct methodology will never tend to be failed. An elegant research methodology can help in achieving the desired goals related to the development of software in a most efficient way. It acts as a nerve centre between the researcher and its research work. To develop the …
Published in International Journal of Software Computing and Testing · Vol. 1, Issue 1, 2015 · pp. 9–13 Read article
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Seed Quality Analysis by Using Image Processing
Abstract: Globally, wheat is the principal source of vegetable protein in human food, having higher protein content than other major cereals like maize and rice. In terms of total production tonnages used for food, India is currently at second rank as the main human food crop. Determining the quality of wheat is critical. Specifying the characteristics of wheat manually needs an expert decision and is time consuming. Sometimes the variety of …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 52–59 Read article
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Agribot: An Agriculture Robot
Abstract: Agribot is a robot designed for agricultural purpose. As one of the trends of development on automation and intelligence of agricultural machinery in the 21st century, we are applying the idea of robotics technology in agriculture, since robotics technology is used in many of the fields such as defense, surveillance, medical field, industries and so on. In this paper, the robot system is used to develop the process of cultivating …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 14–17 Read article
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Continuous Mining Approaches with Obsolete Database: A Review
Abstract: The sequential pattern mining on progressive databases is very incipient approach, in which many researchers progressively discover the patterns in period of interest. Period of interest is a sliding window perpetually advancing as the time goes by. As the focus of sliding window changes, the incipient items are integrated to the dataset of interest and obsolete items are abstracted from it and become au courant. In general, the subsisting proposals …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 1, 2018 · pp. 1–9 Read article
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New Approach For Efficient Fuel Filling In Vehicles Using IOT
Abstract: Checking Systems are basic to track and comprehend the developments that happen in conditions. Remote viewing and information gathering structures are noteworthy and viable instruments to collect data from fuel aggregating tanks. The fuel association structure is Shows how the improvement is being mauled in the fuel stations. In fact the fuel stations are deluding open by blame looking at check for the fuel with the progression. This meander will …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 1, 2018 · pp. 30–38 Read article
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Software Testing for Mobile Computing: A Review
Abstract: We present a structure for testing applications for mobile computing devices. At the point when a device is moved into and appended to another system, the best possible working of utilization running on the device frequently relies upon the assets and administrations gave locally in the present system. This structure gives an application-level emulator to mobile computing devices to take care of this issue. Since the emulator is built as …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 2, 2018 · pp. 8–12 Read article
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Artificial Intelligence in Cyber Security
Abstract: Security isn't working. While security as a level of IT spend keeps on developing at a powerful rate, the expense of security breaks is becoming significantly quicker. Associations are spending near $100 billion on a bewildering cluster of security items. Truth be told, it isn't exceptional for CISO associations to have 30 to 40 security items in their condition. Be that as it may, in the event that you ask …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 1, 2019 · pp. 9–14 Read article
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PATrIoT: Precision Agriculture Through Internet of Things
Abstract: The paper report is on the design of the sensor network when connecting agriculture to the IoT. Reliability, management, interoperability, low-cost and commercialization are considered in the design. Finally, we share our experiences in both development and deployment. This paper developed the decision support system to forecast agricultural production using IoT sensors. This system was also a unified system that supports the processes sowing seeds through selling agricultural products to …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 2, 2019 · pp. 16–22 Read article
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The Use of Developed Computer Medical Process Manager “Medical Commander” for Application in Medical Practice
Abstract: ABSTRACTThe use of the computer in the medical clinical practice plays an important role for the effective diagnosis, treatment, and management of patients in hospitals. The use of a computer today in medical practice is limited to the creation of medical database management systems that take into account all the requirements of hospital and are capable of providing simple and efficient storage of information about patients who visit the hospital …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 2, 2020 · pp. 11–27 Read article
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A Roadmap for Cloud Computing for Higher Education
Abstract: ABSTRACTAdvancement of technology provides new opportunities for improving teaching and learning. The new technology provides opportunity individual to personalize the environment where they work. Here in this paper we try to explore the educational potential of cloud computing to exploit its affordability in teaching in context of higher education. Cloud computing has important place for higher education both as powerful platform and computing tool. Though cloud computing provide number of …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 2, 2020 · pp. 36–44 Read article
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For Analyzing Fraud in Credit Cards, Fuzzy Particle Swarm Optimization (FPSO) with Enhanced Support Vector Machine (ESVM) Classifier
Abstract: Credit cards are extremely significant in today’s economy. However, as the number of Credit Card clients grew, so did the number of Credit Card fraud instances. To fight the upward thrust in credit score card fraud, a number of techniques were recommended. In previous study, a unique fraud detection system was presented that uses similar cardholders’ behavioural patterns to construct a recent behavioural profile of a cardholder in order to …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 2, 2021 · pp. 1–12 Read article
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Mechanized Physiotherapy Device for Accident Victims
Abstract: Assistive robots are in high demand because they allow people to work freely. Physiotherapy is a outstanding recovery session given to mostly all accidental victims during recovery span. Although, due to the experimental nature of examination, assessment, and treatment, the lack of scientific measures, current methodologies, and modernization, as well as the empirical nature of examination, assessment, and treatment, this endeavour is hampered. This paper proposes an idea of using …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 2, 2021 · pp. 21–26 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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Fake News and Hate Speech Detection Using Deep Learning
Abstract: Due to the potential for such content to hurt both people and society as a whole, the issue of identifying fake news and hate speech on internet platforms has grown in importance in recent years. This problem has shown great potential for resolution through deep learning, a specific area of machine learning. In this research work, we examine recent studies on the application of deep learning methods for the identification …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 15–23 Read article