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2000 articles for “PE” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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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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Recognition and Detection of Content in Video Using OpenCV
Abstract: The emergence and continued reliance on the Internet and related technologies has resulted in massive amounts of data that can be analysed. Humans, on the other hand, do not have the cognitive abilities to comprehend such vast amounts of data. Machine learning (ML) is a mechanism that enables humans to process large amounts of data, gain insights into the data's behaviour, and make more informed decisions based on the analysis's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 42–47 Read article
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Skin Disease Detection Using Image Processing
Abstract: Skin issues incorporate a wide extent of indications and seriousness. They can be pleasant or unsavoury, and they can be momentary or constant. The skin is the human body's largest organ. Between 30 and 70% of people are influenced by the skin related issues. Skin-related health issues affect people all over the world, necessitating quick and effective resolution. As of late, computeraided demonstrative (CAD) innovations have been used to effectively …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 1, 2022 · pp. 1–7 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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Image Processing Invisibility Cloak: A Review
Abstract: We have seen invisible people in stories, but in the world, it is still not proven that invisibility exists. This review explains the invisibility of anything with the help of various technologies. On many commonplace commercial objects, you can find difficult patterns and backdrops. Such textual data may be presented in a variety of scales, fonts, colours, and orientations. The very basic operations are performed to process the frames, which …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 51–57 Read article
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WINDOWS 10
Abstract: Windows 10 was a big change for Microsoft’s traditional operating system. Windows 10 introduces what Microsoft described as a "universal" application architecture. Windows 10 is configured to send various information to Microsoft and other parties, including the collection of user contacts, calendar data, and "associated input data" to personalize "speech, typing, and inking input", typing and inking data to improve recognition, allowing apps to use a unique "advertising ID" for …
Published in International Journal of Software Computing and Testing · Vol. 2, Issue 1, 2016 · pp. 13–17 Read article
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Virtual Machine-Based Task Scheduling Algorithm
Abstract: Cloud computing is a type of internet-based computing that provides shared computer processing resources and other devices on demand. It is very useful for the applications which sharing their resource on different nodes and also cloud computing has more scalability. The performance and efficiency of cloud computing always depends on the performance of user tasks. Virtualization concept was introduced to improve the efficiency of cloud computing. Virtualization refers to creating …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 18–26 Read article
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INDISCRIMINATE BASED UNIT TESTING FOR AUTOMATED TEST STATEMENT PRODUCTION
Abstract: Random based mostly Testing is that the follow of victimization organisation for a few aspects of check computer file choice. During this system describe the unit check knowledge generator. Its 2 levels. The lower level could be a Random based mostly unit testing engine that tests a collection of ways in keeping with parameter values specific as genes in a very body, together with parameters that encrypt a worth utilize …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 1–5 Read article
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Cyber Crimes: Their Impacts & Solutions - A Review
Abstract: This paper distinguishes the significance of being familiar with the impacts of cyber crime remembering the ongoing exercises that have occurred and offering answers for shield oneself from it. In the present period of web based preparing, limit of the data is on the web and inclined to cyber attacks. There are countless cyber attacks and their conduct is hard to early seeing subsequently hard to limit in the early …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 2, 2020 · pp. 1–10 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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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
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A Comprehensive Analysis of Context-aware Recommender Systems Implemented Across a Range of Domains
Abstract: In many different fields, recommender systems are essential for helping users find pertinent and personalized material. Traditional recommender systems often underestimate the impact of contextual factors on user preferences. Context-aware recommender systems are a potential method that uses dynamic contextual data to increase recommendation accuracy and user satisfaction. This review paper examines the benefits of context-aware recommender systems in many fields and offers a detailed analysis of these systems. We …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article
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Unlocking the Potential: Machine Learning Driven Explainable AI Applications Across Diverse Domains
Abstract: Explainable artificial intelligence (XAI) aims to make discoveries and output generated by machine learning algorithms accessible to human users in a trustworthy and easy-to-understand manner. It describes the impact of an AI model and any potential biases, helping in characterizing models with accuracy, fairness, transparency, and outcomes in decision-making powered by AI. XAI focuses on understanding the data used to train the model, its predictions, the specific elements involved in …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 24–32 Read article
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A Combined Cycle Power Plant Using Graph Theory and Systems Modelling-Review
Abstract: Graph theory is a well-established tool for the analysis of any system. For the graph theory system has to be divided in to sub systems and factors have to be identified for the analysis. In the present work some of the attributes are identified for the application of graph theory. A proper identification of the attributes helps in precise evaluation of selection of combined cycle power plant systems. As the …
Published in International Journal of Analog Integrated Circuits · Vol. 1, Issue 2, 2015 · pp. 38–42 Read article
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Basic Electrical Power System Design Calculations of a Housing Unit
Abstract: Electricity is a necessity in human's daily activity. From simplest household to the more elaborate dwellings. Electricity is a basic need for human comfort. Basically, the electric circuitry in a house or building comprises the branch circuits, the feeders and the main. The National Electrical Code provides that the branch circuit that supplies current to lighting and convenience outlets shall be of ample size and rating to carry the ·expected …
Published in International Journal of Analog Integrated Circuits · Vol. 3, Issue 2, 2017 · pp. 20–24 Read article
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Algorithms Used for D-STATCOM to Achieve Compensation Current Detection
Abstract: Now a day’s power electronic based equipments are used in industrial and domestic purpose. Passive filter has been used traditionally for mitigating the distortion due to harmonic current in industrial power systems. But they have many drawbacks such as resonance problem, dependency of their performance on the system impedance etc. To overcome of such problem active power filters is introduced. It has no such drawbacks like passive filter. They inject …
Published in International Journal of Analog Integrated Circuits · Vol. 3, Issue 2, 2017 · pp. 7–19 Read article
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Plant Monitoring Wireless Communication using FPGA
Abstract: In this article, a new and productive methodology is introduced to estimate the performance of FPGA-based wireless communication system. FPGA devices perform faster and can be customized by user for real time application. Use of FPGA in plant monitoring system gives us lots of choices to solve complicated operations and real time applications too. The momentum and reconstruct ability of FPGA makes this possible. Going through the planning flow process …
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 1, 2019 · pp. 1–4 Read article
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A Complexity in Design of Cyber-Physical Systems: Context framework
Abstract: Cyber-bodily structures play a key role in a huge quantity of application domain names which include transportation, energy, health and nicely-being, manufacturing, and indeed as a part of clever infrastructures and towns—consequently now not best referring to business domain names. This paper makes a specialty of the complexity of destiny CPS, intuitively interpreted as a machine feature making it tough, and sometimes even not possible, as it should be predicted …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 2, 2020 · pp. 1–10 Read article
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Discovery of Materials through Applied Machine Learning and General Machine Learning Architecture
Abstract: Advances in artificial intelligence technologies, especially machine learning, have generated possibilities in the material sciences to facilitate material exploration and to achieve a profound understanding of the relationship between the constituent elements of the material and the properties represented by the material. The application of machine learning to the exploration of experimental materials is sluggish due to the monetary and temporal costs of experimental data, however parallel methods, such as …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 2, 2020 · pp. 48–57 Read article
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Real Time Face Mask Detection with Deep Learning
Abstract: The pandemic because of COVID-19 needs no introduction. An all-too-important and successful weapon against it has been the utilization of face masks. A special technique is presented in this paper for detecting automatically whether someone is wearing a mask or not, contingent on the machine learning technique. The findings can be utilized by authorities to warn or fine people for not wearing mask, especially at public places. This work relies …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 1, 2021 · pp. 8–14 Read article