Journal of Computer Technology & Applications
Volume 12, Issue 3 (2021)
Published
Table of contents
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Text Summarizer using NLP (Natural Language Processing)
Abstract: Enormous amounts of information are available online on the World Wide Web. To access information from databases, search engines like Google and Yahoo were created. Because the amount of electronic information is growing every day, the real outcomes have not been reached. As a result, automated summarization is in high demand. Automatic summary takes several papers as input and outputs a condensed version, saving both information and time. The study …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 1–6 Read article
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An Overview of the Emerging Technology: Blockchain
Abstract: Blockchain is fundamentally decentralized, disseminated record of the considerable number of exchanges or occasions which happens simply subsequent to including numerous gatherings. It guarantees elevated level of security as the exchanges which happens are altogether unknown. Every exchange or advanced occasions occurring in a Blockchain arrange is checked, just in the event that it is settled upon by the agreement of the greater part gathering of the clients partaking right …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 18–22 Read article
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Numerical Simulation of Deep Convolutional Neural Network Based Flower Classification System
Abstract: There are more than 250,000 recognized floral plant forms in 350 families. Further more the order, the plant checks of structures, the gardening industry, live plantations and scientific flower classification instructions depend on fruitful flower classification, including a content-based image recuperation. A wide range of applications also includes flower portrayals. The manual classification is however tedious and tiresome, particularly when the picture foundation is perplexing, with a huge number of …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 23–31 Read article
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A Survey on Deep Learning based Detection of Abnormal Human Behaviour using Computer Vision Human Activity Recognition System
Abstract: Abnormal Human activity recognition (Abnormal HAR) systems are very popular among researchers nowadays, they attempt to identify and analyze human activities using acquired information from sensors. Several papers have already been published in the abnormal HAR topics, the technologies in this field have multidisciplinary nature. They need constant updates. Our literature survey divided the approaches into three categories, the first one is about wearable sensor-based approach, the second one is …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 32–41 Read article