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992 articles for “Communities”
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Big Data: A Survey Paper on MapReduce Big Data
Abstract: AbstractHadoop MapReduce is processed for analysis large volume of data through multiple nodes in parallel. However, MapReduce has two function Map and Reduce, large data is stored through HDFS. Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over This survey intends to assist the …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 18–27 Read article
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Masters of Deception: A Group That Ruled Cyberspace
Abstract: While widely used, the term hacker is not always applied as it should be. In the hacking community in particular, there can be stark divisions between hackers - people immensely skilled at navigating computer systems and diagnosing security flaws - and crackers - those who use their hacking knowledge for malicious gain. This same dichotomy is sometimes represented by the terms white hat and black hat. A white hat hacker, …
Published in Recent Trends in Programming languages · Vol. 1, Issue 3, 2014 · pp. 1–3 Read article
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Business Analytics in Today’s World by Coupling Machine Learning and Process Mining
Abstract: Process development and management communities have recently paid a lot of attention to research on machine learning and process mining methodologies. Indeed, these strategies allow for equally automatic process & activity discovery, making them high-value services that aid in the reuse of information to aid decision-making. This article presents a two-layer methodology for determining the most important process patterns to execute based on the design context. At the same time, …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 3, 2021 · pp. 43–49 Read article
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Data Stream Mining
Abstract: A data stream can be considered as an ordered sequence of data items, where the elements of the series continuously arrive as time progresses. Data stream mining is the procedure of extracting knowledge structures from such continuous, rapid data records. Mining data streams nurtures new problems for the data mining community regarding how to mine continuous high-speed data items that you can only have one look at. Due to this …
Published in Recent Trends in Programming languages · Vol. 5, Issue 1, 2018 · pp. 1–5 Read article
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COVID-19 Detection using Convolutional Neural Network (CNN)
Abstract: Coronavirus disease (COVID-19) is spreading across the whole world and has habitual expressive community spread. The sudden hike in the number of patients with COVID-19, i.e. a new respiration virus has an extreme impact on the healthcare system. There are limited kits for diagnosis, hospital beds for such kind of patients, a limited number of personal protective equipment (PPE) for healthcare temporary staff and limited ventilators. A prediction system based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 2, 2021 · pp. 22–30 Read article
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Prediction of Crops Driven by Machine Learning
Abstract: Agriculture has made its own way to make every living being healthy, survive in this universe. In India, we all realize that agriculture is the foundation of the country. Smart things (IoT) have brought modification in each and every area/field of common man’s life by making everything intelligent and smart. The factors that have impacted the crop significantly yield water, UV, pesticides. This paper is for or shows that a …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 2, 2021 · pp. 17–21 Read article
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Role of Deep Learning in Image Recognition
Abstract: Deep learning (DL) is a part of machine learning (ML) while ML is a subarea of artificial intelligence (AI). Deep learning or convolutional neural network (CNN) is a kind of neural network (NN). Nowadays, DL is playing a peculiar role in image recognition. It is being applied for recognizing speeches, language translations, automatic game playing, healthcare, and Self-driving a car as well. The concept of DL was proposed by Alexey …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 34–39 Read article
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Unveiling Distinctions: An In-depth Comparative Study of Cloudera, Microsoft Azure, and Amazon Web Services
Abstract: The purpose of this study is to compare and contrast the different on-premises and cloud-based Hadoop distributions. We will also analyze and contrast various cloud-based offerings and parts. We have settled on Cloudera as our Hadoop distribution of choice and Amazon and Azure as our cloud distribution services of choice. The advent of distributed cloud services has made it feasible to utilize and integrate a wide range of IT services …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 1, 2023 · pp. 27–34 Read article
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An Interface for Communication for the Deaf Using Hand Gesture Recognition through Computer Vision and Natural Language Processing
Abstract: Hand gesture recognition is essential for conquering various challenges and improving human existence. A machine’s capacity to interpret human behaviors and their significance is being used in a large range of applications. Sign language recognition is one area of particular attention. This study will provide a deep analysis of use cases and technologies utilized now for current gesture recognition of hand, recognition of sign language, research done on it and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 25–40 Read article
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Hand Gesture Recognition using Machine Learning and OpenCV
Abstract: People who are deaf or dumb use sign language to communicate with one another and within their own communities. The process of computer recognition of sign language begins with learning sign gestures and progresses until text or speech is generated. Static and dynamic sign gestures are the two categories. Although static gesture recognition is simpler to use than dynamic gesture recognition, both gesture recognition systems are essential to the survival …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 23–33 Read article
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Empowering Machine Learning: Unraveling Algorithms, Real-world Use Cases, and Evolving Research Trends
Abstract: Machine learning has brought about a revolutionary transformation across numerous industries, offering automated solutions to intricate problems. This article aims to delve into the realm of machine learning algorithms, exploring their real-world applications and the evolving research directions in this rapidly advancing field. The paper presents a comprehensive overview of popular machine learning algorithms, encompassing supervised learning, unsupervised learning, and reinforcement learning, while elucidating the underlying principles that govern them. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 70–79 Read article
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Social Media and Security for Networks
Abstract: Social networks area unit of extreme quality in recent era. Individuals from varied age team’s area unit a region of them as a result of it fascinates the user and altogether have interaction them. As most of the social networks area unit in public on the market for everybody, digital security is negotiated due to uncaring practice of it. Individuals practice them to share vital personal information. However, utmost users …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 9, Issue 2, 2022 · pp. 31–36 Read article
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Research on Energy in Cloud Computing
Abstract: One of the most recent technologies is 'Cloud Computing,' which has grown rapidly in recent years with the goal of delivering computing as a utility. This is not an easy task of fulfilling this technological demand. The infrastructure required to support Cloud Computing is a very large data centre with a large volume of data, a large number of servers, and various other related hardware. Several companies are investing in …
Published in Journal of Operating Systems Development & Trends · Vol. 8, Issue 3, 2021 · pp. 28–33 Read article
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A Mobile Application for the Adoption of Animals and Continuous Supervision
Abstract: India's animal population has increased significantly, from 7 million in 2006 to 10 million in 2018. Many people, however, find it difficult to care for pets, especially when they must go away for a few days or are unable to have pets for a variety of reasons. As a result, there have been several cases of pet adoption since some individuals love their pets but are unable to care for …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 10, Issue 1, 2023 · pp. 21–29 Read article
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Implementation of E-mail Security with Three Layers of Authentication
Abstract: E-mails are essentially based on point-to-point communication. E-mails are the most commonly used form of communication in today's business. These are now the most convenient modes of communication for most people. We will also look into adding confidentiality and integrity protection to standard email. In your daily life, how much reliance do you place on the accuracy of its contents? Consider receiving an e-mail from your mentor stating that you …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 2, 2022 · pp. 29–35 Read article
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A New Systematic Approach of Using SVM, KNN, PNN and CNN to Achieve Higher Accuracy for Classification and Recognition of Music Genre
Abstract: In order to overcome challenges like finding songs that are similar, figuring out which cultures would enjoy particular music, conducting surveys, and using music as therapy, classification and recognition of music genres are essential. The expansion of music-related content available online has created new opportunities for the development of music referral systems, which support user communities in searching, finding, sharing, and producing digitally. Our aim is to develop a systematic …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 1–11 Read article
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A Survey on Whitebox Cryptography
Abstract: White-box cryptography techniques are for protecting software implementations of cryptographic algorithms against secret-key recovery, which are running under untrusted environments. They are primarily used as cost-effective alternative in the client-side component of DRM-like applications and payment applications especially in mobile phone. In this paper we captured details of white-box cryptography (WBC) and how it evolved as an important component in modern cryptography from a research paper in 2002 by Chow …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 8, Issue 2, 2021 · pp. 31–37 Read article
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Swachh: An App to a Cleaner India
Abstract: A common sight that one might see in the streets of India is that of garbage and trash carelessly strewn around. It is also not uncommon to see people casually throwing wrappers and other unwanted items on the road, so it comes as no surprise that littering is one of the biggest challenges faced by our country. Littering is not just an issue of aesthetics but poses a major threat …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 2, 2022 · pp. 14–26 Read article
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A Survey of Emerging Threats in Web Security
Abstract: Web communication has developed into a severe enterprise instrument nowadays. Web gadgets “are the main platform for the customers to switch and change numerous information for communication. These units are variably used for purposes beknown banking, private digital assistance, distant working, m-commerce, web access, leisure and medical usage. Even so, persons are nonetheless hesitant to make use of web units as a result of its safety issue. It is critical …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 2, 2022 · pp. 27–31 Read article
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A Review Paper Based on Methodologies and Applications of Data Mining
Abstract: Data mining is like extracting record from a heap of data. Understanding database concepts is vital for data mining. Knowledge Discovery in Databases (KDD) is used to discover crucial data-related information. Our motive is being inundated with exceptional types of information science statistics, environmental records, financial records, and mathematical records. Summarizing the information manually is not possible because of the notable data boom inside the age of community and records …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 8–15 Read article